🏷️ k-12

> **Synthesis:** Udeshi et al. (2026), the team behind **Khanmigo** (Khan Academy's K-12 AI tutor, launched 2023), describe the metrics they use to measure AI tutoring quality and student engagement, …

2026-08-13 · ai-tutoring, intelligent-tutoring, llm, personalized-learning, efficacy-study

> **Synthesis:** Valls i Pou (2026) examines how computational thinking can enhance the effective integration of educational robotics into secondary school curricula. Arguing that educational robotics…

2026-08-13 · computational-thinking, educational-robotics, stem-education, curriculum, problem-solving

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

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

> **Synthesis:** Sanoubari, Fernandes, Rebello, Pan, Houston, and Dautenhahn (2026) present REMind, an educational robot-mediated role-play game designed to support anti-bullying bystander interventio…

2026-08-13 · social-robots, role-play, social-emotional-learning, anti-bullying, educational-robotics

> **Synthesis:** Li, Du, Sun, and colleagues (2026) design and evaluate RoboBlockly Studio, an integrated interactive system that combines block-based programming, a conversational AI teaching agent, …

2026-08-13 · computational-thinking, block-programming, educational-robotics, llm, programming-education

> **Block-based programming** — a visual programming paradigm in which learners build programs by snapping together graphical blocks (e.g., Scratch, Blockly) rather than typing text. Block-based envir…

2026-08-13 · block-programming, programming-education, computational-thinking, educational-robotics

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

2026-08-13 · educational-robotics, human-robot-interaction, computational-thinking, stem-education, higher-ed

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

2026-08-13 · programming-education, computational-thinking, cs-education, educational-robotics, higher-ed

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

2026-08-13 · project-based-learning, active-learning, collaborative-learning, educational-robotics, higher-ed

> **Storytelling in education** — the use of narrative as a pedagogical tool to engage learners, convey meaning, and support knowledge construction, creativity, and emotional connection. Storytelling …

2026-08-13 · storytelling, engagement, motivation, social-robots, creativity

> **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, generative-ai, ai-literacy, systematic-review, 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, generative-ai, cognitive-offloading, self-regulated-learning, student-experience

> **Synthesis:** This study developed the Writing Improvement and Smart Evaluation Agent (WISE Agent), an AI feedback tool targeting textual logic and perspective biases in student essays. A three-mon…

2026-08-10 · ai-generated-content, critical-thinking, writing, feedback, automated-grading

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

2026-08-10 · ai-literacy, teacher-ai-competency, faculty-development, pedagogical-llm-training, higher-ed

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

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

> **Synthesis:** 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, 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 paper develops an optimization framework for school network reorganization that integrates geographic, administrative, and educational criteria into an Integer Linear Programming…

2026-08-09 · ai-education, equity, simulation, systematic-review, policy

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

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

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

2026-08-09 · active-learning, instructional-design, student-experience, scaffolding, higher-ed

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

2026-08-09 · ai-literacy, ai-tutoring, generative-ai, llm, higher-ed

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

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

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

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

> **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, prompt-engineering, adaptive-learning

> **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

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

2026-08-09 · regulation, ai-governance-education, faculty-development, equity, higher-ed

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

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

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

2026-08-09 · teacher-ai-competency, teacher-role, ai-literacy, educational-policy-ai, higher-ed

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

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

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

2026-08-09 · language-learning, ai-education, generative-ai, writing-education, higher-ed

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

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

> **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, generative-ai

> **Pedagogical safety** — the design principle that AI education systems must protect learners from harm, including inappropriate content, unsafe advice, biased treatment, and manipulative interactio…

2026-08-09 · hallucination-risk, rag, ethics, regulation, ai-governance-education

> **Privacy** — the protection of student data, identity, and autonomy in AI-augmented learning environments. Privacy concerns intensify as AI systems collect increasingly granular behavioral data for…

2026-08-09 · learning-analytics, personalized-learning, ethics, regulation, equity

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

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

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

2026-08-09 · cs-education, math-education, physics-education, computational-thinking, higher-ed

> **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, ai-literacy, over-reliance

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

2026-08-09 · faculty-development, teacher-ai-competency, ai-literacy, higher-ed, scaffolding

> **Synthesis:** Zhang et al. (2026) introduce TutorMoments, a replay-based evaluation framework that tests whether LM tutors adapt their pedagogical actions to context — scaffolding when support is n…

