🏷️ generative-ai

> **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, motivation, self-regulated-learning, higher-ed, 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 · over-reliance, ai-misuse-learning-harm, self-regulated-learning, higher-ed, motivation

> **Synthesis:** Suñer et al. (2026) show that a fully customized, browser-based rotation laboratory can be generated entirely through natural-language prompting of an AI assistant, with no manual cod…

2026-08-13 · physics-education, mobile-learning, content-generation, stem-education, personalized-learning

> **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, higher-ed, ai-literacy

> **Synthesis:** Li (2026) presents a conceptual Perspective arguing that AI-assisted vocal pedagogy should be evaluated not by how precisely AI measures vocal output (pitch, stability, timing) but by…

2026-08-13 · feedback-loop, self-regulated-learning, metacognition, music-education, human-ai-collaboration

> **Synthesis:** Hornung et al. (2026) present **CyberAGENTS**, an agentic framework for gamified cybersecurity learning that enables *structured autonomy* through ontology-guided validation, schema-g…

2026-08-13 · agentic-ai, computing-education, cs-education, pedagogical-safety, llm

> **Synthesis:** Jiang et al. (2026) introduce **ELBench**, the first benchmark to evaluate education-facing LLMs on all four required dimensions — General Capability, Safety and Trustworthiness, Basi…

2026-08-13 · benchmark, llm-evaluation, ai-ed-evaluation, pedagogical-safety, llm

> **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, higher-ed, professional-training

> **Synthesis:** Levy et al. (2026) show how a structured natural-language prompt can generate a browser-based, hand-controlled **augmented-reality (AR) physics simulation** — spread your thumb and in…

2026-08-13 · physics-education, simulation, content-generation, stem-education, prompt-engineering

> **Synthesis:** Gao (2026) examined whether generative-AI-supported adaptation of English for Academic Purposes (EAP) reading materials chiefly changes passage-level structural complexity or text-emb…

2026-08-13 · language-learning, personalized-learning, instructional-design, scaffolding, teacher-role

> **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 · motivation, self-determination-theory, engagement-metrics, higher-ed, 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 · over-reliance, ai-literacy, self-regulated-learning, cognitive-offloading, ai-misuse-learning-harm

> **Synthesis:** Lu et al. (2026) examined, through the lens of Social Cognitive Theory, whether Chinese university EFL learners' perceptions of generative-AI-based pronunciation feedback relate to th…

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

> **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, higher-ed

> **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 · creativity, ai-literacy, student-experience, higher-ed, trust-calibration

> **Synthesis:** Lin et al. (2026) present the **Teaching Monster Challenge**, the first instructional-video generation benchmark that treats the learner persona as an explicit evaluation criterion, m…

2026-08-13 · benchmark, llm-evaluation, ai-ed-evaluation, agentic-ai, pedagogical-agent

> **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, higher-ed, self-regulated-learning, ai-education

> **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 · ai-tutoring, student-experience, engagement-metrics, curriculum-design, higher-ed

> **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 · higher-ed, curriculum-design, professional-training, teacher-role, equity

> Pardos & Bhandari (2024) report a randomized efficacy study (N=274) comparing ChatGPT-generated hints to human tutor-authored hints and a no-help control across four mathematics subject areas. Only …

2026-08-12 · llm, ai-tutoring, intelligent-tutoring, scaffolding, math-education

> **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, higher-ed, automated-assessment

> **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, higher-ed, academic-integrity, equity, ethics

> **Synthesis:** This theoretical paper names a state it calls *metacognitively discordant completion* (MDC): a learner submits correct, complete work while holding a first-person awareness that under…

2026-08-12 · metacognition, self-regulated-learning, cognitive-offloading, over-reliance, academic-integrity

> Wu et al. (2025, ACL) tackle the core challenge of [[simulating-students]]: LLMs trained as "helpful assistants" produce overly perfect answers and fail to model the natural imperfections and varied…

2026-08-12 · simulating-students, llm, student-modeling, knowledge-graph, cognitive-diagnosis

> Marquez-Carpintero, Lopez-Sellers & Cazorla (2025) present a thematic review of empirical and methodological studies using LLMs to [[simulating-students|simulate student behavior]] in education. The…

2026-08-12 · simulating-students, llm, student-modeling, agentic-ai, instructional-design

> Yuan et al. (2026) present a conceptual and methodological framework for valid LLM-based [[simulating-students|student simulation]]. They identify the **competence paradox** — broadly capable LLMs a…

2026-08-12 · simulating-students, llm, student-modeling, epistemic-state, evaluation

> **AI misuse and learning harm** — the causal relationship between students offloading cognitive work to generative AI and reduced durable learning, even when immediate task performance rises. The de…

2026-08-12 · over-reliance, cognitive-offloading, academic-integrity, assessment, self-regulated-learning

> **Creativity** — the capacity to generate novel and valuable ideas, solutions, or artifacts. In the AI era, creativity is a central educational stake: generative AI can both amplify creative work (a…

2026-08-12 · critical-thinking, divergent-thinking, student-experience, writing-education, constructivist

> **Reducing AI misuse** — the design, pedagogical, and policy levers that prevent students from substituting generative AI for their own cognitive work and instead steer them toward ethical, producti…

