🏷️ higher-ed

> **Synthesis:** Wu et al. (2026) examined how learning motivation, self-efficacy, anxiety, and risk perception relate to acceptance of AI-assisted English language learning in a Chinese higher-educat…

2026-08-13 · language-learning, generative-ai, motivation, self-regulated-learning, teacher-role

> **Synthesis:** Wang and Zhang (2026) examined how AI-assisted autonomous learning relates to reduced academic accomplishment among 1,264 vocational college students in China, focusing on the mediati…

2026-08-13 · generative-ai, over-reliance, ai-misuse-learning-harm, self-regulated-learning, motivation

> **Synthesis:** Alsaiari et al. (2026) report a large-scale quasi-experimental cohort study (13,037 students; 51,296 student-authored resources) comparing three AI-mediated feedback workflows. Studen…

2026-08-13 · feedback-loop, formative-assessment, learning-analytics, student-experience, self-regulated-learning

> **Synthesis:** Hackl, Müller, and Sailer (2026) present the AI Literacy Heptagon, a structured seven-dimensional framework for AI literacy (AIL) in higher education, developed through an integrative…

2026-08-13 · ai-literacy, curriculum-design, ethics, educational-policy-ai, teacher-role

> **Synthesis:** Arshad et al. (2026) examined how AI-based educational technology influences critical thinking among 480 undergraduate medical students in Pakistan, using a cross-sectional design and…

2026-08-13 · critical-thinking, cognitive-load-theory, self-regulated-learning, generative-ai, ai-literacy

> **Synthesis:** Geger, Briechle, and Rausch (2026) propose a project-based learning approach for teaching robotics in higher education, arguing that classic study programs often fail to prepare stude…

2026-08-13 · educational-robotics, project-based-learning, computational-thinking, active-learning, programming-education

> **Synthesis:** Tufino & Damiani (2026) explore where a language-based AI can stand within an inquiry activity without displacing embodied experience, using a Master's-level physics education course …

2026-08-13 · physics-education, socratic-method, pedagogical-agent, generative-ai, professional-training

> **Synthesis:** Mubarrat, Shao, and Min (2026) present the first PRISMA-aligned systematic review and comparative synthesis of game-based learning (GBL) and gamification in robotics education. Analyz…

2026-08-13 · educational-robotics, game-based-learning, gamification, systematic-review, computational-thinking

> **Synthesis:** Patel et al. (2025) present an LLM-assisted instructional integration with a virtual cybersecurity lab platform, addressing workforce reskilling needs driven by the digital transforma…

2026-08-13 · generative-ai, cybersecurity, llm, experiential-learning, instructional-assistant

> **Synthesis:** Ahmed and Sultan (2026) investigated how perceived autonomy, competence, relatedness, expectancy, and value influence autonomy support for AI use, autonomous motivation, and ultimatel…

2026-08-13 · generative-ai, motivation, self-determination-theory, engagement-metrics, personalized-learning

> **Synthesis:** Gao, Sun, and Khan (2026) developed a dual-pathway model examining both the positive and negative effects of generative AI use on sustainable learning performance, integrating AI lite…

2026-08-13 · generative-ai, over-reliance, ai-literacy, self-regulated-learning, cognitive-offloading

> **Synthesis:** Niousha, Kang, & Norouzi (2026) introduce **INTERNAL STUDENT DIALOGUE (INSIDE)**, a student modeling framework that fine-tunes LLMs to both *act* like students and *think* like them. …

2026-08-13 · student-modeling, llm, intelligent-tutoring, learning-analytics, personalized-learning

> **Synthesis:** Vonschallen, Oberle, Schmiedel, and Eyssel (2026) adopt a knowledge-based design perspective to investigate what information tutoring-oriented generative social robots (GSRs) require …

2026-08-13 · social-robots, generative-ai, tutoring, design, ethics

> **Synthesis:** Sirnoorkar & Mamidpalliwar (2026) investigate the association between introductory physics students' preferences for chatbot behavior and their epistemological beliefs, using a custom…

2026-08-13 · physics-education, chatbot, socratic-method, ai-literacy, student-experience

> **Synthesis:** Roy & Roy (2026) argue that the **infrastructure of AI** — training corpora, tokenization, benchmarks, deployment architectures — systematically disadvantages speakers of underreprese…

2026-08-13 · equity, multilingual-learning, language-learning, digital-divide, global-south

> **Synthesis:** Liu, Meng, and Zhang (2026) examined technology acceptance of text-to-image (T2I) generative AI in art and design education from both educators' and students' perspectives, using a mo…

2026-08-13 · generative-ai, creativity, ai-literacy, student-experience, trust-calibration

> **Synthesis:** This Discobot project study (2026) examines how robot appearance and task type jointly influence trust in socially assistive robots (SARs) in educational and information-sharing conte…

2026-08-13 · social-robots, human-robot-interaction, trust, educational-robotics, social-cognitive

> **Synthesis:** Vonschallen, Kaufmann, Oberle, Eyssel, and Schmiedel (2026) operationalize knowledge-based design (KBD) requirements for generative social robots (GSRs) by implementing them in the Re…

2026-08-13 · social-robots, generative-ai, tutoring, llm, educational-robotics

> **Robots in education (educational robotics)** — the use of physical or simulated robots as tools for teaching and learning. Educational robotics spans a wide spectrum: from programmable kits that t…

2026-08-13 · educational-robotics, human-robot-interaction, computational-thinking, stem-education, k-12

> **Experiential learning** — learning through direct experience, reflection, and the application of knowledge in authentic or hands-on contexts ("learning by doing"). Drawing on Kolb's experiential l…

2026-08-13 · experiential-learning, active-learning, project-based-learning, embodied-learning, learning-by-doing

> **AI governance** — the frameworks, policies, institutional structures, and norms that guide the responsible design, deployment, and use of artificial intelligence in education. Governance spans for…

2026-08-13 · policy, ethics, institutional-change, privacy, responsible-ai

> **Programming education** — the teaching and learning of computer programming, from introductory block-based programming to advanced software development. In the AI era, programming education increa…

2026-08-13 · programming-education, computational-thinking, cs-education, educational-robotics, k-12

> **Project-based learning (PBL)** — an active, learner-centred pedagogy in which students learn by engaging in extended, real-world projects that require inquiry, problem solving, and the application…

2026-08-13 · project-based-learning, active-learning, collaborative-learning, educational-robotics, k-12

> **Research methods in AIED** — the set of empirical designs, data-collection strategies, and analytic techniques researchers use to study AI in education: whether and how AI tools support (or harm) …

2026-08-13 · ai-education, educational-measurement, efficacy-study, rct, benchmark

> **Social-emotional learning (SEL)** — the process of developing the competencies that enable individuals to synchronize thoughts, emotions, and actions to foster positive interactions with oneself a…

2026-08-13 · ai-literacy, affective-computing, well-being, teacher-ai-competency, student-experience

> **Student engagement** — the degree and quality of a learner's active involvement in the learning process, most often decomposed into behavioral, cognitive, and affective dimensions. In AI-education…

2026-08-13 · student-experience, motivation, self-regulated-learning, generative-ai, ai-education

> **Well-being** — the positive state of being mentally, physically, and socially healthy, encompassing emotional, psychological, and social dimensions. In AI in education, well-being has become a cen…

2026-08-13 · student-experience, social-emotional-learning, ethics, ai-literacy, mental-health

> **Synthesis:** This survey of 380 pre-service science teachers in Ghana, guided by UTAUT and the Theory of Planned Behaviour, finds generally positive perceptions of AI and strong intentions to use …

2026-08-12 · teacher-ai-competency, teacher-role, ai-literacy, stem-education, survey

> **Synthesis:** This pilot study (N = 22 STEM higher-education students) evaluates AI-generated interactive fiction as an educational medium. Narrative clarity and length acceptance rated positively,…

2026-08-12 · generative-ai, ai-tutoring, student-experience, engagement-metrics, curriculum-design

> **Synthesis:** This article examines how generative AI and intelligent visualization platforms are reshaping interior design practice in Malaysia, shifting designers from primary form-generators tow…

2026-08-12 · generative-ai, curriculum-design, professional-training, teacher-role, equity

> **Synthesis:** This conceptual paper proposes adding *production* — the capability to deliver professional-standard work by directing tools and other people — as a fourth attribute of competency-bas…

2026-08-12 · assessment, assessment-validity, academic-integrity, generative-ai, automated-assessment

> **Synthesis:** Based on expert interviews and a survey of 141 university students in Communication and Education programs, this study finds that while technology offers real opportunities for teachi…

2026-08-12 · ai-literacy, critical-thinking, teacher-role, curriculum-design, equity

> **Synthesis:** The StudentXGenAI Project surveyed more than 7,000 students across 7 UK institutions (September–December 2025) on GenAI use in their studies, comparing findings with a companion Austr…

2026-08-12 · student-experience, generative-ai, academic-integrity, equity, ethics

> OATutor (Open Adaptive Tutor) is the first open-source adaptive tutoring system built on Intelligent Tutoring System (ITS) principles, developed at UC Berkeley's CAHL Lab. It combines an MIT-license…

2026-08-12 · intelligent-tutoring, adaptive-learning, open-source, knowledge-tracing, math-education

> **Synthesis:** Design-Based Research for Developing an AI-Assisted Collaborative Learning Model to Enhance Critical Thinking and Problem-Solving Skills in Higher Education…

2026-08-11 · collaborative-learning, generative-ai, critical-thinking, problem-solving, design-based-research

> **Synthesis:** AI chatbot design principles to enhance the collective efficacy in collaborative learning…

2026-08-11 · collaborative-learning, generative-ai, collective-efficacy, chatbot-design, design-based-research

> **Synthesis:** Artificial Intelligence and Collaborative Learning: Impacts on Creativity, Critical Thinking, and Problem-Solving…

2026-08-11 · collaborative-learning, generative-ai, critical-thinking, problem-solving, creativity

> **Synthesis:** A systematic review of AI-powered collaborative learning in higher education: Trends and outcomes from the last decade…

2026-08-11 · collaborative-learning, generative-ai, systematic-review, learning-analytics

> **Synthesis:** Unravelling undergraduates' development of evaluative judgments through AI-supported internal feedback…

2026-08-11 · generative-ai, feedback-loop, writing-instruction, self-regulated-learning, assessment-literacy

> **Synthesis:** This systematic literature review examines how AI is positioned in UK higher-education policy and its influence on institutional pedagogical decision making, finding that AI integrati…

2026-08-11 · policy, ai-governance-education, ethics, equity, systematic-review

> **Synthesis:** Artificial intelligence assisted design of a novel cooperative learning technique for higher education…

2026-08-11 · cooperative-learning, collaborative-learning, generative-ai, teacher-education, mixed-methods

> **Synthesis:** This PRISMA-guided systematic review synthesizes 125 peer-reviewed studies (2022–2025) on generative AI in higher education, documenting exponential adoption (92% student usage by 202…

2026-08-11 · generative-ai, systematic-review, assessment, personalized-learning, ai-literacy

> **Synthesis:** Szekely, Gal-Ezer & Harel (2026) argue that AI-mediated knowledge access warrants rethinking fixed higher-education curricula, proposing "learnity graphs" — structured representations…

2026-08-11 · curriculum-design, lifelong-learning, knowledge-graph, personalized-learning, generative-ai

> **Synthesis:** Can Large Language Models Foster Critical Thinking, Teamwork, and Problem-Solving Skills in Higher Education?: A Literature Review…

2026-08-11 · collaborative-learning, generative-ai, critical-thinking, problem-solving, systematic-review

> **Synthesis:** This conceptual preprint develops the Prompt-Context-Harness-Loop Framework for Higher Education (PCHL-HE), a pedagogically grounded vocabulary that differentiates four increasingly c…

2026-08-11 · generative-ai, agentic-ai, prompt-engineering, instructional-design, verification

> **Synthesis:** Cheng, Chung, Chiu, Lin & Liao (2026) present Spritz, a Discord-based [[llm]] technology probe that mediates disciplinary boundaries in interdisciplinary student project teams, findin…

2026-08-11 · collaborative-learning, project-based-learning, human-ai-collaboration, conversational-agents, llm

> **Synthesis:** This paper proposes the Absent Cognitive Baseline (ACB) as a conceptual framework describing how pervasive generative AI use during secondary schooling may reduce the independent cogn…

2026-08-10 · metacognition, generative-ai, cognitive-offloading, self-regulated-learning, student-experience

> **Synthesis:** Testa, Apuzzo, and Pittaway (2026) investigate how AI-related competencies contribute to career adaptability in business and management education. Surveying 339 university students in…

2026-08-10 · ai-literacy, career-adaptability, student-experience, assessment, equity

> **Synthesis:** This paper presents a six-phase AI-assisted instructional design architecture based on the Curriculum as Code paradigm, integrating Generative AI with LaTeX and Python to automate the…

2026-08-10 · instructional-design, stem-education, generative-ai, curriculum-design, project-based-learning

> **Synthesis:** This study explores the impact of robot-LLM integration on collaborative creative writing, focusing on how embodiment and AI creativity influence creative output. With 150 undergradua…

2026-08-10 · collaborative-learning, engagement-metrics, creativity, ai-education, ai-tutoring

