🏷️ ai-literacy

> **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 · higher-ed, 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, higher-ed

> **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, self-regulated-learning, cognitive-offloading, ai-misuse-learning-harm

> **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, higher-ed, student-experience

> **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, student-experience, higher-ed, trust-calibration

> **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, higher-ed, stem-education, survey

> **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 · critical-thinking, higher-ed, teacher-role, curriculum-design, equity

> **Synthesis:** HAIML is a human-centered framework for learning in AI-supported environments that preserves human agency, metacognitive awareness, ethical reasoning, and personal responsibility. Gro…

2026-08-12 · metacognition, self-regulated-learning, human-in-the-loop, cognitive-offloading, over-reliance

> **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 · academic-integrity, assessment, scaffolding, self-regulated-learning, metacognition

> **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 · trust-calibration, metacognition, over-reliance, cognitive-offloading, academic-integrity

> **Trust calibration** — the metacognitive capacity to align one's confidence in an AI system with its actual reliability in a given context, knowing when to trust and when to question its output. Tr…

2026-08-12 · over-reliance, trust-calibration, human-ai-collaboration, metacognition, hallucination-risk

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

> **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, higher-ed, instructional-design

> **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 · career-adaptability, higher-ed, student-experience, assessment, equity

> **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 · teacher-ai-competency, faculty-development, pedagogical-llm-training, higher-ed, k-12

> **Synthesis:** Chiu (2026) proposes the Human-Centric AI Pedagogy (HCAP) framework, an evolution of TPACK designed for the generative AI era. Arguing that AI's agentic autonomy, epistemic complexiti…

2026-08-10 · teacher-ai-competency, pedagogical-llm-training, faculty-development, ai-education, ethics

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

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

> **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, generative-ai, curriculum-design, digital-transformation, ai-education

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

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

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

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

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

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

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

> **Synthesis:** This article reports on a Delphi study that created the Scaffolded AI Literacy (SAIL) framework, broadly applicable across contexts while accessible enough for curriculum assimilation…

2026-08-10 · curriculum-design, digital-divide, scaffolding, ai-education, ai-tutoring

> **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, higher-ed, 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 · teacher-training, k-12, stem-education, higher-ed, generative-ai

> **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:** 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, higher-ed, regulation, policy, institutional-change

> **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

> **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, plagiarism-detection, authentic-assessment, educational-policy-ai, regulation

> **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-tutoring, generative-ai, 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, generative-ai

> **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

> **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, student-experience, generative-ai

> **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, k-12, prompt-engineering, adaptive-learning

> **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, higher-ed, scaffolding, socratic-method

> **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, educational-policy-ai

> **Ethics** — the moral principles governing the design, deployment, and use of AI in educational contexts. AI education ethics spans data privacy, algorithmic fairness, transparency, accountability,…

2026-08-09 · equity, privacy, bias-mitigation, regulation, pedagogical-safety

> **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, educational-policy-ai, higher-ed, k-12

> **Generative AI** — AI systems capable of producing text, code, images, and other content, most prominently large language models like GPT-4 and Claude. Generative AI is the technology driving the c…

2026-08-09 · llm, prompt-engineering, rag, ai-tutoring, over-reliance

> **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

> **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, teacher-role, equity, special-education, higher-ed

> **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 · generative-ai, prompt-engineering, rag, hallucination-risk, pedagogical-safety

> **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, trust-calibration, student-experience, generative-ai

> **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, higher-ed

> **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, simulation-based-learning, higher-ed

> **Scaffolding** — structured support that helps learners accomplish tasks they cannot yet complete independently, with support fading as competence grows. In AI in education, scaffolding is the prim…

2026-08-09 · zone-of-proximal-development, over-reliance, cognitive-load-theory, feedback-loop, 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 · generative-ai, llm, higher-ed, 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, k-12, higher-ed, scaffolding

> **AI in Writing Education** — the use of AI tools for writing instruction, assessment, and feedback. Writing education is one of the most AI-affected domains, as LLMs excel at text generation, revis…

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

> **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, higher-ed, 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, student-experience, higher-ed, 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, 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, generative-ai, human-ai-interaction, higher-ed, efficacy-study