2026-08-08 · intelligent-tutoring, scaffolding, llm, llm-evaluation, math-education

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

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

> **Synthesis:** 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 · ai-literacy, prompting-literacy, llm, ai-education, scenario-based-learning

> **Synthesis:** Examines AI-powered personalized learning in elementary fraction instruction through a systematic review, quantitative study (N=120), and qualitative teacher interviews. Found that AI…

2026-08-06 · ai-generated-content, personalized-learning, math-education, adaptive-learning, student-experience

> **Synthesis:** A three-semester, 999-student analysis of hint usage in a K-12 mathematics ITS finds that two simple, interpretable indicators—premature hint requests and superficial hint reading—are…

2026-08-06 · intelligent-tutoring, learning-analytics, hint-systems, math-education, gaming-the-system

> **Synthesis:** Semi-structured interviews with 12 teachers who tutored LLM-simulated students (MathDial dataset) reveal key authenticity gaps: overly complex language, lack of emotions, unnatural at…

2026-08-06 · llm, student-simulation, teacher-training, dialogue-tutoring, authenticity

> **Synthesis:** Pilot study on privacy-aware computer vision for classroom incident detection. Introduces a hybrid benchmark combining generative CCTV-style videos with real classroom pose data. Prop…

2026-08-06 · privacy, multimodal, classroom, benchmark, ai-detection

> **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

> **EduZone is an automated evaluation framework that generates contextually grounded adversarial interactions to probe LLM safety in K-12 education, revealing that models are more vulnerable to educa…

2026-08-04 · llm, pedagogical-safety, ai-tutor-safety-harms, benchmark, ai-governance-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 · generative-ai, pedagogy, tutoring, teacher-support, assessment

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

2026-08-04 · ai-literacy, generative-ai, 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, ai-literacy, student-experience

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

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

> **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, generative-ai, curriculum-design, teacher-role, global-south

> 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, generative-ai, student-experience, cognitive-offloading

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

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

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

2026-08-03 · edtech-platform, active-learning, engagement-metrics, blended-learning, higher-ed

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

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

> **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

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

> **SafeTutors** is a benchmark that jointly evaluates safety and pedagogy in AI tutoring systems across mathematics, physics, and chemistry. It argues that **tutoring safety is fundamentally differen…

2026-07-29 · pedagogical-safety, ai-tutoring, llm, scaffolding, regulation

> **MathBuddy: Affective Math Tutoring** — EMNLP 2025 Demo. An emotionally aware LLM-powered mathematics tutor that dynamically models student emotions from both conversational text and facial express…

2026-07-29 · math-education, affective-computing, intelligent-tutoring, pedagogical-llm-training, affective-tutoring

> **PersonaVLM** introduces an agent framework for long-term personalization of multimodal LLMs, enabling AI tutors to remember, reason about, and align with a learner's evolving preferences across hu…

2026-07-29 · personalized-learning, intelligent-tutoring, student-modeling, llm, ai-tutoring

> **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 · ai-literacy, evidence, zone-of-proximal-development, k-12-ai-education, ai-tutoring

This quasi-experimental mixed-methods longitudinal study (N=142) deploys a fully automated marking pipeline for handwritten mock examinations in A-Level sciences, removing the human-marking bottleneck…

2026-07-28 · assessment, automated-grading, stem-education, hybrid-e-assessment-semi-automated-grading, formative-assessment

> **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, generative-ai, learning-analytics

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

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

Kutti AI addresses a persistent equity gap in educational technology: nearly all edtech assumes a visual interface, excluding an estimated 1.4 million blind children worldwide. The system inverts this…

2026-07-27 · adaptive-learning, intelligent-tutoring, special-education, equity, personalized-learning

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 · generative-ai, over-reliance, stem-education, rct, learning-gains

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

2026-07-14 · ai-literacy, equity, policy-maker, higher-ed, faculty-development-genai

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

2026-07-14 · project-based-learning, higher-ed, active-learning, stem-education, scaffolding

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

2026-07-14 · intelligent-tutoring, automated-grading, llm, higher-ed

> **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

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 · teacher-role, ai-literacy, generative-ai, faculty-development, active-learning

Deploying LLM tutors in K-12 raises concerns around privacy, cost, and reliance on proprietary models, motivating small language models (SLMs) as an alternative. The authors introduce **CSTutorBench**…