> **Synthesis:** Le, Huynh, Dang, Pham, Nguyen, and Nguyen (2026) develop and evaluate a design-based research (DBR) intervention providing GenAI literacy training for teacher education students. Argu…

2026-08-10 · ai-literacy, teacher-ai-competency, faculty-development, pedagogical-llm-training, k-12

> **Synthesis:** This systematic scoping review examines the use of GenAI to support the teaching of computational thinking skills. Results reveal a young but rapidly growing research field, with most…

2026-08-10 · generative-ai, computational-thinking, ai-tutoring, systematic-review, design-guidelines

> **Synthesis:** This study compares the pedagogical effects on students' design thinking and students' perceptions of feedback systems by GenAI and human instructors. A within-class randomized experi…

2026-08-10 · generative-ai, feedback-design, design-thinking, privacy, ai-education

> **Synthesis:** This paper presents a scoping review of learning-to-learn (L2L) definitions within pedagogical and psychological literature, identifying 21 relevant publications via PRISMA-ScR. It pr…

2026-08-10 · generative-ai, self-regulated-learning, language-learning, systematic-review, epistemic-agency

> **Synthesis:** Samuel (2026) introduces the **Epistemic Entanglement Framework**, a theory-informed model for understanding how learners engage with generative AI (GenAI) systems. Arguing that exist…

2026-08-10 · epistemic-agency, ai-literacy, critical-thinking, human-ai-interaction, metacognition

> **Synthesis:** Dawson and Pardo (2026) argue that generative AI (GenAI) is precipitating a systemic, paradigmatic transformation of education — not a passing fad — and that traditional bureaucratic …

2026-08-10 · generative-ai, leadership, institutional-change, learning-analytics, governance

> **Synthesis:** Shapiro, Souto-Otero, and Watermeyer (2026) argue that conventional AI literacy frameworks anchored in functional skills acquisition fail to address the fundamental epistemological ch…

2026-08-10 · ai-literacy, metacognition, critical-thinking, ethics, ai-education

> **Synthesis:** Rienties et al. (2026) examine how the Open University (UK) — a large-scale distance learning institution teaching 200K+ learners across 50+ countries — designed, implemented, and eva…

2026-08-10 · generative-ai, distance-learning, design-based-research, ai-chatbots, governance

> **Synthesis:** Pangrazio (2026) offers a critical editorial questioning whether AI literacy is a meaningful or even achievable goal. Tracing the history of literacy from its elite origins through ma…

2026-08-10 · ai-literacy, critical-thinking, ethics, ai-education, equity

> **Synthesis:** Pecuchova, Benko, and Drlik (2026) investigate the capacity of a large language model (GPTo1) to generate formative feedback for student-created UML diagrams in a university software …

2026-08-10 · generative-ai, formative-assessment, ai-feedback-quality, curriculum-design, self-regulated-learning

> **Synthesis:** Palmquist, Sigurdardottir, and Myhre (2025) conduct a narrative literature review examining the intersection of AI literacy and social-emotional competencies (SEC) in education, propo…

2026-08-10 · ai-literacy, affective-computing, teacher-ai-competency, ethics, ai-education

> **Synthesis:** Large language model (LLM) tutors are being deployed in introductory physics courses at a scale that produces transcript corpora far larger than traditional qualitative coding can abs…

2026-08-10 · ai-tutoring, physics-education, socratic-method, discourse-analysis, llm

> **Synthesis:** Chiu, Bali, Tondeur, Howard, and Chan (2026) apply self-determination theory (SDT) to investigate how need-supportive professional development (PD) impacts teachers' AI literacy, atti…

2026-08-10 · ai-literacy, teacher-ai-competency, faculty-development, professional-training, motivation

> **Synthesis:** This experience report describes the redesign of an introductory AI course at the University of Washington Bothell in response to LLMs being able to complete most assignments. The red…

2026-08-10 · academic-integrity, ai-literacy, course-redesign, assessment, generative-ai

> **Synthesis:** This study employed a three-layer analytical method combining cluster analysis, content analysis and complex network analysis to investigate how socially shared regulation of learning…

2026-08-10 · self-regulated-learning, collaborative-learning, ai-education, ai-tutoring, educational-technology

> **Synthesis:** By adopting the Will, Skill, Tool (WST) model, this study explores how EMI students' intentions to use GenAI for academic writing are shaped by AI-specific variables. Survey data from…

2026-08-10 · generative-ai, ai-literacy, policy, technology-adoption, ai-education

> **Synthesis:** Amponsah, Adu-Boahen, Commey-Mintah, Kumassah, Ayittey & Nketsiah (2026) survey 380 pre-service science teachers in Ghana using UTAUT and TPB frameworks, finding generally positive AI…

2026-08-09 · ai-literacy, teacher-training, k-12, stem-education, generative-ai

> **Synthesis:** This exploratory study investigates how undergraduates use [[llm|LLMs]] to debug malfunctioning analog circuits under exam conditions, identifying both promising [[human-ai-collaborat…

2026-08-09 · human-ai-collaboration, computing-education, stem-education, qualitative-research, llm

> **Synthesis:** Choi, Tate, Ritchie, Nixon & Warschauer (2025) investigate the most practical approach to LLM-based automated essay scoring — prompting — and find that providing anchor papers (exampl…

2026-08-09 · automated-essay-scoring, prompt-engineering, llm, generative-ai, assessment

> **Synthesis:** In a [[rct|randomized controlled trial]] with 1,174 participants, Cruces et al. find that [[generative-ai|generative AI]] substantially narrows education-based productivity gaps, clos…

2026-08-09 · rct, productivity, equity, generative-ai, ai-education

> **Synthesis:** This study analyzes AI policies across higher education institutions in 34 U.S. states, using NLP to uncover a clear divergence: university-level policies emphasize data security and …

2026-08-09 · ai-education, regulation, policy, institutional-change, ai-literacy

> **Synthesis:** Misiejuk, López-Pernas, Kaliisa, and Saqr (2026) analyze 281 prompts from 122 student submissions across four assignments to examine how prompting strategies reveal cognitive offloadi…

2026-08-09 · cognitive-offloading, prompting-literacy, student-experience, learning-analytics, ai-literacy

> **Synthesis:** Talebzadeh (2026) conducts a quasi-experimental study with 28 pre-service teacher teams, finding that AI-assisted Sustainable Development Pedagogy constraints significantly improve in…

2026-08-09 · generative-ai, teacher-role, instructional-design, ai-education, sustainability

> **Academic integrity** — the ethical framework governing honest academic work in the age of AI. The wiki documents how the concept has been reframed by generative AI: from a problem of detecting dis…

2026-08-09 · assessment-validity, ai-literacy, plagiarism-detection, authentic-assessment, educational-policy-ai

> **Accessible Learning** — the design and delivery of educational experiences that accommodate diverse learner needs, spanning physical, cognitive, sensory, and situational differences. In AI in educ…

2026-08-09 · accessible-learning, equity, special-education, instructional-design, neurodiversity

> **Active Learning** — instructional approaches that engage students in doing things and thinking about what they are doing, rather than passively receiving information. In AI in education, active le…

2026-08-09 · active-learning, instructional-design, student-experience, scaffolding, k-12

> **AI Education** — the broad field encompassing both AI in education (using AI to teach) and AI literacy (teaching about AI). As the wiki's umbrella concept, AI education connects instructional tech…

2026-08-09 · ai-literacy, ai-tutoring, generative-ai, llm, k-12

> **Assessment** is a central concept in AI in education research, connected to 8 articles in this wiki. …

2026-08-09 · ai-education, generative-ai, student-experience

> **Automated Essay Scoring (AES)** — the use of AI to evaluate and score written essays, spanning traditional statistical approaches, fine-tuned language models, and increasingly accessible LLM-based…

2026-08-09 · assessment, automated-assessment, writing-education, generative-ai, llm

> **Collaborative Learning** — instructional approaches where students work together to solve problems, complete tasks, or construct knowledge, supported or mediated by AI tools. In AI in education, c…

2026-08-09 · collaborative-learning, cscl, ai-education, student-experience, scaffolding

> **Critical thinking** — the ability to analyze, evaluate, and synthesize information — is both a skill that AI tools can help develop and a competency that students must apply when using AI. In AI i…

2026-08-09 · ai-education, generative-ai, ai-literacy, scaffolding, socratic-method

> **CS Education** — computer science education is the most-researched STEM subfield in the wiki, benefiting from natural alignment between AI tools and programming tasks. Code generation, debugging a…

2026-08-09 · computational-thinking, stem-education, automated-grading, prompt-engineering, k-12

> **Design Thinking** — a key concept in AI in education research. Explored across 1 articles in this wiki.…

2026-08-09 · ai-education, generative-ai, student-experience

> **Edtech Platform** is a central concept in AI in education research, connected to 15 articles in this wiki. …

2026-08-09 · ai-education, generative-ai, student-experience

> **Educational AI policy** — the formal and informal rules governing AI use in educational institutions, from national legislation to classroom guidelines. Policy research in the wiki spans instituti…

2026-08-09 · regulation, ai-governance-education, faculty-development, equity, k-12

> **Efficacy Study** — a key concept in AI in education research. Explored across 6 articles in this wiki.…

2026-08-09 · ai-education, generative-ai, student-experience

> **Engagement metrics** — the range of observable signals and measurement approaches researchers and systems use to operationalize [[student-engagement|student engagement]] in AI-supported learning: …

2026-08-09 · ai-education, generative-ai, student-experience, learning-analytics, engagement-metrics

> **Equity** — the principle that AI in education should serve all learners fairly, without exacerbating existing disparities. Equity research in the wiki examines access gaps, bias in AI systems, cul…

2026-08-09 · bias-mitigation, special-education, accessible-learning, culturally-relevant-pedagogy, ai-literacy

> **Faculty development** — the processes, programs, and institutional supports that help educators develop the skills and confidence to teach effectively with AI. Faculty development spans individual…

2026-08-09 · teacher-ai-competency, teacher-role, ai-literacy, educational-policy-ai, k-12

> **AI in Higher Education** — the integration of artificial intelligence into university teaching, learning, assessment, and administration. Higher education is the most-studied context in the wiki, …

2026-08-09 · ai-education, generative-ai, faculty-development, student-experience, academic-integrity

> **Instructional Design** — the systematic process of creating effective learning experiences through the analysis of learning needs and the design, development, implementation, and evaluation of ins…

2026-08-09 · instructional-design, curriculum-design, faculty-development, scaffolding, generative-ai

> **Intelligent Tutoring Systems (ITS)** — a well-established subfield of AI in education that uses AI to model student knowledge, adapt instruction, and provide personalized feedback, typically throu…

2026-08-09 · ai-education, ai-tutoring, adaptive-learning, scaffolding, student-modeling

> **K-12 AI education** — the use of artificial intelligence in primary and secondary education, spanning AI literacy curricula, AI tutoring, teacher support, and safety considerations unique to young…

2026-08-09 · pedagogical-safety, ai-literacy, teacher-role, equity, special-education

> **Language Learning** — the study of how AI supports second language (L2) acquisition, writing development, and linguistic diversity in educational settings. AI in education research in this wiki sp…

2026-08-09 · language-learning, ai-education, generative-ai, writing-education, k-12

> **Learning gains** — measurable improvements in student knowledge, skills, or competencies resulting from educational interventions, including AI-assisted instruction. In AI in education research, l…

2026-08-09 · assessment, ai-ed-evaluation, student-experience, k-12

> **Math Education** — the study of how students learn mathematics and how AI can support mathematics teaching, spanning affective tutoring, cognitive diagnosis from handwritten work, productive strug…

2026-08-09 · math-education, stem-education, ai-tutoring, intelligent-tutoring, k-12

> **Multimodal** — a key concept in AI in education research. Explored across 3 articles in this wiki.…

2026-08-09 · ai-education, generative-ai, student-experience

> **Physics Education** — the study of how students learn physics and how to teach it more effectively, spanning Socratic AI tutoring, computational thinking assessment, student trust and AI adoption …

2026-08-09 · physics-education, stem-education, ai-tutoring, generative-ai, student-experience

> **Professional training** — the use of AI for workforce development, corporate learning, and professional skill acquisition. Professional training extends AI in education beyond formal schooling int…

2026-08-09 · lifelong-learning, adult-learning, faculty-development, ai-literacy, simulation-based-learning

> **RCT** — a key concept in AI in education research. Explored across 2 articles in this wiki.…

2026-08-09 · ai-education, generative-ai, student-experience

> **AI regulation** — the laws, policies, and governance frameworks that control how AI is developed and deployed in educational settings. Regulation in the wiki spans government policy, institutional…

2026-08-09 · educational-policy-ai, ai-governance-education, ethics, privacy, pedagogical-safety

> **Socratic Method** — a pedagogical approach rooted in guided questioning and dialogue rather than direct instruction, now being adapted for generative AI tutoring systems. In AI in education, the S…

2026-08-09 · ai-education, generative-ai, student-experience, scaffolding, intelligent-tutoring

> **Special Education** — the design and delivery of instruction for learners with disabilities, spanning cognitive, physical, sensory, and neurodevelopmental differences. AI in education research in …