2026-08-12 · ai-literacy, academic-integrity, assessment, scaffolding, self-regulated-learning

> **Simulating students** — using LLM-based agents to model learner behavior, cognition, and social dynamics for educational research, design, and training. Simulated students let researchers evaluate…

2026-08-12 · simulation, student-modeling, knowledge-tracing, cognitive-diagnosis, agentic-ai

> **Student misconceptions about AI** — the inaccurate beliefs students hold about what AI systems are, what they do, and what using them means for learning, especially in academic contexts. Misconcep…

2026-08-12 · ai-literacy, trust-calibration, metacognition, over-reliance, cognitive-offloading

> **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, higher-ed, 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, higher-ed, 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, higher-ed, 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, higher-ed, systematic-review, learning-analytics

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

2026-08-11 · feedback-loop, higher-ed, writing-instruction, self-regulated-learning, assessment-literacy

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

2026-08-11 · cooperative-learning, collaborative-learning, higher-ed, teacher-education, mixed-methods

> **Synthesis:** This systematic literature review synthesizes 8 peer-reviewed studies (2019–2025) on AI literacy for elementary writing instruction, finding that AI integration efficiently supports w…

2026-08-11 · writing-education, k-12, ai-literacy, systematic-review, creativity

> **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 · higher-ed, systematic-review, assessment, personalized-learning, ai-literacy

> **Synthesis:** This quasi-experimental study of an intensive 8-hour generative-AI professional development program with 163 teachers and pre-service teachers found significant gains across all five …

2026-08-11 · teacher-professional-development, teacher-ai-competency, professional-training, efficacy-study, teacher-training

> **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, higher-ed, knowledge-graph, personalized-learning

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

2026-08-11 · collaborative-learning, higher-ed, 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 · agentic-ai, prompt-engineering, higher-ed, instructional-design, verification

> **Synthesis:** Sun et al. (2026) present VeriForge, a mixed-initiative [[generative-ai]] writing system that assumes initiative over domain discovery while the author retains initiative over narrati…

2026-08-11 · writing-education, scaffolding, rag, human-in-the-loop, creativity

> **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, cognitive-offloading, self-regulated-learning, student-experience, higher-ed

> **Synthesis:** This paper addresses concerns that students use GenAI to submit texts they do not understand, adopting an assessment validity lens. It proposes Coauthorship Integrity as a new concept…

2026-08-10 · assessment, conversational-agents, assessment-validity, academic-integrity, ai-education

> **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, curriculum-design, higher-ed, project-based-learning

> **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 · higher-ed, computational-thinking, ai-tutoring, systematic-review, design-guidelines

> **Synthesis:** This four-year comparative study presents results of implementing a Generative-AI Interactive Textbook built on GPT-4, integrated into an Electrical Engineering course. With a sample …

2026-08-10 · assessment, equity, ai-tutoring, ai-education, educational-technology

> **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 · feedback-design, higher-ed, 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 · higher-ed, self-regulated-learning, language-learning, systematic-review, epistemic-agency

> **Synthesis:** This paper introduces a novel leadership framework called SPARK (Systems, Problem, Analysis, Research, and Knowledge brokerage), designed to operationalise Complexity Leadership Theor…

2026-08-10 · administrator, epistemic-agency, ai-education, ai-tutoring, educational-technology

> **Synthesis:** This paper maps the challenges that generative AI, streaming algorithms, and digital audio workstations pose for music education. Three converging transformations are examined: the ch…

2026-08-10 · music-education, curriculum-design, ai-literacy, digital-transformation, ai-education

> **Synthesis:** Drawing on CSCL research traditions, this paper conceptualizes the risk of reduced epistemic effort when learners use generative AI to produce knowledge artifacts. It identifies two s…

2026-08-10 · collaborative-learning, cognitive-offloading, metacognition, critical-thinking, ai-education

> **Synthesis:** This study investigates the capacity of a large language model to generate formative feedback for student-created UML diagrams in a university software engineering course. Across two …

2026-08-10 · feedback-design, assessment, higher-ed, curriculum-design, ai-education

> **Synthesis:** This qualitative case study examines undergraduate students' engagement with GenAI in academic learning using self-determination theory and epistemic network analysis. Data from 23 se…

2026-08-10 · assessment, higher-ed, academic-integrity, engagement-metrics, creativity

> **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, higher-ed, course-redesign, assessment

> **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 · ai-literacy, higher-ed, policy, technology-adoption, ai-education

> **Synthesis:** This paper presents a modular multi-agent platform for adversarially stress-testing [[agentic-ai|role-playing language agents]] through structured multi-turn dialogue. With three coor…

2026-08-09 · agentic-ai, multi-agent, safety, evaluation, llm

> **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, higher-ed

> **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, assessment, higher-ed

> **Synthesis:** EchoPrompt introduces a training-free zero-shot detector for [[plagiarism-detection|LLM-generated text]] that exploits the latent prompt dependency inherent in machine-generated conte…

2026-08-09 · ai-detection, llm, plagiarism-detection, academic-integrity, evaluation

> **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, ai-education, higher-ed

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

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

> **Synthesis:** This paper introduces an evidence-grounded multimodal pipeline that constructs provenance-rich [[knowledge-tracing|knowledge graphs]] from lecture videos by integrating speech transcr…