2026-07-08 · llm, intelligent-tutoring, privacy, benchmark, cs-education

**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

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, active-learning, ai-literacy, 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 · teacher-role, student-experience, ai-literacy, student-ai-interaction, automated-grading

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

2026-07-02 · equity, generative-ai, pedagogical-safety, privacy, llm-in-education

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

2026-07-02 · generative-ai, intelligent-tutoring, equity, personalized-learning, llm-in-education

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

2026-07-02 · generative-ai, student-experience, affective-computing, adaptive-learning, llm-in-education

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

2026-07-02 · special-education, equity, adaptive-learning, higher-ed, llm-in-education

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, generative-ai, 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 · ai-literacy, metacognition, stem-education, student-experience, self-regulated-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, ai-literacy, equity, student-experience

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

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

📄 [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 · student-experience, llm, generative-ai, engagement-metrics, affective-computing

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

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

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, stem-education, scaffolding, ai-literacy, higher-ed

Imran and Bulathwela (2026) identify the 'correct answer trap' — automated feedback systems that judge only answer correctness reinforce rather than address misconceptions when students reach the righ…

2026-06-23 · formative-assessment, llm, automated-grading, student-modeling

Borchers (2026) reports on a 90-minute participatory design workshop with 12 U.S. middle school mathematics teachers using i-Ready Math weekly. Thematic analysis identified four recurring dimensions o…

2026-06-23 · teacher-role, student-experience, engagement-metrics, adaptive-learning

> **Luyang Fang, Yingchuan Zhang, Jongchan Park, Zhaoji Wang, Ping Ma, Xiaoming Zhai** (2026). arXiv cs.AI preprint…

2026-06-19 · automated-grading, stem-education, formative-assessment, efficacy-study, multi-representational-tools

> **Po-Chin Chang, Nicholas Hogan, Aske Plaat, Michiel T. van der Meer** (2026). arXiv cs.AI preprint…

2026-06-19 · intelligent-tutoring, llm, personalized-learning, scaffolding, adaptive-learning

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, teacher-role, generative-ai, ai-literacy-assessment-misalignment

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

2026-06-18 · learning-analytics, higher-ed, qualitative-research, edtech-platform, student-experience

> **Lan Luo, Anqi Wang, Muzhi Zhou, Junhua Zhu, Jie Cai, Ao Yu, Hui Pan** (2026). arXiv cs.HC…

2026-06-17 · intelligent-tutoring, scaffolding, personalized-learning, llm

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

2026-06-17 · higher-ed, intelligent-tutoring, student-experience, stem-education, human-ai-collaboration

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

2026-06-16 · higher-ed, llm, stem-education, student-experience, teacher-role

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

2026-06-16 · personalized-learning, scaffolding, higher-ed, hallucination-risk, equity

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

2026-06-16 · automated-grading, llm, formative-assessment, higher-ed, teacher-role

> Argues the dominant paradigm of runtime GenUI adaptation in EdTech is insufficient. Proposes design-time card-based GenUI where educational content is encoded as modality-agnostic semantic units and…

2026-06-16 · personalized-learning, adaptive-learning, edtech-platform, student-experience, equity

> 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 · ai-literacy, stem-education, equity, student-experience, learning-analytics

> Asks what is gained and lost when 'collaboration' is applied freely to human-AI interaction. Argues true collaboration requires symmetric/negotiated relationship, shared goals, low and shifting divi…

2026-06-16 · intelligent-tutoring, scaffolding, active-learning, student-experience, teacher-role

Standardized examinations are typically treated as uniform syllabus coverage problems. LearnOpt recovers stable latent cognitive structures diverging systematically from official syllabi, using LLM-ta…

2026-06-16 · learning-analytics, llm, personalized-learning, assessment, student-experience

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

2026-06-16 · higher-ed, llm, automated-grading, student-experience, stem-education

Studies whether public LLM tutoring benchmarks distinguish learning-supportive behavior from mere answer production. Proposes a lightweight diagnostic based on the gap between solving-oriented and ped…

2026-06-16 · intelligent-tutoring, llm, feedback-loop, scaffolding, benchmark

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

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

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

2026-06-16 · student-experience, higher-ed, academic-integrity, over-reliance, hallucination-risk

**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, llm, student-experience

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

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

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

2026-06-10 · adaptive-learning, personalized-learning, formative-assessment, intelligent-tutoring, edtech-platform