2026-08-09 · special-education, accessible-learning, equity, neurodiversity, ai-education

> **STEM Education** — science, technology, engineering, and mathematics education is the most common domain for AI in education research in the wiki. STEM's structured knowledge, clear right/wrong an…

2026-08-09 · cs-education, math-education, physics-education, computational-thinking, k-12

> **Student experience with AI** — how learners perceive, interact with, and are affected by AI tools in educational settings. With over 85 articles in the wiki, student experience is one of the most-…

2026-08-09 · generative-ai, llm, ai-literacy, over-reliance, cognitive-offloading

> **Teacher role** — how AI reshapes the work, identity, and agency of educators. With 50+ articles examining this dimension, the wiki documents a fundamental transformation: from sole knowledge autho…

2026-08-09 · faculty-development, teacher-ai-competency, ai-literacy, k-12, scaffolding

> **AI in writing education** — the use of AI tools for writing instruction, assessment, feedback, and the study of how generative AI reshapes the writing process itself. Writing education is one of t…

2026-08-09 · automated-essay-scoring, ai-feedback-quality, academic-integrity, cognitive-offloading, ai-literacy

> **Synthesis:** Becker, Bauer, Schrader, Bitzenbauer & Veith (2026) analyze 1,189 survey responses from physics students using qualitative content analysis and latent class analysis, identifying two …

2026-08-08 · physics-education, student-experience, ai-literacy, stem-education, trust-calibration

> **Synthesis:** Fouad & Bentley (2026) survey 81 introductory physics students and find a striking 50-percentage-point trust-utility gap: 91% use AI for coursework but only 41% trust AI physics expla…

2026-08-08 · physics-education, trust-calibration, ai-literacy, student-experience, stem-education

> **Synthesis:** Idan & Anand (2026) conduct an RCT showing that GenAI access significantly increases task performance on average — but the gains are highly uneven, NOT predicted by GPA or prior knowl…

2026-08-08 · generative-ai, ai-literacy, equity, productivity, efficacy-study

> **Synthesis:** Graf et al. (2026) transformed a conventional Learning Analytics Dashboard (LAD) into an interactive ILAD by adding an LLM-powered pedagogical agent and a Judgement of Learning (JoL) …

2026-08-08 · learning-analytics, metacognition, llm, engagement-metrics, self-regulated-learning

> **Synthesis:** Liang, Yang, Sha, Gašević, Yan & Chen (2026) systematically review 56 empirical studies on GenAI in education through the AIED-HCD framework, analyzing three human–AI interaction mode…

2026-08-08 · systematic-review, generative-ai, human-ai-interaction, ai-literacy, efficacy-study

> **Synthesis**: Pedagogical agents are AI-driven conversational interfaces embedded in learning environments that use pedagogical strategies (eliciting, telling, scaffolding) to support learner engag…

2026-08-08 · intelligent-tutoring, llm, student-ai-interaction, scaffolding, generative-ai

> **Synthesis:** This paper analyses 23 publicly available syllabi from upper-division, credit-bearing university courses that teach AI-assisted software development. The study identifies common curri…

2026-08-07 · ai-education, curriculum-design, software-engineering, instructional-design, generative-ai

> **Synthesis:** This paper presents CourseGraph, a methodology for automatically evaluating external course equivalences by modelling course content as structured knowledge graphs. Designed for stude…

2026-08-07 · cs-education, curriculum-design, edtech-platform, student-experience, administrator

> **Synthesis:** A multisite, cluster-randomized field experiment (1,176 first-year undergraduates, 48 sections, 4 universities, 3 science domains) compares four feedback designs for scientific argume…

2026-08-07 · generative-ai, feedback-design, scientific-argumentation, self-regulated-learning, peer-feedback

> **Synthesis:** Savage, Shanker, Michlitsch & Rebello (2026) investigate using LLMs to evaluate students' written explanations of computational physics problems at scale. Establishing a human-coded b…

2026-08-07 · llm, computational-thinking, physics-education, stem-education, assessment

> **Synthesis:** Lodge & Loble (2026) provide a comprehensive report on the cognitive science behind AI use in education, arguing that the core risk of generative AI is not plagiarism but cognitive of…

2026-08-07 · cognitive-offloading, ai-literacy, equity, metacognition, teacher-role

> **Synthesis:** Tufino (2026) pilots a simulated multi-agent AI classroom where five AI students each enact distinct dual-process theory (DPT) reasoning hazards, giving prospective physics teachers r…

2026-08-07 · multi-agent, physics-education, teacher-training, dual-process-theory, simulation

> **Synthesis:** This paper proposes a precision education framework that adapts precision medicine's predictive, preventive approach to higher education. It envisions AI-powered student digital twins…

2026-08-07 · adaptive-learning, student-modeling, personalized-learning, predictive-modeling, learning-analytics

> **Synthesis:** Drawing on longitudinal deployment data from the National AI Institute for Adult Learning and Online Education (AI-ALOE), this DIS 2026 paper synthesizes 19 empirically grounded desig…

2026-08-06 · adult-learning, design-guidelines, andragogy, ai-education, human-computer-interaction

> **Synthesis:** Investigates adversarial AI design agents that enact constructive conflict to prompt reconsideration in novice designers. Between-subjects experiment (N=48) comparing adversarial vs. …

2026-08-06 · agentic-ai, design-thinking, scaffolding, student-ai-interaction, collaborative-learning

> **Synthesis:** Proposes a four-component AI literacy framework for legal translation professionals: conceptual AI knowledge, technical operational skills, critical evaluation competencies, and ethic…

2026-08-06 · ai-literacy, professional-training, generative-ai, pedagogical-safety, human-in-the-loop

> **Synthesis:** Work-in-progress exploring LLMs as debugging assistants for physical hardware lab courses. Proposes 'Chat-Debugging' where students interact with an LLM to diagnose circuit faults. Ai…

2026-08-06 · llm, cs-education, scaffolding, stem-education, student-experience

> **Synthesis:** Instructional Agents is a multi-agent LLM framework that automates end-to-end course material generation by simulating role-based collaboration among Teaching Faculty, Instructional D…

2026-08-06 · multi-agent, llm, instructional-design, course-generation, addie

> **Synthesis:** KnowLoop, a dual-agent conversational system for post-lecture review, structures learning around three stages—Recognize (mark in-situ confusion during lectures), Resolve (Teaching Ass…

2026-08-06 · conversational-agents, personalized-learning, learning-by-teaching, dual-agent, scaffolding

> **Synthesis:** Systematic study of domain-adapted text-to-image models for nuclear engineering education. Fine-tunes Stable Diffusion on nuclear domain images; fine-tuned model achieves 78% domain a…

2026-08-06 · generative-ai, stem-education, ai-generated-content, multimodal, content-quality

> **Adult Learning** — a key concept in AI in education research. Explored across 1 articles in this wiki.…

2026-08-06 · adult-learning, design-guidelines, andragogy, ai-education, human-computer-interaction

> **Help-Seeking** — a key concept in AI in education research. Explored across 4 articles in this wiki.…

2026-08-06 · help-seeking, intelligent-tutoring, student-experience, metacognition, llm

> **Behaviorally Adaptive Visual Diversion for Inclusive and Resilient Digital Assessment Delivery** — Proposes BAVD, a theoretical framework for adaptive visual diversion in digital assessment that r…

2026-08-05 · assessment, accessible-learning, privacy, academic-integrity, equity

> **When AI Wears Many Hats: The Role of Generative Artificial Intelligence in Marketing Education** — Uses multipronged analysis (syllabi review, educator survey, qualitative interviews) and Role The…

2026-08-05 · generative-ai, pedagogy, instructional-design, teacher-role, professional-training

> **Beyond Compliance: A Proposed Framework for Ethical Governance of Student Data in Learning Analytics** — Proposes LEAGUE framework (Lawfulness, Equity, Agency, Governance, Utility, Ethics by Desig…

2026-08-05 · learning-analytics, privacy, equity, ethics, regulation

> **GPT-4o-mini can produce stable rubric-based scores for open-ended music analysis responses, with few-shot chain-of-thought prompting agreeing most strongly with teacher means while RAG systematica…

2026-08-04 · automated-grading, llm, assessment-validity, ai-ed-evaluation, rag

> **OECD flagship report** synthesising empirical evidence and expert insights on generative AI in education. Central finding: general-purpose AI chatbots improve task performance but produce no durab…

2026-08-04 · generative-ai, pedagogy, tutoring, teacher-support, assessment

> **RAIL-Ed is an integrative, developmental, and dialectical framework for generative AI literacy in K-12 teacher education, built from a systematic review of 67 studies and specifying six interdepen…

2026-08-04 · ai-literacy, generative-ai, k-12, teacher-role, educational-theory

A randomized experiment (n = 79 medical/nursing students) examining how the **initiative design** of an AI writing agent shapes reasoning, agency, and immediate independent performance. Students compl…

2026-08-03 · generative-ai, ai-literacy, writing-education, agentic-ai, equity

> Generative AI has not created the need for authentic assessment — it has made weaknesses in assessment design harder to ignore. Polished products can now be generated or substantially mediated by to…

2026-08-03 · authentic-assessment, assessment, assessment-validity, ai-ed-evaluation, generative-ai

> Detection-led responses face well-documented limits: validity and fairness failures (bias against non-native writers), notable error rates, erosion of trust, and distraction from assessment design. …

2026-08-03 · authentic-assessment, ai-detection, academic-integrity, assessment, generative-ai

A conceptual/position paper arguing that feedback in an age of GenAI must be understood as **"matters of care"** — ethical, relational practices rather than information transmission. It builds on a te…

2026-08-03 · generative-ai, feedback-loop, educational-theory, equity, teacher-role

A qualitative study of **16 undergraduates** at a Hong Kong teacher-education university who used **ChatGPT 3.5** to obtain feedback on IELTS writing tasks. Data came from unobtrusive screen-recorded …

2026-08-03 · generative-ai, feedback-loop, student-experience, ai-literacy, language-learning

A correlational study (N = 67 undergraduate psychology students, Bielefeld University) testing two **protective factors against uncritical GenAI overreliance**: (1) **knowledge about genAI** and (2) t…

2026-08-03 · ai-literacy, student-experience, over-reliance, educational-theory, ai-literacy-assessment-misalignment

This editorial synthesises the seven papers of the AEHE 51(5) special issue on feedback in the age of generative AI. Its central claim: the question is **not whether GenAI feedback is useful, but how …

2026-08-03 · generative-ai, feedback-loop, ai-literacy, educational-theory, equity

The largest study in the AEHE 51(5) special issue: a **cross-sectional survey across four Australian universities** (≈192,000 invited; 10,132 volunteered; this paper analyses **6,960 students** who an…

2026-08-03 · generative-ai, feedback-loop, student-experience, ai-literacy, engagement-metrics

> **Araz Yusubov, Michael Bechtel, Tangiz Alizada** — arXiv preprint (2026).…

2026-08-03 · edtech-platform, active-learning, engagement-metrics, blended-learning, k-12

An empirical study of **21 higher-education teachers** using **PolyFeed**, an AI-powered feedback tool combining (1) a **BERT-based ML model** (from Aldino et al. 2024) that detects which learner-cent…

2026-08-03 · generative-ai, feedback-loop, teacher-role, faculty-development, scaffolding

> Meyer, Page, Mata et al. (2026) ran two pre-registered RCTs at Georgia State University testing a **non-generative** academic chatbot that texted students 2–3 customized nudges per week in large-enr…

2026-08-03 · student-experience, generative-ai, engagement-metrics, rct, rag

> **Dimitris Tsirmpas, Katerina Korre, John Pavlopoulos** — arXiv preprint (2026).…

2026-08-03 · llm, collaborative-learning, student-ai-interaction, engagement-metrics, nlp-education

> **Shixian Zhou, Minghuan Shen, Xiaolin Wen, Zijun Qiu, Yongliang Jiang, Xiangyang Wu, Fei Wu, Yong Wang, Zhiguang Zhou** — arXiv preprint (2026).…

2026-08-03 · learning-analytics, multimodal, student-experience, engagement-metrics, edtech-platform

> **Shuang Geng, Helen Lallos-Harrell, Jiya Ashar, Thomas J. McKenna, Annwesa Dasgupta, Caleb Farny, Emma Lejeune** — arXiv preprint (2026).…

2026-08-03 · llm, stem-education, student-experience, teacher-role, scaffolding

> **Agentic AI** — AI systems that autonomously plan, execute, and adapt multi-step workflows to achieve learning goals, going beyond single-turn Q&A to act as persistent, goal-directed collaborators:…

2026-08-01 · agentic-ai, generative-ai, llm, intelligent-tutoring, scaffolding

> **AI tutoring** — the use of AI (especially [[llm|LLMs]] and [[intelligent-tutoring|intelligent tutoring systems]]) to provide personalized, adaptive, scalable instructional support: conversational …

2026-08-01 · intelligent-tutoring, generative-ai, llm, scaffolding, feedback-loop

Studies student perceptions of AI-generated instructional videos in computing education. Finds students value personalization and rapid production but express concerns about accuracy and the loss of i…

2026-07-31 · generative-ai, student-experience, stem-education

Examines the integration of deep generative models into architectural design education. The findings, based on students' views and observations in design studios, suggest that GenAI supports the explo…