2026-08-09 · multimodal, ai-education, knowledge-tracing, student-modeling, lecture-review

> **Synthesis:** TACT (Taxonomy-Aligned Conversational Tutor) presents a human-grounded framework for training and evaluating pedagogically adaptive ESL tutors powered by [[llm|LLMs]]. Built on a Tuto…

2026-08-09 · tutoring, tutoring-systems, scaffolding, ai-tutoring, adaptive-learning

> **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 · teacher-role, instructional-design, higher-ed, ai-education, sustainability

> **Synthesis:** Xie, Yang, Zhang, Li, Wang, Yang & Gao (2026) propose HiLLM-CD, a tree-structured framework for cognitive diagnosis that represents student proficiency as node-wise values on a concep…

2026-08-09 · cognitive-diagnosis, knowledge-tracing, student-modeling, llm, adaptive-learning

> **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, llm, higher-ed, k-12

> **AI feedback quality** — the accuracy, usefulness, timeliness, and pedagogical value of feedback generated by AI systems for learners. As AI-generated feedback becomes ubiquitous in education, unde…

2026-08-09 · ai-feedback-quality, formative-assessment, automated-grading, feedback-loop, ai-literacy

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

2026-08-09 · ai-education, higher-ed, 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, llm, prompt-engineering

> **Benchmark** — standardized test suites and evaluation frameworks used to measure AI model performance on educational tasks. Benchmarks enable reproducible comparison across models and approaches, …

2026-08-09 · ai-ed-evaluation, assessment, llm, benchmark

> **Cognitive offloading** — the use of external tools (including AI) to reduce internal cognitive demand, shifting mental work from the learner to the system. In AI in education, cognitive offloading…

2026-08-09 · cognitive-offloading, cognitive-load-theory, over-reliance, ai-literacy, student-experience

> **Computational thinking** — a problem-solving approach involving decomposition, pattern recognition, abstraction, and algorithmic design. In AI education, computational thinking is both a prerequis…

2026-08-09 · cs-education, stem-education, ai-literacy, k-12, prompt-engineering

> **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, higher-ed, 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, higher-ed

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

2026-08-09 · ai-education, higher-ed, 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, higher-ed, student-experience

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

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

> **Hallucination Risk** — the danger that AI systems generate plausible but factually incorrect or fabricated content in educational contexts, where such errors can mislead learners, undermine trust,…

2026-08-09 · hallucination-risk, ai-ed-evaluation, llm, pedagogical-safety, human-in-the-loop-ai

> **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 · higher-ed, ai-education, 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, ai-literacy

> **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, writing-education, higher-ed, k-12

> **Large Language Models (LLMs)** — neural network models trained on vast text corpora that generate human-like text, powering most modern AI in education applications. LLMs are the computational bac…

2026-08-09 · prompt-engineering, rag, hallucination-risk, pedagogical-safety, ai-tutoring

> **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, higher-ed, student-experience

> **Over-reliance** — excessive or uncalibrated dependence on AI tools where students delegate cognitive work they should perform themselves, resulting in reduced learning, diminished agency, and the …

2026-08-09 · over-reliance, cognitive-offloading, ai-literacy, trust-calibration, 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, higher-ed, 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

> **RAG (Retrieval-Augmented Generation)** — an AI architecture that combines information retrieval with text generation, allowing LLMs to ground responses in external knowledge sources rather than re…

2026-08-09 · llm, hallucination-risk, knowledge-graph, edtech-platform, ai-tutoring

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

2026-08-09 · ai-education, higher-ed, student-experience

> **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, higher-ed, student-experience, scaffolding, intelligent-tutoring

> **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 · llm, higher-ed, ai-literacy, over-reliance, cognitive-offloading

> **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 · ai-literacy, equity, productivity, efficacy-study, higher-ed

> **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, human-ai-interaction, ai-literacy, higher-ed, 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, higher-ed

> **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, higher-ed

> **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 · feedback-design, higher-ed, scientific-argumentation, self-regulated-learning, peer-feedback

> **Synthesis:** This paper introduces the Synthesis-Analysis Reciprocity Model and the Vibe Compiler tool to preserve human epistemic agency during GenAI-assisted intellectual work. The model frames …

2026-08-07 · metacognition, critical-thinking, cognitive-offloading, human-in-the-loop, self-regulated-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, higher-ed, pedagogical-safety, human-in-the-loop

> **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 · stem-education, ai-generated-content, multimodal, content-quality, higher-ed

> **Synthesis:** Drawing on a systematic literature review, this UCL chapter proposes a five-level framework of teacher-AI teaming—transactional, situational, operational, praxical, and synergistic—to…

2026-08-06 · teacher-role, teacher-ai-teaming, human-ai-interaction, teacher-agency, hybrid-intelligence

> **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, higher-ed

> **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 · higher-ed, pedagogy, instructional-design, teacher-role, professional-training

> **A dual-agent RAG-based system for generating and validating coding comprehension MCQs**, evaluated by 6 SMEs across 7 pedagogical dimensions (N=288 questions, 2,016 rating pairs). AI excels at cri…