> **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, equity, metacognition, teacher-role, k-12

> **Synthesis:** An LLM-based interactive module teaches K-12 students prompting literacy through scenario-based deliberate practice with an AI auto-grader providing immediate, detailed feedback. Depl…

2026-08-06 · prompting-literacy, k-12, llm, ai-education, scenario-based-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 · professional-training, higher-ed, generative-ai, pedagogical-safety, human-in-the-loop

> **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

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

> Robinson, Gormley, Ribeiro & Loeb (2026) ran two RCTs showing that AI tutoring's binding constraint is **take-up, not capability**: despite dedicated session time, nearly half of students never used…

2026-08-03 · intelligent-tutoring, equity, engagement-metrics, k-12, student-experience

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

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

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

> 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 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, higher-ed, 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 · higher-ed, 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, higher-ed, 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, higher-ed, engagement-metrics

> **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, generative-ai, ai-ed-evaluation

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

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

> 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, generative-ai

> Pitts, Rani & Mildort (2026, AIED) show with 432 undergraduates that **higher trust in an AI assistant is associated with lower appropriate reliance**: students who trusted the assistant more were w…

2026-08-03 · over-reliance, cs-education, student-ai-interaction, metacognition, rag

> **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, higher-ed

> **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

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 · equity, educational-theory, generative-ai

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 · generative-ai, educational-theory, over-reliance, student-experience

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 · higher-ed, stem-education, student-experience, affective-computing, personalized-learning

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, higher-ed, teacher-role, learning-analytics, academic-integrity

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

2026-07-29 · agentic-ai, educational-theory, generative-ai, 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 · curriculum-design, instructional-design, generative-ai, zone-of-proximal-development, scaffolding

> **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 · collaborative-learning, instructional-design, ai-literacy-assessment-misalignment, k-12-ai-education, llm

> **The LLM Fallacy** is a cognitive attribution error in which individuals misinterpret LLM-assisted outputs as evidence of their own independent competence — producing a systematic gap (∆C) between …

2026-07-29 · llm, misinformation, ai-assistance-reduces-persistence, cognitive-load-theory, cognitive-offloading-llm-synthesis-writing

> **Stanford Evidence Base: AI in K-12 Education** — A 2026 systematic review from the Stanford SCALE Initiative analyzing 818 papers on AI in K-12 education. The central finding is stark: only 20 stu…

2026-07-29 · k-12, evidence, zone-of-proximal-development, k-12-ai-education, ai-tutoring

Addo, Munagah, Kumbol, Uchidiuno and Boateng study why African students enroll in SuaCode, a smartphone-based online coding course (from the team behind the Kwame AI teaching assistant) addressing the…

2026-07-28 · cs-education, equity, mooc, global-south, equity-in-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 · higher-ed, generative-ai, 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 · generative-ai, stem-education, teacher-role, student-experience, higher-ed

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 · cs-education, higher-ed, generative-ai, engagement-metrics, bias-mitigation

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, higher-ed, student-experience, 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, generative-ai, over-reliance, student-experience, self-regulated-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, higher-ed, writing-education, feedback-loop

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, higher-ed, student-experience, learning-gains

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, higher-ed, academic-integrity, authentic-assessment, over-reliance

> **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, assessment, authentic-assessment, computational-thinking, generative-ai

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, higher-ed, student-experience, writing-education

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, benchmark, higher-ed

**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 · equity, policy-maker, academic-integrity, higher-ed, 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, higher-ed, policy-maker, 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 · equity, k-12, policy-maker, higher-ed, 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, higher-ed, reshaping-cs-education-genai

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, generative-ai, 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, 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, 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, generative-ai, scaffolding, higher-ed, feedback-loop

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 · student-experience, academic-integrity, higher-ed, 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, higher-ed, writing-education, over-reliance, teacher-role

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, generative-ai, 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 · higher-ed, 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, higher-ed, llm

Prompt engineering is a critical yet undertaught skill for software developers, poorly served by traditional instruction because of its evolving, interactive, context-dependent nature. The authors int…

2026-07-08 · agentic-ai, cs-education, feedback-loop, formative-assessment, intelligent-tutoring