2026-07-31 · generative-ai, student-experience, active-learning

Structured scholarly dialogue among five sociolinguists examining how GenAI tools influence academic writing practices, reinforce or disrupt linguistic hierarchies, and impact the legitimacy of divers…

2026-07-31 · generative-ai, writing-education, equity, language-learning

Introduces ICLE++, a new annotated corpus of persuasive student essays that addresses critical limitations of the dominant ASAP benchmark in [[automated-essay-scoring]] research. Unlike ASAP — used by…

2026-07-31 · automated-essay-scoring, automated-grading, benchmark, educational-measurement, formative-assessment

Examines how different forms of learner-AI interaction relate to learning outcomes in object-oriented programming courses. Identifies distinct patterns of GenAI use among students and correlates them …

2026-07-31 · generative-ai, student-experience, stem-education, learning-analytics, ai-education

This scoping review analyzed **13 experimental studies** on LLM integration in undergraduate [[cs-education]], examining how intervention design choices shape learning outcomes. The central finding: *…

2026-07-31 · cs-education, generative-ai, llm, scaffolding, instructional-design

Randomized A/B crossover study (N=220) in a junior-level algorithms course comparing solution evaluation/critique tasks against traditional solution generation. Finds that evaluation-centered tasks pr…

2026-07-31 · generative-ai, stem-education, efficacy-study, student-experience

Innovative practice paper examining the integration of technology-enhanced tabletop exercises into cybersecurity curricula. Addresses the gap between professional TTX practice and university adoption,…

2026-07-31 · edtech-platform, stem-education, professional-training, active-learning

Survey of 206 engineering students: AI chatbots provide greatest perceived benefit as relief from competence frustration, smaller benefits for autonomy, weakest for relatedness. Baseline motivational …

2026-07-30 · stem-education, student-experience, affective-computing, personalized-learning, scaffolding

LLMs systematically underestimate the difficulty of misconception-driven items ('The Easy Trap'). While LLM ratings show moderate rank correlation with empirical student difficulty (rho=0.52-0.70), th…

2026-07-30 · llm, formative-assessment, adaptive-learning, feedback-loop, student-experience

Proposes Cognitive Diagnostic Profiling (CDP), a zero-shot framework that dramatically improves LLM-simulated examinee alignment with human test-takers. With CDP, IRT difficulty Spearman correlations …

2026-07-30 · llm, formative-assessment, adaptive-learning, student-experience, benchmark

On 119,034 students across 13 UK national exams, Bernoulli Mixture Models found few distinct skill clusters — overall ability dominates. A simple explainable model achieved 78% accuracy, competitive w…

2026-07-30 · personalized-learning, stem-education, learning-analytics, student-experience, adaptive-learning

Describes rapid development of a Thonny log visualizer using AI-assisted 'vibe coding' to make student programming processes visible to teachers. Piloted in a 160-student introductory programming cour…

2026-07-30 · stem-education, teacher-role, learning-analytics, academic-integrity, edtech-platform

Published in *Computers and Education: Artificial Intelligence*, accepted 27 July 2026. 📄 doi:10.1016/j.caeai.2026.100653…

2026-07-29 · agentic-ai, ai-literacy, educational-theory, generative-ai, intelligent-tutoring

> **AICoFE** (AI-based Collaborative Feedback) is a multi-LLM feedback generation system for higher education that combines independently fine-tuned language models with **teacher-in-the-loop mediatio…

2026-07-29 · ai-ed-evaluation, feedback-loop, student-experience, human-in-the-loop-ai, learning-analytics

> **Collaborative AI Literacy Framework** — SEFI 2025. A systematic review of 9 studies (2015–2023) examining how collaborative learning (CL) approaches can be harnessed to build AI literacy across di…

2026-07-29 · ai-literacy, collaborative-learning, instructional-design, ai-literacy-assessment-misalignment, k-12-ai-education

A **randomized 2×2 full-factorial field experiment** (N = 179 German university students, 22 days of app use, 12-week follow-up) testing two design principles for a **mobile chatbot-based learning jou…

2026-07-29 · self-regulated-learning, generative-ai, student-experience, engagement-metrics, efficacy-study

Brisson, Segarra and Smits present a didactically-driven LLM teacher assistant for a university dimensional modeling (data warehousing) course. Unlike most educational chatbots that delegate pedagogic…

2026-07-28 · llm, intelligent-tutoring, pedagogy, rag, scaffolding

Chen, Sakhnini and Istead run a three-wave longitudinal study in a senior software-requirements course where students could use instructor-provided or self-created cheat sheets in exams. Choices were …

2026-07-28 · assessment, metacognition, self-regulated-learning

> **Affective computing** in education uses physiological and behavioral signals to sense learner emotion and adapt instruction — see [[affective-text-wearable-student-health]], [[multimodal-affective…

2026-07-28 · student-experience, llm, generative-ai, learning-analytics, k-12

> **Prompt engineering** — the practice of designing and refining inputs to large language models to achieve desired outputs. In education, prompt engineering serves dual roles: as a learner skill (st…

2026-07-28 · ai-literacy, generative-ai, scaffolding, llm, student-experience

> **Reinforcement learning** trains AI tutors and agents through reward signals: [[special-r1-rl-special-education]], [[singh-eduqwen-pedagogical-rl-2026]], [[pedagogical-safety-rl]], and [[ai-coachin…

2026-07-28 · llm, pedagogical-safety, intelligent-tutoring, special-education, personalized-learning

This experience report introduces trio-ethnography — structured dialogue between two computing educators with differing teaching philosophies and one undergraduate CS student — as a method for surfaci…

2026-07-27 · generative-ai, stem-education, teacher-role, student-experience, scaffolding

This large-scale observational study tests the "GenAI substitution hypothesis" — the concern that students offload cognitive effort to [[generative-ai]] and earn inflated grades without learning. Usin…

2026-07-24 · generative-ai, efficacy-study, learning-gains, student-experience, llm

As students increasingly use [[llm]]s to draft written responses and program code, this study asks whether LLMs can reliably detect their own generated content across educational task types — programm…

2026-07-24 · ai-detection, academic-integrity, llm, plagiarism-detection

This scoping review synthesizes 90 peer-reviewed [[llm]]-based programming support systems in [[cs-education]] to make explicit how each system bounds, enacts, and controls assistance — decisions the …

2026-07-24 · llm, cs-education, scaffolding, feedback-loop

Generative AI undermines a basic premise of educational assessment: that submitted work reliably evidences the human capacities a credential certifies. This paper proposes *cognitive stewardship*, a f…

2026-07-23 · generative-ai, policy-maker, formative-assessment, llm, assessment-validity

A scenario-based survey (Fall 2024) comparing how computing students at Canadian and South Korean universities judged the ethicality and policy compliance of AI-assisted coding practices. Despite func…

2026-07-23 · generative-ai, student-experience, cs-education, policy-maker

Machine learning courses typically hand students pre-labeled datasets, hiding the subjectivity baked into human annotation and cultivating an overly trusting view of AI data pipelines. This two-univer…

2026-07-23 · ai-literacy, cs-education, generative-ai, engagement-metrics, bias-mitigation

A quasi-experimental, short-term longitudinal study with 126 first-year engineering students comparing two ways of teaching students how to learn with generative AI: an experiential, hands-on session …

2026-07-23 · generative-ai, efficacy-study, student-experience, scaffolding, self-regulated-learning

Tabletop exercises (TTXs) let learner teams rehearse high-stakes workplace tasks such as cybersecurity incident response, but their open-ended, collaborative nature makes [[formative-assessment]] diff…

2026-07-22 · formative-assessment, feedback-loop, learning-analytics, stem-education, student-experience

Bowed string performance depends on fine bodily coordination usually taught through visual demonstration, creating persistent barriers for musicians with blindness and low-vision (BLV). This design st…

2026-07-22 · special-education, equity, professional-training

This survey of design students at the Politecnico di Milano (2025/2026), paired with AI-use journals kept during research assignments, examines how [[generative-ai]] enters the design process. Reporte…

2026-07-22 · generative-ai, student-experience, ai-literacy, academic-integrity, writing-education

Nemo Explain Visualizer (nev) is an interactive visual query tracer and builder for the Datalog reasoner Nemo. Although built for expert users, the authors conducted a qualitative study with 14 partic…

2026-07-22 · stem-education, scaffolding, active-learning

This short paper provides rare descriptive classroom evidence on what happens when students repeatedly use generative-AI feedback across a full semester of writing coursework. Drawing on 2,988 reflect…

2026-07-20 · generative-ai, llm, writing-education, feedback-loop, over-reliance

This quasi-experimental study directly compares **AI-generated feedback** (two LLMs: **GPT-o4-mini** and **DeepSeek R1**) with **expert human-teacher feedback** in a project-based university course (A…

2026-07-19 · generative-ai, feedback-loop, student-experience, learning-gains, formative-assessment

A 3-page **perspective** (opinion/review, not an empirical study) addressing whether AI use erodes human cognition. The authors' answer: **not inherently — but the risk is real and follows the cogniti…

2026-07-19 · cognitive-offloading, over-reliance, generative-ai, metacognition, learning-gains

> **Jennifer M. Krebsbach & Victoria L. Cross (University of California, Davis)** — *Assessment & Evaluation in Higher Education* (Taylor & Francis). Open Access, CC BY 4.0. doi:10.1080/02602938.2026.…

2026-07-19 · generative-ai, academic-integrity, authentic-assessment, over-reliance, ai-literacy

> **Larry Engelhardt (Francis Marion University)** — *arXiv:2607.15518* [physics.ed-ph], submitted 17 Jul 2026. CC BY 4.0. doi:10.48550/arXiv.2607.15518. > **Note on type:** This is a *framework / pos…

2026-07-19 · agentic-ai, ai-literacy, assessment, authentic-assessment, computational-thinking

As generative AI (GenAI) becomes embedded in undergraduate academic writing, *how* students rely on these tools — not merely whether they use them — has emerged as a core question for [[academic-integ…

2026-07-17 · generative-ai, academic-integrity, student-experience, writing-education, over-reliance

Multimodal large language models (MLLMs) are increasingly used to interpret visualizations, yet most evaluations remain chart-centric and offer limited insight into **scientific visualization (SciVis)…

2026-07-17 · llm, generative-ai, stem-education, ai-literacy, benchmark

LEA (Learning Engagement Assistant) is an **agentic AI tutoring system** that couples course-specific retrieval-augmented generation (RAG) with structured [[knowledge-tracing]] / Knowledge Component (…

2026-07-16 · llm, generative-ai, intelligent-tutoring, stem-education, formative-assessment

**Akriti Bagale, Nafisa Mehjabin, Ali Unlu, Aditya Johri, et al. (2026)** - George Mason University; University of Virginia. arXiv preprint. Bagale, A., Mehjabin, N., Unlu, A., Johri, A., et al. (2026…

2026-07-15 · ai-literacy, equity, policy-maker, academic-integrity, ai-governance-education

> **Synthesis:** A comparative content analysis of institutional GenAI policies and computing-course syllabi in U.S. research-intensive universities, revealing a gap between broadly pro-use institutio…

2026-07-15 · generative-ai, policy-maker, ai-literacy, equity, ai-ed-implementation

Across 15 nations, the paper examines how secondary computer-science education embeds AI literacy into general-track subjects (Digital Literacy, ICT, TIC, SNT) rather than specialized tracks, creating…

2026-07-14 · ai-literacy, equity, k-12, policy-maker, faculty-development-genai

Analyzes how students specify intended behavior in natural language to AI code tools (Copilot) across multiple years, deriving a taxonomy of code-generation specifications expressed through comments. …

2026-07-14 · llm, student-experience, stem-education, reshaping-cs-education-genai, ai-literacy

Presents FORAP (Framework for Organizing Reusable and Adaptable Project-Based Learning projects) and a portfolio of 14 adoption-ready PjBL packages for computing education. The framework addresses the…

2026-07-14 · project-based-learning, k-12, active-learning, stem-education, scaffolding

Addresses the lag between LLM integration into K-12/higher education and reliable methods for evaluating pedagogical quality. The authors introduce a knowledge-distillation approach to automate AI-tut…

2026-07-14 · intelligent-tutoring, automated-grading, llm, k-12

Introduces 'design problems' (DPs): concise, scenario-based prompts that require applying knowledge in transfer contexts, generated with LLMs to assess higher-order thinking (HOT) in project-based lea…

2026-07-14 · project-based-learning, generative-ai, formative-assessment, stem-education, scaffolding

A systematic API audit of four LLMs acting as history tutors evaluates 1,800 responses about the 1989 Romanian Revolution, exposing a 'paternalistic filter': models differentially refuse or soften ans…

2026-07-14 · llm, student-experience, equity, bias-mitigation

> Presents Q-Learning Lab, a single-file tool that makes the Bellman update concrete by letting undergraduates inspect how each value is computed and why actions are chosen, through learner-generated …

2026-07-14 · active-learning, reinforcement-learning, stem-education, self-regulated-learning, scaffolding

This study investigates how students conceptualize generative AI (GenAI) and how those mental models shape their academic integration. A student's mental model of GenAI — their beliefs about what it c…