2026-08-04 · llm, agentic-ai, rag, question-generation, coding-education

> **A fully open-source agentic tutoring framework that closes the loop between citation-grounded problem tutoring and difficulty-calibrated question generation**, powered by a hybrid personalization …

2026-08-04 · llm, agentic-ai, personalized-learning, intelligent-tutoring, rag

> **A new paradigm for online education replacing MOOCs with LLM-driven multi-agent AI classrooms**, piloted at Tsinghua University with 100K+ learning records from 500+ students. MAIC uses specialize…

2026-08-04 · llm, agentic-ai, multi-agent, mooc, online-education

> **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 · pedagogy, tutoring, teacher-support, assessment, policy

> **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, k-12, teacher-role, educational-theory, ai-literacy-in-higher-education

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 · ai-literacy, writing-education, higher-ed, agentic-ai, equity

> Gero, Long, Schnitzler & Dhillon (2026, DIS '26) ran a between-subjects essay study (n = 253) showing that **where** AI support enters the writing process determines how much students feel they own …

2026-08-03 · writing-education, student-experience, ai-generated-content, metacognition, llm

> 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, academic-integrity

> 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, higher-ed

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 · feedback-loop, higher-ed, 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 · feedback-loop, student-experience, higher-ed, ai-literacy, language-learning

> **Nolan Lovett** — Human Resource Development Review (author accepted manuscript, 2026).…

2026-08-03 · professional-training, educational-theory, cognitive-offloading, lifelong-learning, over-reliance

> **Thang Doan Viet, Anh Nguyen Hoang, Tinh Luong Son, Anh Hoang Thi Ngoc, Huyen Giang Thi Thu, Tai Le Quy** — arXiv preprint (2026).…

2026-08-03 · llm, k-12, curriculum-design, teacher-role, global-south

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 · feedback-loop, higher-ed, ai-literacy, educational-theory, equity

> The null average performance effect masks strong offsetting heterogeneity — and the exam had severe ceiling compression (control mean 89.2/100, 47% ≥ 95), which also limits power. The belief reversa…

2026-08-03 · faculty-development, teacher-role, k-12, student-experience, cognitive-offloading

> **Rana Abou Khamis, Hala Assal, Ashraf Matrawy** — arXiv preprint (2026).…

2026-08-03 · professional-training, cognitive-offloading, over-reliance, lifelong-learning, human-in-the-loop

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 · feedback-loop, student-experience, higher-ed, ai-literacy, engagement-metrics

> **Alex Liu, Min Sun, Lief Esbenshade, Michael Xiao, Victor Tian, Zachary Zhang, Kevin He** — arXiv preprint (2026).…

2026-08-03 · llm, qualitative-research, k-12, teacher-role, ai-ed-evaluation

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 · feedback-loop, teacher-role, higher-ed, 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 · higher-ed, student-experience, engagement-metrics, rct, rag

> **Responsible assessment in the AI era** — assessment grounded in learners' sociocultural contexts and designed to generate valid, trustworthy, context-specific inferences from accumulated evidence,…

2026-08-03 · assessment, assessment-validity, formative-assessment, ai-ed-evaluation, educational-theory

> **Deliang Wang, Cunling Bian** — AIED 2026 (accepted full paper).…

2026-08-03 · scaffolding, equity, multilingual-learning, prompt-engineering, ai-literacy

> **Ilya Mikhelson** — Submitted to Computers and Education: Artificial Intelligence (2026).…

2026-08-03 · llm, assessment, automated-grading, assessment-validity, scaffolding

Presents **StructRAG**, a pattern-aware framework that improves how AI tutoring systems interpret **complex engineering diagrams** (circuit schematics, network topologies, block flowcharts) in STEM. C…

2026-08-03 · intelligent-tutoring, stem-education, llm, automated-grading, feedback-loop

> Ibrahim, Hafner, Cheng, Lee, Anselmetti, Willer, Rocher & Yang (2026) provide large longitudinal experimental evidence (N = 3,075; 12,766 conversations; three-week census-representative U.S. sample)…

2026-08-03 · affective-computing, student-ai-interaction, over-reliance, ethics, ai-literacy

> **Authors:** Viola Deutscher, Herbert Thomann, Olga Zlatkin-Troitschanskaia, Ulrike Weyland, Stephan Abele, Amory H. Danek, Samuel Greiff, Andreas Rausch, Susan Seeber, Jürgen Seifried, Esther Winth…

2026-08-01 · professional-training, efficacy-study, intelligent-tutoring, adaptive-learning, simulation-based-learning

> **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, llm, intelligent-tutoring, higher-ed, 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, llm, scaffolding, feedback-loop, higher-ed

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 · student-experience, stem-education, higher-ed

Argues existing AI literacy frameworks, dominated by technical competency and responsible-use principles, enforce a consumer orientation toward AI rather than fostering genuine epistemic agency. Draws…

2026-07-31 · ai-literacy, equity, educational-theory

Studies how organizing synthetic content into coherent book-level documents affects language model training, moving beyond local rewriting. Presents a scalable synthesis pipeline that retrieves source…

2026-07-31 · llm, personalized-learning, educational-theory

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 · higher-ed, 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 · writing-education, equity, higher-ed, language-learning