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 · cs-education, generative-ai, 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 · generative-ai, cs-education, over-reliance, metacognition, higher-ed

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 · cs-education, generative-ai, higher-ed, 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, higher-ed

**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 · cs-education, student-ai-interaction, scaffolding, higher-ed, automated-grading

Data comics combine sequential visual narratives with data visualization to improve student engagement with [[generative-ai]] in educational settings. This paper evaluates the effectiveness of AI-assi…

2026-07-03 · ai-generated-content, k-12, active-learning, llm, 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, higher-ed, llm

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, higher-ed

**Tomohiro Nagashima, Lisa Siegrist, Niklas Scholz, Shintaro Sato, Martina Vincoli, Man Su (2026)** As AI technologies enter [[k-12]] classrooms, understanding how different stakeholders perceive thes…

2026-07-03 · k-12, teacher-role, student-experience, student-ai-interaction, automated-grading

> **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, higher-ed, student-experience, academic-integrity, stem-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, higher-ed

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, higher-ed, learning-analytics, llm, student-experience

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 · edtech-platform, generative-ai, k-12, teacher-role

Abdelghani, Kaiser & Murayama (2026) trace how middle and high school students' interactions with AI math tutors evolve over time, identifying a trajectory from superficial prompting ('tell me the ans…

2026-06-30 · k-12, metacognition, stem-education, student-experience, self-regulated-learning

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 · equity, generative-ai, higher-ed, professional-training, llm

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 · higher-ed, 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, higher-ed, llm, stem-education, teacher-role

This survey provides the first systematic review of automated presentation coaching systems, organizing them along a five-dimensional task taxonomy: segmental pronunciation, lexical stress, suprasegme…

2026-06-29 · llm, intelligent-tutoring, feedback-loop, professional-training, language-learning

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, equity, student-experience, language-learning

📄 [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, generative-ai, teacher-role

📄 [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, generative-ai, engagement-metrics

📄 [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 · lifelong-learning, equity, student-experience, edtech-platform, faculty-development

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, higher-ed, student-experience, llm, personalized-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, 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, generative-ai

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 · higher-ed, student-experience, 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, higher-ed, engagement-metrics, student-experience

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 · higher-ed, llm, stem-education, student-experience, teacher-role

> Examines gender differences in AI literacy, safety awareness, and STEM career aspirations among Australian secondary students (Years 7, 8, 10; N=199) from two co-educational government schools after…

2026-06-16 · k-12, stem-education, equity, student-experience, learning-analytics

**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, generative-ai, human-in-the-loop, k-12, llm

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, higher-ed, academic-integrity, policy-maker, 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, higher-ed

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, higher-ed, student-experience, policy-maker, regulation

> **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

**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, 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, 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 · generative-ai, llm, 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, generative-ai, formative-assessment

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, generative-ai, curriculum-design, higher-ed, llm

Introduces a novel core concept, **"Awareness of Technological Isomorphism,"** defined as a student's metacognitive realization that their own mathematical cognitive operations (observing trends, indu…

2026-06-09 · k-12, stem-education, personalized-learning, metacognition, scaffolding

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 · higher-ed, equity, student-experience, teacher-role, intelligent-tutoring

Multi-institutional study on Generated Animated Traces (GATs) for CS1. Found that mid-engagement students may experience a performance decrement due to coordination costs (Expertise-Reversal Effect). …

2026-06-03 · cs-education, llm, scaffolding, personalized-learning, mastery-learning

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 · higher-ed, 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 · higher-ed, stem-education, faculty-development, math-education

> **Synthesis:** Fostering machine learning literacy in senior primary education: Evaluating a structured pedagogical course design…

2026-06-03 · k-12, computational-thinking, instructional-design

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

2026-06-03 · prompt-engineering, higher-ed, 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 · faculty-development, generative-ai, efficacy-study, higher-ed

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

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

Through Brazilian government case studies, demonstrates that a four-layer pedagogical methodology (Literacy, Protocol, Prompt Engineering, Audit) is the key to productivity gains (up to 50%), rather t…

2026-06-02 · public-sector, training-methodology, efficacy-study, prompt-engineering, scaffolding