2026-07-14 · student-experience, ai-literacy, generative-ai, metacognition, human-ai-collaboration

> Extends a prior validated protocol for classifying open-ended teaching-evaluation feedback by thematic category and sentiment, introducing a durability and cross-language transfer benchmark. Institu…

2026-07-14 · feedback-loop, automated-grading, teacher-role, formative-assessment, faculty-development-genai

> **Bias mitigation** in educational AI requires auditing models across the pipeline: [[gender-bias-transfer-llm-writing]], [[ai-scoring-language-bias-physics]], [[llm-cultural-relevance-k12]], and [[…

2026-07-14 · bias-mitigation, equity, ethics, ai-literacy, generative-ai

Presents a large-scale descriptive analysis of an AI learning assistant (Syntea) using objective log data from 77,543 higher-education students, characterizing real usage patterns, adoption, and engag…

2026-07-10 · llm, student-experience, learning-analytics, personalized-learning, self-regulated-learning

Introduces a Bloom-aligned framework for measuring 'educational control' in LLMs: the ability to preserve a task's instructional intent while shifting its cognitive demand toward higher-order Bloom le…

2026-07-10 · llm, generative-ai, scaffolding, feedback-loop, self-regulated-learning

Uses epistemic network analysis of multimodal YouTube metadata (transcripts, titles, thumbnails, comments) to show how different creator groups frame ChatGPT use in education, revealing divergent narr…

2026-07-10 · ai-literacy, student-experience, academic-integrity, generative-ai, self-regulated-learning

This paper aims to synthesize empirical research on AI tools used to support English as a second/foreign language (EL2) learners in Arab University classrooms (AUCs) between Jan 1st 2023 and Aug 31st …

2026-07-09 · language-learning, writing-education, ai-literacy, over-reliance, teacher-role

Building upon found examples is a popular way people learn to code, especially in creative coding communities where sharing projects and remixing are common practices. But effectively doing so require…

2026-07-09 · scaffolding, generative-ai, feedback-loop, active-learning, programming-its

Higher education institutions are increasingly expected to ensure that both students and staff develop Generative AI (GenAI) literacies. In response, they are introducing professional development prog…

2026-07-09 · ai-literacy, generative-ai, over-reliance, faculty-development, rag

As AI coding agents take over substantial implementation work, developers increasingly lose the informal, effortful problem-solving through which software engineering expertise historically accumulate…

2026-07-08 · agentic-ai, cs-education, generative-ai, llm, over-reliance

Debugging exercises are usually graded from final code and test outcomes, which hide *how* students reproduced failures, formed hypotheses, inspected evidence, edited code, and verified fixes. The aut…

2026-07-08 · programming-its, learning-analytics, formative-assessment, cs-education, feedback-loop

As generative AI becomes central to software development, CS education is shifting toward prompt-centered workflows where students describe intended behavior in natural language to elicit code. But pr…

2026-07-07 · generative-ai, cs-education, over-reliance, metacognition, ai-literacy

Learning to communicate with code-generating AI is an emerging skill for novice programmers. 'Prompt Problems' — having students solve computational tasks by writing natural-language prompts for code-…

2026-07-07 · ai-literacy, cs-education, generative-ai, programming-its, prompt-engineering

**Manuel Alonso-Carracedo, Ruben Fernandez-Boullon, Pedro Celard, Francisco J. Rodriguez-Martinez, Lorena Otero-Cerdeira (2026)** This paper presents an [[llm]]-based grading system for Linux/bash com…

2026-07-03 · llm, automated-grading, cs-education, formative-assessment, scaffolding

**Mengqian Wu (2026)** Epistemic thinking — understanding how knowledge is constructed and justified — plays a central role in [[ai-literacy]], particularly when students co-program with generative AI…

2026-07-03 · ai-literacy, cs-education, student-ai-interaction, scaffolding, automated-grading

While [[llm]]s now enable rapid generation of learning materials like [[generative-ai]], evaluating the pedagogical quality of these materials remains an open challenge. This paper proposes an automat…

2026-07-03 · ai-generated-content, formative-assessment, learning-analytics, llm, automated-grading

The rapid integration of [[llm]]s into [[intelligent-tutoring]] threatens to reduce mathematical learning to mere answer generation. This paper presents a design framework for AI tutors that act as re…

2026-07-03 · intelligent-tutoring, llm, scaffolding, formative-assessment, automated-grading

> **Manuel Alonso-Carracedo, Ruben Fernandez-Boullon, Pedro Celard, Francisco J. Rodriguez-Martinez, Lorena Otero-Cerdeira** — Universidade de Vigo, submitted 30 Jun 2026…

2026-07-02 · llm, formative-assessment, stem-education, scaffolding, llm-in-education

> **Margaret Ellis, Nikitha Donekal Chandrashekar, Sehrish Basir Nizamani, Mohammed Farghally, Jake O'Brien, Naren Ramakrishnan** — SIGCSE Virtual 2026, submitted 29 Jun 2026…

2026-07-02 · llm, student-experience, academic-integrity, stem-education, llm-in-education

> **Sehrish Basir Nizamani, Zannah Ziew, Saad Nizamani, Khyati Goyal** — ACM SIGCSE Virtual 2026, submitted 29 Jun 2026…

2026-07-02 · llm, student-experience, collaborative-learning, engagement-metrics, llm-in-education

> **Mohammad Abu Nasir Rakib, Sharmin Akter, Eshwara Prasad Sridhar, Somik Biswas, Md Rassel Raihan, Mahmudur Rahman** — submitted 1 Jul 2026…

2026-07-02 · stem-education, personalized-learning, active-learning, blended-learning, llm-in-education

> **Lawrence Obiuwevwi, Krzysztof J. Rechowicz, Jessica M. Johnson, Erika Frydenlund, Vikas Ashok, Sachin Shetty, Sampath Jayarathna** — IEEE IRI 2026, submitted 1 Jul 2026…

2026-07-02 · special-education, equity, adaptive-learning, k-12, llm-in-education

**Tran, Harper & Price (2026)** examine a pressing motivational paradox in contemporary computing education: the ready availability of AI tools that can complete programming assignments undermines stu…

2026-06-30 · academic-integrity, llm, over-reliance, student-experience, ai-assistance-reduces-persistence

Karidi, Amir & Roll (2026) present one of the largest empirical analyses to date of authentic (rather than lab-based) interactions between college students and generative AI tools. By analyzing intera…

2026-06-30 · generative-ai, learning-analytics, llm, student-experience, ai-literacy

Hutchison et al. (2026) develop and validate a method for measuring critical engagement with AI code completion tools in educational settings. Using behavioral signals (time-to-accept, edit distance f…

2026-06-30 · formative-assessment, llm, stem-education, student-experience

Kamali et al. (2026) evaluate a Generative AI Literacy training intervention designed to improve intelligence analysts' ability to distinguish real photographs from AI-generated images. In a controlle…

2026-06-30 · ai-literacy, equity, generative-ai, professional-training, llm

Bernstein, Denny, Leinonen et al. (2026) investigate whether providing students with multiple, diverse LLM-generated explanations of code (rather than a single 'best' explanation) improves comprehensi…

2026-06-30 · feedback-loop, llm, scaffolding, stem-education, student-experience

Hossain (2026) develops a typology of LLM reliance among undergraduate writers at a minority-serving R1 institution, identifying four distinct profiles: strategic scaffolders who use AI for idea gener…

2026-06-30 · ai-literacy, over-reliance, student-experience, writing-education, llm

This study by Tran, Marwan & Price (2026) introduces and evaluates a 45-minute structured lesson on prompt-based programming, a new modality enabled by LLMs where users express computational goals thr…

2026-06-30 · generative-ai, llm, stem-education, teacher-role, ai-literacy

DysLexLens is a low-resource LLM framework designed to analyze how [[special-education|dyslexic learners]] experience AI tools by mining online forum discussions. The framework employs dictionary-driv…

2026-06-29 · special-education, llm, ai-literacy, equity, student-experience

This paper introduces Epi2Diff (Episode to Difficulty), a framework that maps LLM reasoning traces into cognitively grounded episode sequences for predicting human item difficulty in [[assessment|educ…

2026-06-29 · assessment, llm, learning-analytics, student-modeling, benchmark

📄 [PDF](https://arxiv.org/pdf/2606.26729) This study examines the implementation of the Artificial Intelligence Assessment Scale (AIAS), a structured framework for redesigning [[assessment|university…

2026-06-26 · assessment, academic-integrity, generative-ai, teacher-role, policy-maker

📄 [PDF](https://arxiv.org/pdf/2606.26565) This case study reports on a community-based participatory research project that co-designed an [[ai-literacy|AI literacy]] program for 54 adults (48 in-pers…

2026-06-26 · ai-literacy, lifelong-learning, equity, student-experience, edtech-platform

This study examines the [[student-modeling]] validity of **delayed start behavior** — when students begin assignments or practice sessions past a recommended start time — as a predictor of learning-ga…

2026-06-25 · learning-analytics, student-modeling, engagement-metrics, efficacy-study, self-regulated-learning

This large-scale survey of humanities and social sciences (HSS) students in China examines how [[generative-ai]] reshapes academic development across four dimensions: usage patterns, effects on learni…

2026-06-24 · generative-ai, student-experience, llm, ai-literacy, personalized-learning

Akgun and Toker (2026) examine whether learning gains from GenAI-enabled adaptive pretesting persist over a seven-week retention period. Undergraduate participants completed adaptive AI-assisted prete…

2026-06-23 · rct, adaptive-learning, formative-assessment, learning-gains, personalized-learning

Gheisari and Salarian (2026) apply supervised machine learning classification to identify at-risk students before they withdraw from higher education programs. The study evaluates Logistic Regression,…

2026-06-23 · learning-analytics, dropout-reduction, student-modeling, rct, llm

Castillo Ventura et al. (2026) address the gap between instructional design of digital mathematics resources and their pedagogical use in classrooms. Their work-in-progress framework translates learni…

2026-06-23 · teacher-role, k-12, stem-education, scaffolding, ai-literacy

Islam et al. (2026) address a core limitation of generative text-to-video for education: while visually fluent, such systems lack pedagogical content knowledge (PCK). CourseBlueprint provides a struct…

2026-06-23 · llm, generative-ai, personalized-learning, scaffolding

Graf et al. (2026) identify a new challenge in collaborative programming education: AI use is now an invisible yet consequential dimension of collaboration, and partners often misread ability and effo…

2026-06-23 · student-experience, cs-education, collaborative-ai-tutoring, over-reliance, ai-tutoring

Liu et al. (2026) report on a 13-week Test-Driven, AI-Assisted (TDAA) redesign of a Theory of Computation course at HKUST (Guangzhou). The course replaced all lectures with self-directed, AI-assisted …

2026-06-23 · cs-education, llm, active-learning, assessment, automated-grading

Park et al. (2026) explore AI-powered automated feedback for tutors on Ringle, a popular online English tutoring platform in the gig economy. Their research probe analyzed tutors' lessons and provided…

2026-06-23 · feedback-loop, intelligent-tutoring, language-learning, teacher-role

AI-driven interactive patient avatars for psychotherapy training provide accessible, repeatable practice with measurable skill improvement in evidence-based therapy techniques. Toward Accessible Psych…

2026-06-18 · generative-ai, llm, active-learning, feedback-loop, adaptive-virtual-patient-psychotherapy-training

Computing students show inconsistencies between confidence in cybersecurity knowledge and actual safe practices; educational interventions are needed to close the gap. Confident yet Concerned: Inconsi…

2026-06-18 · student-experience, ai-literacy, academic-integrity, engagement-metrics

> Engagement intensity during AI ethics instruction serves as an effective learner-modeling signal for adaptive instruction; prior LLM experience influences engagement patterns.…

2026-06-18 · personalized-learning, adaptive-learning, ai-literacy, engagement-metrics, student-experience

LLM-generated educational questions show varying cognitive depth; models excel at factual recall but struggle with higher-order thinking questions per Bloom's taxonomy. From Memorization to Creation: …

2026-06-18 · llm, generative-ai, automated-grading, assessment, writing-education

MedEasy multi-agent system simulates standardized patients with varying conditions for medical consultation training; outperforms script-based approaches in realism and adaptability. MedEasy: Designin…

2026-06-18 · intelligent-tutoring, generative-ai, active-learning, feedback-loop, adaptive-virtual-patient-psychotherapy-training

Revisits WordStream (2009) as a quantitative encoding for qualitative learning analytics; demonstrates how structured coding can surface cohort-level trends while preserving individual narrative conte…

2026-06-18 · learning-analytics, k-12, qualitative-research, edtech-platform, student-experience

> **Ariyan Hossain, Kazi Kamruzzaman Rabbi, Farig Sadeque, S M Taiabul Haque** (2026). arXiv cs.CL…

2026-06-17 · llm, generative-ai, bias-mitigation, writing-education, student-experience

> **Jaward Sesay, Yue Yu, Siwei Dong, Yemin Shi, Guangyao Chen, Borje F. Karlsson** (2026). arXiv cs.CL…

2026-06-17 · llm, generative-ai, personalized-learning, intelligent-tutoring, pedagogical-llm-training