Position paper exploring "Generative Refusal" — AI tools that strategically withhold text generation to demand user articulation, functioning as a Maieutic Partner rather than a cognitive offloading t…

2026-07-31 · writing-education, scaffolding, educational-theory, over-reliance

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 · student-experience, stem-education, higher-ed, 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, llm, scaffolding, instructional-design, efficacy-study

Presents Memdora, a cross-platform AI spaced repetition system that addresses limitations of binary flip-and-rate flashcard interactions. Grounded in cognitive science evidence on retrieval practice, …

2026-07-31 · adaptive-learning, mastery-learning, student-experience

Argues that as AI systems become capable of producing the artifacts through which institutions recognize competence, existing ethical frameworks centered on AI failures become insufficient. Develops t…

2026-07-31 · educational-theory, over-reliance, student-experience, ai-literacy

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 · stem-education, higher-ed, efficacy-study, student-experience

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, higher-ed, intelligent-tutoring

> **Principled AI Education Framework** — A principled way to think about AI in education: guidance for educators and policy makers on action based on goals, models of human learning, and use of techn…

2026-07-29 · ai-literacy, curriculum-design, instructional-design, zone-of-proximal-development, scaffolding

> **Synthesis:** A custom Socratic AI chatbot deployed in a large-enrollment introductory mechanics course with 150 first-year STEM majors, demonstrating that AI-driven Socratic dialogue can foster ex…

2026-07-29 · socratic-method, physics-education, intelligent-tutoring, socratic-questioning, computational-thinking

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, higher-ed, student-experience, engagement-metrics, efficacy-study

Li, Padman and Krishnan audit 102 US transplant-center patient handbooks that serve as grounding corpora for generative AI patient-education assistants. They show large institutional heterogeneity in …

2026-07-28 · health-education, equity, content-quality, equity-in-ai-education, adaptive-virtual-patient-psychotherapy-training

> **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, higher-ed, llm, learning-analytics, k-12

> **Open-source** AI in education is studied in [[lata-ferpa-compliant-local-llm-autograder]], [[vismatic-secure-sandbox-cs-education]], and [[open-source]] (tag) pages: local open models address [[pr…

2026-07-28 · llm, stem-education, intelligent-tutoring, educational-theory, ai-education

> **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, higher-ed, scaffolding, llm, student-experience

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 · stem-education, teacher-role, student-experience, higher-ed, 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 · higher-ed, efficacy-study, learning-gains, student-experience, llm

MedGame transforms static clinical cases into structured, executable storytelling games for medical education, moving beyond the localized question-answering and single-turn feedback that characterize…

2026-07-24 · llm, professional-training, engagement-metrics, benchmark, ai-tutoring

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 · higher-ed, 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 · higher-ed, 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, higher-ed, 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 · higher-ed, efficacy-study, student-experience, scaffolding, self-regulated-learning

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 · higher-ed, student-experience, ai-literacy, academic-integrity, writing-education

As LLMs take over task execution, a central worry is that everyday AI use becomes cognitive offloading that erodes people's own capability development. This study analyses 128,569 naturalistic human-L…

2026-07-22 · llm, ai-literacy, over-reliance, student-experience, self-regulated-learning

EduGuard is a retrieval-augmented generation (RAG) tutoring framework that directly confronts the safety and pedagogical failures of unrestricted LLM tutors in introductory programming. Unrestricted t…

2026-07-20 · llm, intelligent-tutoring, stem-education, over-reliance, hallucination-risk

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 · llm, higher-ed, 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 · feedback-loop, higher-ed, 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, metacognition, learning-gains, ai-literacy

This landmark field experiment is among the first randomized controlled trials to causally demonstrate that **unguarded generative-AI tutoring can harm skill acquisition**, not merely fail to help. Co…

2026-07-19 · over-reliance, stem-education, k-12, rct, 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 · higher-ed, 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 · academic-integrity, higher-ed, 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, stem-education, ai-literacy, benchmark, higher-ed

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, intelligent-tutoring, higher-ed, stem-education, formative-assessment

> **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 · higher-ed, policy-maker, ai-literacy, equity, ai-ed-implementation

**Gendo Kumoi, Fumie Watanabe, Tota Suko, Takashi Ishida, et al. (2026)** - arXiv preprint (IEEE). arXiv preprint. Kumoi, G., Watanabe, F., Suko, T., Ishida, T., et al. (2026). [A Semi-Automated Syste…

2026-07-15 · llm, personalized-learning, scaffolding, active-learning, pedagogical-llm-training

Investigates why AI-for-education shows inconsistent average effects, arguing that learning behavior explains background-related advantage: students from advantaged backgrounds engage with AI tools in…

2026-07-14 · learning-gains, personalized-learning, student-experience, equity, rag

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, formative-assessment, stem-education, higher-ed, 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, metacognition, higher-ed, human-ai-collaboration

> **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, higher-ed, ai-literacy

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, higher-ed, student-experience, learning-analytics, personalized-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, scaffolding, higher-ed, 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, higher-ed, self-regulated-learning

STEM education faces challenges in personalization and interdisciplinary integration. AI technology has brought new possibilities, but the mechanisms by which AI reshapes the STEM education ecosystem …

2026-07-09 · stem-education, intelligent-tutoring, scaffolding, adaptive-learning, learning-analytics