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, curriculum-design, higher-ed, 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, higher-ed, metacognition, prompt-engineering

> 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 · higher-ed, 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, stem-education, higher-ed, 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, higher-ed, student-experience, feedback-loop

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, higher-ed, feedback-loop

A key part of developing large language model (LLM)-powered, automated tutoring tools is student simulation, i.e., using LLMs to role-play as students, which can facilitate tutor model evaluation and …

2026-05-29 · intelligent-tutoring, llm, student-experience, learning-analytics, personalized-learning

The widespread adoption of AI chatbots in education will drastically change learning, making responsible deployment a critical concern. While large language models (LLMs) might have access to sources …

2026-05-29 · llm, intelligent-tutoring, scaffolding, teacher-role, over-reliance

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, higher-ed, writing-education

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, design-thinking, dot-framework, higher-ed, 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, higher-ed, generative-ai, student-experience

**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, equity, generative-ai, 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 · generative-ai, higher-ed, writing-education, faculty-development, automated-grading

**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, generative-ai, policy-maker, regulation

**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, 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, 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 · generative-ai, higher-ed, special-education, equity, bias-mitigation

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, higher-ed, agentic-ai, faculty-development

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, higher-ed, scaffolding

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 multicenter study (N=243 European secondary students) systematically challenges the 'Digital Native' paradigm by demonstrating a severe confidence-competence gap in digital and AI literacy. Stude…

2026-05-26 · k-12, student-experience, equity, efficacy-study, genai-minoritized-knowledges-disability

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, higher-ed, policy-maker

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, higher-ed, affective-computing, self-regulated-learning

This study embedded undisclosed AI agents as teammates in synchronous text-based group interactions across analytical, creative, and ethical tasks with 786 participants making 1,572 identity judgments…

2026-05-25 · over-reliance, student-experience, llm, affective-computing, rag

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 · generative-ai, over-reliance, 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 · generative-ai, over-reliance, stem-education, k-12, higher-ed

**Annie Yuan (2026)**. arXiv preprint (cs.HC). Current AI-driven educational systems primarily rely on behavioural analytics and performance metrics, lacking the ability to model expert cognition used…

2026-05-22 · learning-analytics, intelligent-tutoring, adaptive-learning, student-experience, teacher-role

📄 [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

Theodora and Tselios (2026) provide a policy-oriented synthesis of AI's dual role in adult and [[lifelong-learning]] contexts — as both an enabler of personalized, scalable education and a source of s…

2026-05-21 · lifelong-learning, policy-maker, equity, intelligent-tutoring, learning-analytics

Benedetti (2026) introduces a theoretically grounded framework for AI-enabled pedagogical accompaniment that explicitly centers human agency — an approach described as "human-in-command" rather than m…

2026-05-21 · intelligent-tutoring, scaffolding, human-in-the-loop, pedagogical-safety, student-experience

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, higher-ed, cs-education, over-reliance, academic-integrity

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, higher-ed, student-experience, creative-thinking, personalized-learning

📄 DOI: 10.1016/j.caeai.2022.100074 This paper introduces **XAI-ED**, a framework for explainable AI that is purpose-built for education. It argues that while XAI in education shares common ground wit…

2026-05-21 · intelligent-tutoring, learning-analytics, bias-mitigation, equity, privacy

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 · student-experience, higher-ed, 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, higher-ed, stem-education, institutional-change, pedagogy

Teachers virtually never test AI tutoring bots before student deployment; PromptDecipher enforces QA as a first-class activity by letting teachers edit bot responses directly. PromptDecipher addresses…

2026-05-19 · intelligent-tutoring, llm, teacher-role, faculty-development, edtech-platform

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, generative-ai, hallucination-risk, student-experience, bias-mitigation

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, generative-ai, benchmark, scaffolding

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 · faculty-development, generative-ai, multi-agent, scaffolding, teacher-role

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, generative-ai, student-experience, affective-computing

> 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 · boundary-object, generative-ai, 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, generative-ai, formative-assessment, higher-ed, learning-analytics

> Computational Thinking Development in AI Agent Creation: A Mixed-Methods Study **Sun et al. (2026)** — Multiple institutions. arXiv cs.CY.…