> **Xinfei Cen, Vincent Aleven, Kenneth R. Koedinger, Conrad Borchers, Paulo F. Carvalho** (2026). EC-TEL 2026…

2026-06-17 · intelligent-tutoring, personalized-learning, efficacy-study, student-experience, self-regulated-learning

> **Farnaz Baksh, Matevz B. Zorec, Feiazie Baksh, Karl Kruusamae** (2026). ICSR + ART 2026, London…

2026-06-17 · k-12, intelligent-tutoring, student-experience, stem-education, human-ai-collaboration

Based on a questionnaire of 100 higher-education engineering students and a critical literature review, examines how students use and perceive LLMs. Students value LLMs for writing support, conceptual…

2026-06-16 · llm, stem-education, student-experience, teacher-role, ai-literacy

Argues that epistemic vigilance — the human evaluation of AI output calibrated to how far a fallible source can be trusted — is the binding constraint on productive augmentation. AI's fluent, confiden…

2026-06-16 · personalized-learning, scaffolding, k-12, hallucination-risk, equity

Evaluates cross-dataset generalization of ML/DL methods and LLMs for automatic Bloom's taxonomy classification of assessment questions across five datasets. Supervised ML/DL models degraded substantia…

2026-06-16 · automated-grading, llm, formative-assessment, teacher-role, learning-analytics

Team-based projects are a cornerstone of engineering and computing courses, but unstructured team formation often leads to poor project outcomes due to misaligned student interests and inadequate skil…

2026-06-16 · intelligent-tutoring, edtech-platform, stem-education, personalized-learning, learning-analytics

Investigates LLM chatbots' performance on 70 MCQs for a university CS lecture on interactive visual data analysis, comparing with student performance. GPT-4o and GPT-5 significantly outperformed small…

2026-06-16 · llm, automated-grading, student-experience, stem-education, learning-analytics

> Investigates ML models to predict exam outcomes from physiological data (electrodermal activity, heart rate, skin temperature) collected during exams. Evaluates logistic regression, random forest, S…

2026-06-16 · learning-analytics, edtech-platform, engagement-metrics, student-experience, rag

> An interview study with 19 computing students through a functionalist perspective of shame and guilt. Findings show these emotions regulate when and how students make their AI use visible, engaging …

2026-06-16 · student-experience, academic-integrity, over-reliance, hallucination-risk, learning-analytics

As [[generative-ai]] disrupts [[higher-ed]], institutions increasingly require students to declare AI use. However, generic binary declarations (e.g., "I used GenAI") fail to capture the nuanced appli…

2026-06-12 · generative-ai, academic-integrity, policy-maker, ai-literacy, genai-policy-prompting-rct

**Li & Zheng (2026)**. Li & Zheng argue that the four dominant learning theories — behaviorism, cognitivism, constructivism, and connectivism — show significant conceptual limitations as [[generative-…

2026-06-12 · generative-ai, llm, personalized-learning, scaffolding, self-regulated-learning

Bischof et al. investigate how students' awareness of [[generative-ai]] regulations relates to their perceived compliance and actual usage behavior in [[higher-ed]]. While previous research mainly exa…

2026-06-12 · generative-ai, student-experience, policy-maker, regulation, academic-integrity

> **Shravika Mittal, Su Lin Blodgett, Q. Vera Liao**…

2026-06-11 · generative-ai, llm, over-reliance, student-experience, metacognition

**Angela Chen, Siwei Jin, Catherine Bao, Canwen Wang, Robert E. Kraut, Tongshuang Wu, Haiyi Zhu** — cs.CY, cs.HC The Adaptive Virtual Patient (AVP) is an LLM-driven simulated patient for psychotherapy…

2026-06-10 · professional-training, llm, generative-ai, intelligent-tutoring, student-experience

**Misan Paul Etchie, Taiwo Olutosin** — cs.CY, cs.AI, cs.HC This paper proposes an AI-integrated LMS designed specifically for middle school instruction, addressing the gap between current LMS platfor…

2026-06-10 · k-12, adaptive-learning, personalized-learning, formative-assessment, intelligent-tutoring

**Yuchen Liu, Roberto Martinez-Maldonado, Riordan Alfredo, Paola Mejia-Domenzain, Dwi Rahayu, Sadia Nawaz** — AIED 2026 — cs.HC, cs.AI This paper presents an AI-based speech processing approach to ana…

2026-06-10 · active-learning, ai-education, learning-analytics, teacher-role, generative-ai

**Oleksandra Poquet, Mani Shankar Nanduri, Maria Ximena Salinas Loyer, Matthias Stadler, Michael Sailer, Jelena Jovanovic** — Accepted at EC-TEL 2026 — cs.HC, cs.ET This study compares two approaches …

2026-06-10 · writing-education, llm, student-experience, ai-literacy, generative-ai

**Jiayi Zhang, Ryan S. Baker, Debshila Basu Mallick, Cristina Heffernan, Neil Heffernan** — cs.HC This paper replicates and extends prior work on the cold-start problem in knowledge tracing — the chal…

2026-06-10 · knowledge-tracing, learning-analytics, student-modeling, benchmark, llm

**Jingzhe Lin, Hengbin Yu, Yongdan Zeng, Fangwei Zhong** — ICML 2026 — cs.MA, cs.CY EduMirror introduces a multi-agent simulator for studying educational social dynamics, addressing the dilemma that o…

2026-06-10 · intelligent-tutoring, student-experience, llm, scaffolding, generative-ai

**Yifan Liu, Jaime Arguello, Orland Hoeber, Chang Liu et al.** — cs.IR, cs.AI, cs.HC This report summarizes the CHIIR 2026 Workshop on Generative AI and Academic Search (GAI&AS), which examined how Ge…

2026-06-10 · generative-ai, llm, ai-literacy, policy-maker, student-experience

**Hartwig Grabowski, Michael Canz** — cs.AI, cs.CV, cs.CY This paper identifies the didactic narrowing caused by fully digital e-assessment (overuse of closed question formats) and proposes a hybrid a…

2026-06-10 · automated-grading, assessment, generative-ai, formative-assessment, llm

This paper introduces a pipeline that maps student questions directed at a conversational AI teaching assistant to curriculum topics using a few-shot text classifier, grounded in a GPT-4-extracted pre…

2026-06-10 · knowledge-tracing, llm, student-modeling, learning-analytics, generative-ai

> This paper develops a VR-based immersive learning environment using Photon Fusion that allows teachers and students to be present in the same virtual space regardless of physical locations. The syst…

2026-06-10 · edtech-platform, active-learning, student-experience, engagement-metrics, generative-ai

**Yi-Chieh Lee, Nattapat Boonprakong, Yugin Tan, Harold Soh et al.** — Workshop report from NUS-Google Workshops — cs.CY This white paper synthesizes findings from two international NUS-Google Worksho…

2026-06-10 · cs-education, generative-ai, curriculum-design, llm, student-experience

**Yibo Meng, Ruiqi Chen, Zhiming Liu, Xiaolan Ding** — Accepted at MobileHCI 2026 — cs.HC TibetCPR is a low-cost, self-guided CPR training system that pairs depth-driven electrotactile feedback with r…

2026-06-10 · professional-training, llm, formative-assessment, student-experience, edtech-platform

Reports on cross-boundary Community-Based Learning where undergraduate students develop AI-enabled solutions for cultural heritage preservation and sustainable development. The paper argues that AIED …

2026-06-09 · ai-literacy, equity, student-experience, teacher-role, intelligent-tutoring

Introduces **FOXGLOVE**, a dataset of 696 feedback comments by trained writing instructors on 69 twelfth-grade argumentative essays, paired with 1,644 comments from four frontier LLMs — totaling 2,340…

2026-06-09 · llm, writing-education, formative-assessment, feedback-loop, k-12

Investigates how instructional guidance shapes student-AI interaction in [[higher-ed|construction engineering education]]. Introduces a **five-step prompting framework** grounded in Generative Learnin…

2026-06-09 · llm, scaffolding, active-learning, personalized-learning, feedback-loop

Presents a **large-scale classroom study** (N=215 students, 6,693 submissions across 17 labs) deploying AI-generated feedback through a randomized protocol in an introductory Python programming course…

2026-06-09 · llm, formative-assessment, feedback-loop, stem-education, automated-grading

Addresses a critical tension in [[stem-education|CS education]]: the widespread adoption of generative AI makes it impossible to distinguish authentic student effort from AI code synthesis by evaluati…

2026-06-09 · edtech-platform, academic-integrity, stem-education, formative-assessment, scaffolding

This field experiment shows that AI-generated feedback drafts can measurably increase the rate and length of feedback that teaching assistants actually deliver to students, without sacrificing perceiv…

2026-06-04 · automated-grading, feedback-loop, llm, teacher-role, rct

This large-scale K-12 deployment provides empirical evidence that teacher-authored prompts can reliably shape the cognitive quality of student-AI dialogue at classroom scale. The TASD system lets teac…

2026-06-04 · k-12, student-ai-interaction, teacher-role, scaffolding, generative-ai

Proposes a five-stage developmental continuum (Not Engaged, Uncritical Use, Informed Use, Critical Evaluation, Improvement) for AI literacy at NC State; the continuum doubles as a diagnostic tool for …

2026-06-03 · ai-literacy, curriculum-design, ethics, instructional-design, personalized-learning

> **Synthesis:** AI literacy-related domains and AI-TPACK readiness among preservice mathematics teachers: A factor-informed structural equation modelling study…

2026-06-03 · ai-literacy, stem-education, faculty-development, math-education

> **Synthesis:** Generative AI (GenAI) as a mindtool that supports generative learning (GL)…

2026-06-03 · educational-theory, generative-ai, instructional-design, scaffolding

> **Synthesis:** GenAI as a runaway object in higher education: A socio-cultural view on AI-influenced academic practice in mathematics…

2026-06-03 · generative-ai, stem-education, faculty-development, educational-theory, math-education

> **Synthesis:** Human-AI collaboration in higher education: Exploring the impact of technology expectations and distrust…

2026-06-03 · human-in-the-loop, generative-ai, student-experience

> **Synthesis:** Students' multimodal prompting practices as epistemic work in AI literacy development…

2026-06-03 · ai-literacy, prompt-engineering, generative-ai, multimodal

> **Synthesis:** Effects of an AI-supported inquiry model on AI literacy and authentic performance: A quasi-experimental study with preservice teachers…

2026-06-03 · ai-literacy, faculty-development, generative-ai, efficacy-study

> **Synthesis:** Same AI, different pathways: Unpacking mechanisms of AI-mediated learning across discipline-institution contexts…

2026-06-03 · ai-literacy, cognitive-offloading, generative-ai, prompt-engineering

Formalizes Agentic Software Engineering (ASE) as a distinct discipline. Proposes a 21-module curriculum focused on the "evolution of intent" and practitioner discipline required to manage agents rathe…

2026-06-02 · agentic-ai, ai-literacy, curriculum-design, software-engineering, prompt-engineering

> Experimental study comparing Guided vs. Unrestricted LLM access. Explicit training in reasoning-focused scaffolding (stepwise hints, verification) led to significantly better independent performance…

2026-06-02 · intelligent-tutoring, scaffolding, metacognition, prompt-engineering, agentic-workflows

> Identifies interaction signatures of LLM literacy using Epistemic Network Analysis (ENA) on logs from 162 students. High-literacy students exhibit iterative, strategic refinement and dense cognitive…

2026-06-02 · ai-literacy, learning-analytics, prompt-engineering, writing-education, scaffolding

> **Curriculum Design** — the process of planning and structuring what is taught across courses, programs, and institutions, including learning objectives, content sequencing, assessment strategies, a…

2026-06-02 · curriculum-design, instructional-design, ai-literacy, stem-education, generative-ai

> **Authors:** Junsoo Park, Youssef Medhat, Htet Phyo Wai, Ploy Thajchayapong, Ashok K. Goel (2026) — Georgia Tech…

2026-06-01 · learning-analytics, teacher-role, student-experience, feedback-loop, ai-literacy

Artificial intelligence assistants deployed in online learning environments create new opportunities to collect large volumes of learner interaction data and generate insights to improve student outco…

2026-05-29 · learning-analytics, edtech-platform, personalized-learning, feedback-loop, student-experience

Generative AI challenges academic integrity not only by enabling students to delegate substantial portions of their academic work, but also by blurring the ethical boundaries by which students disting…

2026-05-29 · academic-integrity, llm, student-experience, writing-education, ai-literacy

> **AI-ed evaluation** — the body of methods, benchmarks, and criteria used to assess whether AI education tools (LLM-based tutors, automated graders, feedback systems, agents) actually work — not jus…

2026-05-29 · llm, assessment, benchmark, formative-assessment, teacher-role

A 2026 cross-sectional survey (n=72) by Gibson, Azukas, and Knezek examined how higher education practitioners think about and use AI in teaching, grounded in the **DOT Framework** — a synthesis of [[…

2026-05-29 · ai-education, ai-literacy, design-thinking, dot-framework, human-in-the-loop

Technologies and methods for detecting AI-generated content in academic submissions, including classifier-based approaches, watermarking, and stylistic analysis. The effectiveness and reliability of t…

2026-05-29 · academic-integrity, ai-detection, generative-ai, student-experience, ai-literacy