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, higher-ed, writing-education, ai-literacy, over-reliance

The widespread availability of general-purpose AI that can perform complex cognitive tasks threatens to undermine education at scale. This effortless bypass dilemma sharpens a challenge AIED has long …

2026-07-09 · over-reliance, student-experience, self-regulated-learning, metacognition, 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, feedback-loop, active-learning, programming-its, higher-ed

Large language models generate code from natural language prompts, enabling vibe coding, which allows non-programmers to develop computational solutions. Vibe coding for teachers amplifies the teacher…

2026-07-09 · k-12, teacher-role, ai-literacy, faculty-development, active-learning

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, higher-ed, over-reliance, faculty-development, rag

Introductory programming instruction relies on hands-on practice and short learning activities to support mastery of foundational concepts. Although many such learning resources exist, organizing and …

2026-07-09 · knowledge-tracing, personalized-learning, adaptive-learning, intelligent-tutoring, programming-its

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, higher-ed, llm, over-reliance

Nearly all prior research on LLMs in computing education has used text input, yet voice-enabled interfaces are becoming common. This exploratory study investigated how introductory programming student…

2026-07-08 · ai-literacy, cs-education, llm, programming-its, prompt-engineering

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 · cs-education, over-reliance, metacognition, higher-ed, 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, higher-ed, programming-its, prompt-engineering

> **Haein Kong** — HEAL Workshop at CHI 2026, submitted 1 Jul 2026…

2026-07-02 · equity, k-12, pedagogical-safety, privacy, llm-in-education

> **Lorenzo Stacchio, Michele Giordano, Daniele Berardini, Primo Zingaretti, Emanuele Frontoni** — submitted 17 Jun 2026…

2026-07-02 · intelligent-tutoring, k-12, equity, personalized-learning, llm-in-education

> **Zekun Wu, Man Su, Huiyong Li, Tomohiro Nagashima, Anna Maria Feit** — submitted 1 Jul 2026…

2026-07-02 · k-12, student-experience, affective-computing, adaptive-learning, llm-in-education

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 · higher-ed, learning-analytics, llm, student-experience, ai-literacy

Mansi et al. (2026) introduce Concept Catalyst, a system designed around 'scrutable interfaces' — interfaces that make AI reasoning visible and editable by users. Working with K-12 teachers, the study…

2026-06-30 · ai-literacy, edtech-platform, k-12, teacher-role

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, higher-ed, professional-training, 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 · higher-ed, llm, stem-education, teacher-role, ai-literacy

📄 [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 · higher-ed, assessment, academic-integrity, teacher-role, policy-maker

📄 [PDF](https://arxiv.org/pdf/2606.26579) This study investigates how different modes of AI interaction affect cognitive engagement and learning outcomes in high school students. Using a within-subje…

2026-06-26 · k-12, student-experience, llm, engagement-metrics, affective-computing

This paper explores how an embodied AI agent can act as a [[scaffolding|coach]] that accelerates human motor-skill development using [[adaptive-learning|reinforcement learning]]. The authors argue tha…

2026-06-25 · intelligent-tutoring, personalized-learning, scaffolding, adaptive-learning, professional-training

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 · higher-ed, student-experience, llm, ai-literacy, personalized-learning

SupplyNet is a gamified visual simulation system that uses a contextual graph-based [[llm]] multi-agent framework to model interdependent supply chain dynamics. Designed for [[professional-training]] …

2026-06-24 · intelligent-tutoring, llm, active-learning, professional-training, simulation-based-learning

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, personalized-learning, scaffolding, higher-ed

AdaPT uses transformers to adapt lesson plans across regional and differentiated instruction contexts; improves teacher efficiency while maintaining pedagogical alignment with local curricula. AdaPT: …

2026-06-18 · personalized-learning, adaptive-learning, k-12, teacher-role, ai-literacy-assessment-misalignment

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 · llm, higher-ed, active-learning, feedback-loop, adaptive-virtual-patient-psychotherapy-training

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, automated-grading, assessment, writing-education, ai-literacy-assessment-misalignment

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, higher-ed, active-learning, feedback-loop, adaptive-virtual-patient-psychotherapy-training

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

2026-06-17 · llm, bias-mitigation, writing-education, higher-ed, student-experience

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

2026-06-17 · llm, personalized-learning, higher-ed, intelligent-tutoring, pedagogical-llm-training

**Ravi, Stevens, Hurt, Hanks, Lin & Anderson (2026)**. Ravi et al. investigate how the voice accent of a [[generative-ai]] conversational peer agent shapes learners' perceptions, trust, and interactio…

2026-06-12 · equity, human-in-the-loop, k-12, llm, student-experience

Gayed presents **AiAWE**, an open-source [[automated-grading|automated writing evaluation]] (AWE) system that scores argumentative essays using a LoRA-adapted instruction-tuned [[llm|large language mo…

2026-06-12 · llm, automated-grading, writing-education, open-source, automated-assessment

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 · higher-ed, 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 · llm, personalized-learning, scaffolding, higher-ed, 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 · higher-ed, student-experience, policy-maker, regulation, academic-integrity

> **Sabrina C. Eimler, Lukas Erle, Daniel Flood, Aditi Haiman, Luca Häckert, André Helgert, Lachlan McGinness, Büsra Yapici**…