2026-05-15 · k-12, stem-education, scaffolding, personalized-learning, k-12-ai-education

> 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, generative-ai, learning-analytics

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, higher-ed, student-experience, faculty-development, faculty-development-genai

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, generative-ai, equity-in-ai-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, teacher-ai-competency, k-12-ai-education

This paper presents a workflow-aligned framework for preparing students to use AI in materials discovery. The authors argue that in materials science, the limiting factor is no longer only algorithmic…

2026-05-12 · curriculum-design, equity, metacognition, stem-education, equity-in-ai-education

This study examines the disconnect between **ethics education** and real-world decision-making among 129 computer science students and recent graduates during their job searches. Despite receiving con…

2026-05-12 · ai-education, cs-education, ethics, regulation, faculty-development

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

> A global perspective on AI in education readiness, framed around the insight that the real bottleneck is human and institutional capacity, not technical access. Based on a WEF (2026) synthesis of yo…

2026-05-09 · policy-maker, equity, k-12, teacher-role, teacher-ai-competency

> 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 · higher-ed, equity, 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 · higher-ed, faculty-development, administrator, market-analysis, policy-maker

> A yearlong global "premortem" by the Brookings Center for Universal Education (2026) examining generative AI's risks and benefits for students. Based on 500+ interviews across 50 countries, 400+ stu…

2026-05-09 · policy-maker, k-12, student-experience, regulation, llm

> An analysis of 310 AI-generated lesson plans (2,230 individual activities) produced by ChatGPT (GPT-4o), Gemini (1.5 Flash), and Copilot (GPT-4 based) for all 53 Massachusetts eighth-grade civics st…

2026-05-09 · k-12, teacher-role, formative-assessment, equity, pedagogical-llm-training

> 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 · higher-ed, 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, higher-ed, formative-assessment, metacognition

> A NASBE/CRPE policy analysis (May 2026) examining how US states can shape conditions for effective teacher AI adoption — setting guardrails, providing resources, and building capacity without microm…

2026-05-09 · regulation, teacher-role, k-12, policy-maker, faculty-development

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

2026-05-09 · administrator, policy-maker, higher-ed, generative-ai, llm

> 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, higher-ed, scaffolding, stem-education

>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 · assessment, assessment-validity, k-12, self-regulated-learning, faculty-development

> A bibliometric–systematic review of AI tools in STEM education: > Systematic review (2005–2025) mapping how AI tools scaffold and co-regulate metacognitive development in STEM classrooms through bib…

2026-05-08 · metacognition, stem-education, learning-analytics, intelligent-tutoring, posthumanist

> 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

> Embedding the Knowledge–Learning–Instruction (KLI) framework into multi-agent systems to act as sophisticated instructional designers for K-12 educators.…

2026-05-08 · agentic-ai, human-in-the-loop, k-12, pedagogical-safety, agentic-ai-ecosystems-higher-education

> While LLMs are increasingly used as teaching assistants, their teaching capability remains insufficiently evaluated — a critical gap in current AIED research. > Syllabus-grounded framework for measu…

2026-05-08 · llm, benchmark, formative-assessment, personalized-learning, feedback-loop

> **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, generative-ai

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, higher-ed

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, higher-ed, 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 · curriculum-design, equity, k-12, faculty-development, higher-ed

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 · faculty-development, k-12, higher-ed, generative-ai, student-experience

> Hardy & Kim (2026) identify a **cascading proxy** problem in AI-for-education evaluation: > The gap between what LLMs are *capable* of and what actually *benefits learners* — benchmark performance, …

2026-05-07 · llm, benchmark, efficacy-study, bias-mitigation, teacher-role

> 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 · higher-ed, k-12, generative-ai, llm, ai-education

> 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

> 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

> **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, higher-ed, 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, ethics, higher-ed, k-12, stem-education

> **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, generative-ai, learning-analytics

> **Synthesis:** Tzirides, Galla, Cope & Kalantzis (2025) introduce the "Thinking Through AI" framework combining cognitive labs, think-aloud protocols, and cyber-social methods. A pilot with 30 stude…

2025-01-26 · ai-education, writing-education, k-12, cognitive-offloading, learnlab