**Agentic Literacy Debt** names a critical gap in the [[ai-literacy]] landscape that has become urgent with the rise of autonomous AI agents. Existing AI literacy frameworks assume humans evaluate AI …

2026-05-28 · agentic-ai, ai-literacy, equity, generative-ai, k-12

**AI-Assisted Writing Transforms Research Teams** challenges the longstanding "Big Science" trend toward ever-larger teams, showing that AI writing tools enable smaller, younger research teams to prod…

2026-05-28 · generative-ai, writing-education, faculty-development, automated-grading, llm

**Catching the Correct Answer Trap** — accepted at AIED 2026 — exposes a critical blind spot in [[intelligent-tutoring]] systems: they systematically fail to detect misconceptions when students arrive…

2026-05-28 · intelligent-tutoring, automated-grading, formative-assessment, llm, scaffolding

**Ethical AI Use in Higher Education: A Coordination Game Framework** provides a formal mechanism-level account of why policy statements alone fail to change student AI-use behavior. Reframing student…

2026-05-28 · academic-integrity, generative-ai, policy-maker, regulation, automated-grading

**KT4EQG: Personalized Exercise Question Generation via Knowledge Tracing** bridges two key AI-in-education paradigms: [[personalized-learning]] through question generation and [[learning-analytics]] …

2026-05-28 · adaptive-learning, automated-grading, intelligent-tutoring, learning-analytics, llm

**LLM-Assisted Sentiment Analysis for Mixed-Methods Education Research** demonstrates how LLMs can serve as scalable qualitative research assistants, enabling researchers to investigate multiple demog…

2026-05-28 · llm, edtech-platform, learning-analytics, student-experience, formative-assessment

**Post-COVID ICT Career Aspirations** uses PISA 2018 and 2022 country-level data to investigate whether students entering the generative AI era have adequate educational foundations. Using a mixed-met…

2026-05-28 · k-12, ai-literacy, stem-education, equity, teacher-ai-competency

**REC-CBM: Rubric-Aware Error-Correction Concept Bottleneck Models** advances the [[automated-grading]] frontier by solving a fundamental trust problem: even accurate AI graders are unusable if educat…

2026-05-28 · automated-grading, llm, formative-assessment, scaffolding, efficacy-study

This paper argues that [[generative-ai]] systems in [[higher-ed]] are not epistemically neutral — they actively marginalize non-hegemonic ways of knowing. Drawing on educational sciences, critical tec…

2026-05-27 · generative-ai, special-education, equity, bias-mitigation, llm

This is the first empirical study of what happens when AI agents are embedded **persistently** in a real academic research environment — with durable memory, local files, external tools, scheduled rou…

2026-05-27 · llm, generative-ai, agentic-ai, faculty-development, learning-analytics

SlidesQAQA is a Flask-based system that extracts text and rendered images from PDF lecture slides and processes them through a four-stage [[llm]] pipeline: **window planning** (segment extraction), **…

2026-05-27 · prompt-engineering, generative-ai, llm, scaffolding, formative-assessment

This paper presents a fine-grained taxonomy categorizing novice programmers' difficulties with reading and understanding control flow constructs — specifically conditionals (selection) and loops (iter…

2026-05-27 · cs-education, stem-education, student-experience, benchmark, llm

This ICML 2026 position paper argues that adopting AI in organizational practice does not automatically yield productivity gains — human and environmental factors critically moderate the relationship.…

2026-05-26 · generative-ai, efficacy-study, teacher-role, policy-maker, persistent-ai-agents-academic-research

📄 DOI: 10.32473/flairs.39.1.141554 Codify (also called AI Tutor) is an [[intelligent-tutoring]] system that leverages [[llm|LLMs]], competency tracking, and adaptive assessment to provide Socratic, d…

2026-05-26 · intelligent-tutoring, llm, stem-education, adaptive-learning, self-regulated-learning

This paper proposes a principled framework grounded in Evidence-Centered Design (ECD) that treats [[generative-ai]] as a design variable within STEM assessment arguments rather than an external threat…

2026-05-26 · stem-education, generative-ai, automated-grading, policy-maker, genai-minoritized-knowledges-disability

This comparative user study (n=48) examines how the temporal and visual dimensions of AI collaboration shape the experience of [[writing-education|writing tasks]], revealing that humanlike design feat…

2026-05-26 · generative-ai, writing-education, student-experience, llm

This grounded theory study analyzed open-ended responses from 1,054 university students across three Philippine universities to define **AI fatigue** as a distinct construct — separate from technostre…

2026-05-25 · student-experience, over-reliance, ai-literacy, affective-computing, self-regulated-learning

MindCopilot introduces a formal framework for evaluating human-LLM co-writing that shifts from output-only metrics (BLEU, ROUGE) to **interaction-aware evaluation**. The paper models co-writing as a *…

2026-05-25 · feedback-loop, human-in-the-loop, llm, writing-education, human-in-the-loop-ai

This landmark study provides the **first large-scale behavioral and outcome evidence** that [[generative-ai]] has fundamentally altered how students study and what they retain. Using a ten-year panel …

2026-05-23 · generative-ai, over-reliance, stem-education, k-12, learning-gains

This paper presents a rigorous empirical comparison between [[llm|LLM]]-based and semantic similarity methods for [[automated-grading|automated assessment]] of student self-explanations in programming…

2026-05-23 · llm, automated-grading, feedback-loop, stem-education, scaffolding

Serious games are widely used for learning and training across domains such as healthcare, defense, and education. This chapter examines how contemporary AI approaches may support real-time instructio…

2026-05-22 · intelligent-tutoring, generative-ai, adaptive-learning, edtech-platform, professional-training

Automated grading systems have enabled scalable assessment for many response types, but handwritten mathematics remains a barrier due to the complexity of multi-step solutions. Vision-capable large la…

2026-05-22 · automated-grading, llm, stem-education, efficacy-study, multimodal

📄 [Full article](https://edtechinsiders.substack.com/p/how-ai-is-changing-teaching-workflows) AI saves teachers roughly 30% of lesson preparation time with no measurable quality loss — but whether th…

2026-05-21 · generative-ai, teacher-role, faculty-development, efficacy-study, rct

Noviello, Birillo, and Migut (2026) present ANVIL, an end-to-end multimodal generation pipeline for educational content — one of the first systems to automate the full journey from concept definition …

2026-05-21 · generative-ai, llm, instructional-design, cs-education, teacher-role

Oral code reviews paired with a flipped classroom represent a pragmatic harm-reduction approach to generative AI in CS education. Rather than banning LLMs, Fowles et al. (2026) designed weekly formati…

2026-05-21 · generative-ai, cs-education, over-reliance, academic-integrity, formative-assessment

Kapsalis (2026) presents one of the first empirical studies of generative AI integration in architectural design education, using a locally executed, discipline-specific tool within a mixed-methods fo…

2026-05-21 · generative-ai, student-experience, creative-thinking, ai-literacy, personalized-learning

This paper presents a striking longitudinal finding: as AI becomes a routine educational tool, students systematically revalue **human intelligence (HI) over artificial intelligence (AI)**. Drawing on…

2026-05-20 · ai-literacy, student-experience, stem-education, over-reliance, efficacy-study

📄 arXiv · [PDF](https://arxiv.org/pdf/2605.18140) A mixed-methods survey of 90 STEM faculty in the RCSA Cottrell community identified a coherent latent construct — **AI pedagogical orientation** — th…

2026-05-19 · faculty-development, stem-education, ai-literacy, institutional-change, pedagogy

Agentic analytics using AI-produced concept-map artifacts as shared human-AI representations improves collaboration quality analysis and AI response grounding over transcript-only baselines. CLARA int…

2026-05-19 · learning-analytics, generative-ai, llm, edtech-platform, collaborative-learning

Closed-loop ITS with multimodal affective scoring (facial, vocal, textual, oculomotor) produced significant presentation skill gains (Cohen's d = 0.39-0.90, N=204) over 30 days. This paper presents on…

2026-05-19 · intelligent-tutoring, affective-computing, multimodal, professional-training, efficacy-study

LLM-generated feedback produces faster time-to-solution than compiler-only baseline; counterintuitively, less guided feedback showed stronger effects than more guided variants. This study provides emp…

2026-05-19 · llm, generative-ai, feedback-loop, scaffolding, efficacy-study

In a year-long study of 458 university students (3,610 person-waves) using Oura rings for passive physiological sensing, researchers examined whether **ultra-brief affective text prompts** (median 3-w…

2026-05-17 · affective-computing, student-experience, learning-analytics, affective-tutoring, llm

Codify (also referred to as "AI Tutor") is a web-based [[intelligent-tutoring]] platform for programming education that integrates conversational AI, adaptive assessment, and learning analytics. It le…

2026-05-17 · generative-ai, intelligent-tutoring, llm, programming-its, scaffolding

This dissertation presents an integrated AI framework for campus well-being spanning prevention (improving feedback collection) and intervention (advancing mental health detection). It represents an i…

2026-05-16 · llm, generative-ai, student-experience, affective-computing, edtech-platform

> Li, Cui & Hagedorn (2026) PRISMA-review **67 empirical studies (2022–2025)** on ChatGPT and university students' [[critical-thinking|critical]] and creative thinking: effects are contingent on **ped…

2026-05-16 · ai-literacy, boundary-object, generative-ai, cognitive-offloading, creative-thinking

This paper presents a systematic two-stage methodology for surfacing student misconceptions at scale. Drawing on 3,802 medical student enrollments across 5 biomedical science courses (9 course periods…

2026-05-16 · llm, generative-ai, formative-assessment, learning-analytics, personalized-learning

KITE (Knowledge-Informed Tutoring Engine) introduces a [[intelligent-tutoring]] architecture that grounds its responses in course materials through a multimodal [[scaffolding|RAG pipeline]]. Unlike ge…

2026-05-16 · intelligent-tutoring, llm, generative-ai, scaffolding, formative-assessment

> Understanding How International Students in the U.S. Are Using Conversational AI to Support Cross-Cultural Adaptation **Nourian et al. (2026)** — Multiple institutions. arXiv cs.HC.…

2026-05-15 · student-experience, generative-ai, llm, equity, culturally-relevant-pedagogy

> LaTA: A Drop-in, FERPA-Compliant Local-LLM Autograder for Upper-Division STEM Coursework **Rodríguez (2026)** — Oregon State University. Submitted to Computers & Education.…

2026-05-15 · automated-grading, stem-education, llm, generative-ai, efficacy-study

> LearnMate^2: Design and Evaluation of an LLM-powered Personalized and Adaptive Support System for Online Learning **Wang, Lee, & Mutlu (2026)** — University of Wisconsin-Madison. CHI-related publica…

2026-05-15 · personalized-learning, adaptive-learning, llm, generative-ai, scaffolding

> Characterizing Students' LLM Usage Behaviors and Their Association with Learning in Critical Thinking Tasks **Park, Orozco Vasquez, & Conati (2026)** — University of British Columbia. Accepted at ED…

2026-05-15 · student-experience, llm, generative-ai, learning-analytics, ai-literacy

> Taklif.AI: LLM-Powered Platform for Interest-Based Personalized College Assignments **Kurdya et al. (2026)** — Multiple institutions. arXiv cs.AI.…

2026-05-15 · generative-ai, llm, personalized-learning, edtech-platform, culturally-relevant-pedagogy

This study evaluated five generative AI tools for creating instructional slides from instructor-authored course notes: NotebookLM, Claude, M365 Copilot, Cursor, and Claude Code. Educators assessed sli…

2026-05-14 · generative-ai, student-experience, faculty-development, ai-literacy, faculty-development-genai

AICoFe orchestrates a multi-LLM pipeline using GPT-4.1-mini, Gemini 2.5 Flash, and Llama 3.1 to synthesize quantitative rubric data and qualitative observations into actionable feedback for higher edu…

2026-05-14 · automated-grading, feedback-loop, llm, learning-analytics, human-in-the-loop-ai

This *Nature Reviews Psychology* piece draws a critical distinction that has been under-theorized in AIED research: The authors argue that generative AI easily boosts performance but often bypasses th…

2026-05-14 · generative-ai, metacognition, over-reliance, scaffolding, self-regulated-learning

> Perl-Nussbaum & Finkelstein (2026) adapt institutional-change models to generative AI as an **arrival technology** — one that entered classrooms before pedagogical evidence existed — yielding a six-…

2026-05-14 · ai-education, institutional-change, faculty-development, pedagogy, stem-education

A study of 260 Filipino teachers examined how institutional support, teacher confidence, and teacher concerns influence AI adoption attitudes: This paper provides empirical clarity for [[teacher-role]…

2026-05-14 · teacher-role, faculty-development, k-12, ai-literacy, teacher-ai-competency

> **Yu, Lu, Si et al. (77 authors, 2026)** — Shanghai Jiao Tong University, SII, GAIR. Open-source benchmark.…

2026-05-11 · benchmark, llm, generative-ai, student-experience, pedagogical-llm-training

> **Authors:** Youjie Chen, Xixi Shi, Xinyu Liu, Shuaiguo Wang, Tracy Xiao Liu, Dragan Gašević **Year:** 2026 **Venue:** arXiv (cs.CY) > Large-scale analysis (N=11,406 students, 200 classes, 10 instit…