2026-06-11 · llm, efficacy-study, policy-maker, privacy, ethics

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

2026-06-11 · llm, over-reliance, student-experience, metacognition, higher-ed

**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, intelligent-tutoring, student-experience, higher-ed

**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, higher-ed, learning-analytics, teacher-role

**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, higher-ed, ai-literacy

**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, higher-ed

**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, higher-ed, scaffolding

**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 · llm, ai-literacy, policy-maker, higher-ed, 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, higher-ed, 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, higher-ed, learning-analytics

> 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, higher-ed, engagement-metrics

**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, curriculum-design, higher-ed, 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

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, llm

> **Synthesis:** Conversational AI as a catalyst for informal learning: An empirical large-scale study on LLM use in everyday learning…

2026-06-03 · informal-learning, llm, lifelong-learning, student-experience

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

2026-06-03 · educational-theory, higher-ed, 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 · higher-ed, 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, higher-ed, student-experience

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

2026-06-03 · ai-literacy, prompt-engineering, higher-ed, 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, efficacy-study, higher-ed

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

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

> **Synthesis:** VETTING: A dual-LLM framework for in-loop safety verification via policy isolation in educational AI…

2026-06-03 · pedagogical-safety, k-12, llm

> **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, higher-ed

> **MathCog** benchmark (3,036 teacher-annotated diagnostic verdicts, 639 handwritten responses, 18 LLMs): all models severely underperform (macro F1 < 0.5) — over-attributing evidence, overthinking m…

2026-05-31 · ai-ed-evaluation, knowledge-tracing, multimodal, benchmark, human-in-the-loop

> **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

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, higher-ed, 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, higher-ed, 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 · higher-ed, 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 · higher-ed, academic-integrity, 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, higher-ed, learning-analytics, student-experience

**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, higher-ed, ai-literacy, stem-education, equity

**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, higher-ed, scaffolding

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 · higher-ed, 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, higher-ed, 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, llm, higher-ed, 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, higher-ed, benchmark

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 · efficacy-study, teacher-role, higher-ed, policy-maker, persistent-ai-agents-academic-research

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, automated-grading, higher-ed, 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 · writing-education, student-experience, llm, higher-ed

Across three pre-registered studies (N=2,691), this paper documents systematic miscalibration in how people perceive their own [[generative-ai|AI]] usage. The authors find that people not only use AI …

2026-05-23 · over-reliance, ai-literacy, student-experience, ai-assistance-reduces-persistence, rag

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 · over-reliance, stem-education, k-12, higher-ed, learning-gains

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, adaptive-learning, edtech-platform, professional-training, llm

📄 [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 · teacher-role, faculty-development, efficacy-study, rct, k-12

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 · llm, instructional-design, higher-ed, 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 · higher-ed, cs-education, over-reliance, academic-integrity, formative-assessment

Singh, Mansi, and Riedl (2026) present Concept Catalyst, an LLM-powered tool designed to reduce K-12 teacher preparation time for Engineering Design Challenges. Unlike general-purpose chatbots, Concep…

2026-05-21 · llm, scaffolding, k-12, stem-education, teacher-role

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 · higher-ed, 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, higher-ed, stem-education, over-reliance

🔗 [Code](https://github.com/adno/vocabulary-difficulty) This paper presents two complementary approaches to predicting vocabulary difficulty for language learners, achieving state-of-the-art results …

2026-05-20 · language-learning, llm, benchmark, scaffolding, formative-assessment

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, llm, higher-ed, edtech-platform, collaborative-learning

LLM sycophancy creates a feedback loop where user errors propagate into AI advice, degrading outcomes; AI literacy training reduces but doesn't eliminate this contextual sycophantic dependence. This A…

2026-05-19 · llm, ai-literacy, hallucination-risk, student-experience, bias-mitigation

RAG-based rubric-grounded GenAI writing feedback improved student revision quality (N=143, grades 7-11) and saved teacher time, but automated ratings were inconsistent. CyberScholar demonstrates rubri…

2026-05-19 · llm, writing-education, k-12, formative-assessment, feedback-loop

LLM tutors achieve near-ceiling on correct steps but systematically over-reject valid-suboptimal reasoning and over-validate incorrect solutions — precisely where adaptive tutoring matters most. This …

2026-05-19 · intelligent-tutoring, llm, benchmark, scaffolding, feedback-loop

Socratic questioning, reflection prompts, misconception checks, and mandatory pauses produce better K-12 engagement than directive answer-giving AI tutors. SocratiCode demonstrates a participatory des…

2026-05-19 · intelligent-tutoring, llm, k-12, scaffolding, student-experience

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, feedback-loop, higher-ed, scaffolding, efficacy-study

This study investigates how teachers design multi-agent instructional workflows and identifies three distinct **teacher archetypes** that emerge from behavioral log analysis of 61 in-service teachers:…

2026-05-17 · ai-literacy, faculty-development, multi-agent, scaffolding, teacher-role

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 · higher-ed, 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 · higher-ed, llm, 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, cognitive-offloading, creative-thinking, critical-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, formative-assessment, higher-ed, learning-analytics, personalized-learning

This paper exposes a critical failure mode in using LLMs as simulated students for [[intelligent-tutoring]] development and evaluation. The authors introduce **misconception faithfulness** — the prope…

2026-05-16 · intelligent-tutoring, llm, benchmark, hallucination-risk, student-experience

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, scaffolding, formative-assessment, higher-ed

> Are Agents Ready to Teach? A Multi-Stage Benchmark for Real-World Teaching Workflows **Chen et al. (2026)** — Multiple institutions. Under review.…

2026-05-15 · agentic-ai, benchmark, intelligent-tutoring, llm, scaffolding

> Sycophancy is an Educational Safety Risk: Why LLM Tutors Need Sycophancy Benchmarks **Kasneci & Kasneci (2026)** — Position paper. arXiv cs.AI/cs.HC.…

2026-05-15 · intelligent-tutoring, hallucination-risk, llm, benchmark, over-reliance

> 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 · higher-ed, student-experience, 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, higher-ed, stem-education, llm, 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, higher-ed, scaffolding

> Evaluating Prompt Injection Defenses for Educational LLM Tutors: Security-Usability-Latency Trade-offs **Maiorano (2026)** — arXiv cs.CR/cs.AI.…

2026-05-15 · intelligent-tutoring, llm, regulation, hallucination-risk, student-experience

> 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 · higher-ed, student-experience, llm, 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 · higher-ed, 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 · higher-ed, student-experience, faculty-development, ai-literacy, faculty-development-genai

This paper uses a clever identification strategy: measure the **seasonal drop in ChatGPT activity during non-school summer months** (2023 and 2024). Areas with larger summer dropoffs have heavier scho…

2026-05-14 · k-12, over-reliance, academic-integrity, efficacy-study, k-12-ai-education

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 · metacognition, over-reliance, higher-ed, scaffolding, self-regulated-learning

Using an expert-designed children's reading curriculum and stories generated by GPT-4o and Llama 3.3 70B as training data, the authors fine-tuned three different 8B-parameter LLMs. **The fine-tuned 8B…

2026-05-14 · llm, language-learning, k-12, ai-literacy, equity-in-ai-education

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

2026-05-11 · benchmark, higher-ed, llm, student-experience, pedagogical-llm-training

> **Authors:** Kirk Vanacore, Ryan S. Baker, Avery H. Closser, Jeremy Roschelle **Year:** 2026 **Venue:** arXiv (cs.HC) > Synthesizes intelligent tutoring systems research and generative AI into a kee…

2026-05-11 · intelligent-tutoring, llm, scaffolding, personalized-learning, feedback-loop

> **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 · intelligent-tutoring, student-experience, engagement-metrics, higher-ed, learning-analytics

> Stop treating κ > 0.8 as a binary stamp of approval.…

2026-05-11 · benchmark, efficacy-study, learning-analytics, llm, automated-grading

**AI multimodal feedback matches educator feedback for learning while significantly outperforming it on student perceptions.** The authors built a real-time AI-facilitated multimodal feedback system i…

2026-05-11 · multimodal, feedback-loop, llm, student-experience, learning-analytics

**Sequenced AI feedback harms learning despite boosting engagement and positive perceptions.** In a randomized experiment with 199 participants, the authors compared two types of AI-generated feedback…

2026-05-11 · feedback-loop, formative-assessment, scaffolding, efficacy-study, student-experience

> 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 · higher-ed, scaffolding, self-regulated-learning, faculty-development-genai, metacognition

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

2026-05-09 · administrator, policy-maker, higher-ed, 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, higher-ed, 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

> 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

> **MuTSE** (Roscan et al., 2026) addresses a critical need in **Intelligent Tutoring Systems (ITS)**: delivering content at the right reading level for each learner. > Human-in-the-loop evaluation fr…

2026-05-08 · intelligent-tutoring, nlp-education, adaptive-learning, human-in-the-loop, human-in-the-loop-ai

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, higher-ed

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, higher-ed, student-experience

> Gonnermann-Müller, Haase & Leins (2026) evaluate whether **LLM-generated student personas simulating ADHD profiles** maintain stable and realistic behavioral patterns over time. This addresses a cri…

2026-05-07 · llm, student-experience, ai-education, benchmark, learning-analytics

> Current AI tutoring systems treat each session as independent. Adaptive systems use real-time knowledge tracing (e.g., [[knowledge-tracing-irt|IRT-based models]]) but rarely retain a longitudinal st…

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

> 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, higher-ed, multimodal, active-learning, scaffolding

> 1. **Desirable difficulties** — General-purpose AI removes productive struggle; tutoring tools preserve it via graduated hints. 2. **Germane load** — Effective learning requires processing that feel…

2026-05-07 · intelligent-tutoring, llm, personalized-learning, scaffolding, adaptive-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, higher-ed, k-12, 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, higher-ed

> 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, higher-ed

> 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, higher-ed, stem-education

> 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, higher-ed, learning-gains, meta-analysis

> **Synthesis:** Raza & Farooq (2025) conduct a comprehensive content analysis of AI in education from 2020-2025, examining 100+ peer-reviewed articles through a three-layer framework: the genome laye…

2025-10-31 · ai-education, systematic-review, personalized-learning, learning-analytics, intelligent-tutoring