2026-05-11 · generative-ai, intelligent-tutoring, student-experience, engagement-metrics, learning-analytics

Most AI-based educational tools adopt a one-on-one tutoring paradigm, pairing a single LLM with a single learner. Yet decades of learning science — from Vygotsky's Zone of Proximal Development to Band…

2026-05-11 · llm, intelligent-tutoring, scaffolding, student-experience, collaborative-ai-tutoring

> **Authors:** Isabel Molnar, Peiyu Li, Si Chen, Sugana Chawla, James Lang, Ronald Metoyer, Ting Hua, Nitesh V. Chawla **Year:** 2026 **Venue:** arXiv (cs.AI) > **Year:** 2026 > **Venue:** arXiv (cs.A…

2026-05-11 · llm, teacher-role, scaffolding, faculty-development, teacher-ai-competency

> Vendrell & Johnston (2026) propose a design-oriented framework for LLM use in higher education that strengthens rather than displaces [[critical-thinking]], countering [[cognitive-offloading]] and m…

2026-05-10 · generative-ai, scaffolding, self-regulated-learning, faculty-development-genai, metacognition

> A Science editorial by University of Illinois Chicago Chancellor Marie Lynn Miranda (April 2026) arguing that higher education has a narrow window to shape AI's distribution equitably. Proposes a th…

2026-05-09 · equity, ai-literacy, policy-maker, regulation, equity-in-ai-education

> A large-scale survey (n=1,960) by EDUCAUSE (2026) examining how AI is reshaping work in higher education institutions — attitudes, adoption patterns, institutional strategies, risks, and opportuniti…

2026-05-09 · faculty-development, administrator, market-analysis, policy-maker, faculty-development-genai

> A framework for evaluating AI tutoring systems that extends beyond pedagogical quality of feedback to measure what students actually *do* with that feedback — whether they act on it and whether they…

2026-05-09 · intelligent-tutoring, efficacy-study, benchmark, engagement-metrics, llm

> A web-based system that uses LLMs and Learning Analytics dashboards to provide automated, rubric-based feedback on student presentation slides. Developed by Becerra et al. (2026), AISSA addresses th…

2026-05-09 · automated-grading, learning-analytics, formative-assessment, llm, human-in-the-loop-ai

> A pedagogical model where human mentors and AI tools jointly support student learning in project-based contexts. Human mentors provide conceptual guidance, debugging, and problem formulation support…

2026-05-09 · stem-education, k-12, active-learning, scaffolding, personalized-learning

> An instructional approach that deliberately leverages AI errors, hallucinations, and limitations as teaching tools to foster higher-order thinking. Rather than viewing AI mistakes as failures to be …

2026-05-09 · ai-literacy, metacognition, stem-education, active-learning, socratic-ai-dialogue

> A web-based writing environment that inverts the AI-tutoring paradigm: rather than generating improved text for students, Prober.ai constrains an LLM to ask only targeted inquiry-based questions abo…

2026-05-09 · writing-education, scaffolding, ai-literacy, formative-assessment, metacognition

> Stub — pending source ingestion. AI adoption, strategy, and governance from the institutional administrator and leadership perspective.…

2026-05-09 · administrator, policy-maker, generative-ai, llm, student-experience

> Stub — pending source ingestion. Lifelong learning and AI support for continuous education beyond formal schooling.…

2026-05-09 · lifelong-learning, personalized-learning, professional-training, llm, intelligent-tutoring

> AI coding assistants proliferate rapidly, but pedagogical frameworks for learning them remain scarce — a paradox at the heart of agentic coding education. > Using agentic AI workflows (Claude Code) …

2026-05-08 · agentic-ai, generative-ai, scaffolding, stem-education, metacognition

>Highlights critical misalignment between self-reported AI literacy and actual performance. Teachers overestimate their AI skills by 40% on average. Performance-based assessments correlate better (r=0…

2026-05-08 · ai-literacy, assessment, assessment-validity, k-12, self-regulated-learning

> **EduGage** (Leng et al., 2026) addresses a core challenge: in online/video-based learning, **learners must self-regulate** their engagement with instructional materials. > Sensor-based momentary as…

2026-05-08 · adaptive-learning, learning-analytics, affective-computing, feedback-loop, self-regulated-learning

> Explores LLMs to support K-12 teachers in designing culturally relevant pedagogy. An exploratory pilot with four K-12 teachers found the CulturAIEd tool enhanced teachers' confidence in identifying …

2026-05-08 · culturally-sustaining-pedagogy, k-12, pedagogy, equity, faculty-development

> **SCRIPT** (Deriyeva, Dannath, Paassen, 2026) implements an intelligent tutoring system for **Python programming** in a German university context, filling a gap in prior ITS which rarely supported P…

2026-05-08 · intelligent-tutoring, stem-education, adaptive-learning, formative-assessment, student-misconceptions-conditionals-loops-taxonomy

> **From Prototype to Classroom** (Elhaimeur & Chrisochoides, 2026) describes a tutoring system for quantum computing that bridges the gap between dense mathematical formalism and limited qualified in…

2026-05-08 · adaptive-learning, intelligent-tutoring, knowledge-tracing, stem-education, adaptive-learning-systems

> **Synthesis:** Rather than replacing universities, generative AI **redefines their essential functions** — this paper proposes a four-level framework of institutional AI adoption and argues that the…

2026-05-08 · teacher-role, administrator, policy-maker, regulation, teacher-ai-competency

Automated question generation leverages NLP and LLMs to create educational assessments at scale. Wei & Stamper (2025) introduced the **generate-then-validate** paradigm, reducing hallucination by 62% …

2026-05-08 · nlp-education, assessment, llm, stem-education, automated-grading

Culturally Relevant Pedagogy (CRP), introduced by Gloria Ladson-Billings (1995), centers marginalized students' cultural references in curriculum design. Wang et al. (2025) demonstrate that **LLMs can…

2026-05-08 · equity, curriculum-design, culturally-sustaining-pedagogy, k-12, ai-literacy

Equity in AI Education addresses systemic disparities in access to, representation within, and benefits from AI educational tools. Three critical dimensions emerge: Wang et al. (2025) found that **78%…

2026-05-08 · accessible-learning, culturally-sustaining-pedagogy, equity, ai-literacy, k-12

K-12 AI Education encompasses the integration of artificial intelligence literacy, tools, and pedagogical approaches into primary and secondary education. Recent research reveals three critical pillar…

2026-05-08 · ai-literacy, curriculum-design, equity, k-12, faculty-development

Teacher AI competency encompasses the knowledge, skills, and dispositions required for effective AI integration in educational contexts. Emerging frameworks identify three competency dimensions: Zhang…

2026-05-08 · ai-literacy, faculty-development, k-12, generative-ai, student-experience

> Peer feedback develops critical reflection and evaluative judgment, yet: > Student peer feedback is often superficial or inconsistent. **AICoFe** (AI-based Collaborative Feedback) uses a multi-LLM p…

2026-05-07 · edtech-platform, feedback-loop, formative-assessment, teacher-role, learning-analytics

> Zerkouk, Mihoubi & Chikhaoui (2025) systematically analyzed qualified studies from 2010–2025 across: > A comprehensive systematic review of AI-based Intelligent Tutoring Systems (2010–2025) reveals …

2026-05-07 · intelligent-tutoring, benchmark, efficacy-study, k-12, pedagogical-llm-training

> Conventional LLM safety benchmarks focus on toxic outputs, jailbreaks, and bias. In education, the primary risks are quieter: > "Solving problems correctly and avoiding toxic language does not make …

2026-05-07 · pedagogical-safety, intelligent-tutoring, adaptive-learning, k-12, llm

> Wiggins (1990) proposed AA as a counterbalance to standardised tests: direct examination of "student performance on worthy intellectual tasks." > Authentic assessment (AA) has evolved from workplace…

2026-05-07 · ai-ed-evaluation, ai-education, assessment, formative-assessment, metacognition

> Automatic Short Answer Grading (ASAG) is never perfect. Upper bounds on accuracy arise from: > Zero-shot LLMs perform strongly on ASAG without task-specific fine-tuning, but **model-based confidence…

2026-05-07 · automated-grading, llm, formative-assessment, feedback-loop, learning-analytics

> ProPACT constructs a real-time model of pair collaboration using three signals: > Most adaptive learning systems are individual-centric and reactive. **ProPACT** treats **collaboration itself as the…

2026-05-07 · intelligent-tutoring, adaptive-learning, scaffolding, formative-assessment, learning-analytics

> Three system properties enable the fallacy via two cognitive mediators: > The LLM fallacy is a **cognitive attribution error** in which users misinterpret LLM-assisted outputs as evidence of their o…

2026-05-07 · metacognition, over-reliance, llm, k-12, academic-integrity

> Ostrowska, Kukla & Majstrak (2026) present an AI tutoring system **integrated into the Moodle LMS** designed to scaffold students from surface-level fact recall to deep conceptual understanding thro…

2026-05-07 · intelligent-tutoring, edtech-platform, llm, scaffolding, adaptive-learning-systems

> When LLMs process STEM problems that require interpreting diagrams, graphs, or schematics alongside text, their accuracy degrades substantially. This effect is: > General-purpose LLMs achieve near-c…

2026-05-07 · llm, intelligent-tutoring, stem-education, k-12, equity

> The guide adopts a middle way between "techno-fixing" and rejecting AI as an existential threat. It argues that: > A comprehensive educator's guide to integrating Generative AI into multimodal teach…

2026-05-07 · ai-education, generative-ai, multimodal, active-learning, scaffolding

> The framework rests on three interconnected anchors that must be addressed *before* selecting tools: > Rejecting the binary promise-vs-peril discourse and the rush to immediate implementation, Finke…

2026-05-07 · ai-education, pedagogy, scaffolding, policy-maker, active-learning

> Integrating emotional awareness into AI tutoring systems can yield measurable pedagogical gains, but the same affective sophistication risks amplifying harms if learner agency is eroded by empatheti…

2026-05-07 · affective-computing, intelligent-tutoring, adaptive-learning, scaffolding, k-12

> **AI literacy** — the knowledge, skills, and critical dispositions needed to understand, evaluate, and effectively use AI technologies in educational contexts. AI literacy spans foundational underst…

2026-05-07 · ai-literacy, k-12, generative-ai, llm, ai-education

Assessment designed to inform ongoing instruction and learning, as opposed to summative evaluation. AI systems can generate, validate, and adapt formative assessment items at scale, though quality var…

2026-05-07 · agentic-ai, ai-ed-evaluation, ai-education, assessment, pedagogical-safety

Educational AI systems that strategically interleave automated generation with human expert judgment, preserving pedagogical quality while scaling production. Two recent implementations illustrate dis…

2026-05-07 · human-in-the-loop, assessment, pedagogical-safety, ai-education, llm

> Metacognition — thinking about one's own thinking — is both a target of AI education research (can AI tools develop students' metacognitive skills?) and a risk factor (AI completing tasks may suppre…

2026-05-07 · metacognition, self-regulated-learning, formative-assessment, k-12, scaffolding

> Domain-specialized optimization can transform a mid-sized open-source model (Qwen3-32B) into a pedagogical domain expert that outperforms far larger proprietary systems — but only when training rewa…

2026-05-07 · llm, intelligent-tutoring, adaptive-learning, benchmark, ai-education

Tailoring educational experiences to individual learner profiles, including prior knowledge, learning pace, preferences, and affective states. AI enables personalization at scale, though the gap betwe…

2026-05-07 · personalized-learning, intelligent-tutoring, adaptive-learning, ai-education, llm

> Self-regulated learning (SRL) describes learners as active participants who can shape and develop their cognitive and behavioral actions in a successful way. AI tools can either scaffold SRL develop…

2026-05-07 · self-regulated-learning, metacognition, scaffolding, k-12, formative-assessment

> Socratic dialogue — asking structured questions rather than providing answers — is one of the strongest pedagogical scaffolds for deep learning. When automated via AI, it produces measurable reasoni…

2026-05-07 · intelligent-tutoring, scaffolding, active-learning, stem-education, formative-assessment

> Maier, Gunzenhäuser & Schweisthal (2026) conduct a **meta-analysis synthesizing evidence** on how generative AI tools affect both programming productivity and learning outcomes. This is a **confiden…

2026-05-06 · rct, efficacy-study, generative-ai, learning-gains, meta-analysis

> Bannò, Knill & Gales (2026) propose a paradigm shift in automated essay scoring: from **inter-learner ranking** to **intra-learner profiling**. Instead of asking "how does this essay rank against ot…

2026-05-05 · automated-grading, writing-education, llm, ai-education, human-in-the-loop-ai

> **Synthesis:** Sangwa, Ndahayo & Dusengumuremyi (2026) develop the EPIQ-AI Readiness Framework synthesizing data from 2020-2025 to explain how institutions can align faculty capacity, governance, an…

2026-04-02 · faculty-development, ai-literacy, academic-integrity, teacher-ai-competency, institutional-change-framework-ai

> **Synthesis:** White & Wu (2026) critically examine the integration of AI and robotics into education, arguing that while transformative potential exists at all levels, effective integration require…

2026-03-05 · ai-education, ai-literacy, ethics, k-12, stem-education