**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

**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, ai-literacy, policy-maker, higher-ed

**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

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 · ai-literacy, stem-education, personalized-learning, metacognition, scaffolding

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

2026-06-09 · llm, writing-education, formative-assessment, feedback-loop, higher-ed

Examines how 98 Grade-9 students across three German Gymnasium schools regulated their use of a Mistral-Large GenAI tutor while preparing for a math exam. Despite overwhelmingly selecting scaffolded s…

2026-06-09 · llm, self-regulated-learning, metacognition, student-experience, scaffolding

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 · student-ai-interaction, teacher-role, scaffolding, generative-ai, llm

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

2026-06-03 · ai-literacy, higher-ed, curriculum-design, ethics, instructional-design

> **Synthesis:** Balancing AI responsibility with privacy, safety, and utility: Unlearning in large language models for mathematics education…

2026-06-03 · llm, privacy, pedagogical-safety, intelligent-tutoring

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

2026-06-03 · ai-literacy, computational-thinking, instructional-design

> **Synthesis:** Vision-language models (VLMs) have been explored for visual programming, where they generate code to solve visual tasks. However, most prior work focuses on visual programming for pro…

2026-06-03 · benchmark, cs-education, multimodal

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

2026-06-03 · pedagogical-safety, llm, generative-ai

> **Authors:** Unggi Lee, Jihoi Na, Yeil Jeong, Haeun Park, Yeonju Jang (2026)…

2026-06-01 · intelligent-tutoring, llm, special-education, personalized-learning, reinforcement-learning

> **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

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

2026-05-28 · agentic-ai, ai-literacy, equity, generative-ai, higher-ed

**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 · higher-ed, ai-literacy, stem-education, equity, teacher-ai-competency

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 · ai-literacy, student-experience, equity, efficacy-study, genai-minoritized-knowledges-disability

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, higher-ed, learning-gains

Intelligent Tutoring Systems often grant learners shared control over skill and problem selection. We propose a simulation-based framework to examine how learner task-selection strategies and system c…

2026-05-22 · intelligent-tutoring, mastery-learning, adaptive-learning, engagement-metrics, simulation

📄 [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

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, ai-literacy

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, stem-education, teacher-role, generative-ai

Yang et al. (2026) tackle a fundamental tension in AI-augmented classrooms: how to balance teacher orchestration with student agency during dynamic transitions between individual and collaborative wor…

2026-05-21 · intelligent-tutoring, teacher-role, student-experience, human-in-the-loop, collaborative-learning

This paper tackles a core ITS challenge: predicting when students will disengage so tutors can intervene before it's too late. It introduces **engagement forecasting** as a supervised prediction task …

2026-05-20 · intelligent-tutoring, learning-analytics, engagement-metrics, efficacy-study, benchmark

🔗 [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, generative-ai, benchmark, scaffolding

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 · generative-ai, llm, writing-education, formative-assessment, 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, generative-ai, scaffolding, student-experience

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

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

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 · generative-ai, over-reliance, academic-integrity, efficacy-study, k-12-ai-education

In a large-scale quasi-experiment with 635 students (grades 5-8), hybrid human-AI tutoring produced substantial gains over AI-only tutoring: +25% time on task, +36% skill proficiency, and +61% standar…

2026-05-14 · intelligent-tutoring, personalized-learning, efficacy-study, learning-gains, equity-in-ai-education

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, ai-literacy, 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, ai-literacy, teacher-ai-competency, k-12-ai-education

> 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, teacher-role, ai-literacy, teacher-ai-competency

> 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, student-experience, regulation, ai-literacy, 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 · ai-literacy, teacher-role, formative-assessment, equity, pedagogical-llm-training

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

2026-05-09 · stem-education, higher-ed, active-learning, scaffolding, personalized-learning

> 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, policy-maker, faculty-development, equity-in-ai-education

> 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

>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, self-regulated-learning, faculty-development

> ECNUClaw is an open-source framework by Zhou, Li & Zhang (2026) for building **learner-profiled intelligent study companions** in K-12 education. The system maintains a **five-dimension learner prof…

2026-05-08 · personalized-learning, intelligent-tutoring, llm, student-experience, 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, pedagogy, equity, faculty-development, curriculum-design

> 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, ai-literacy, human-in-the-loop, pedagogical-safety, agentic-ai-ecosystems-higher-education

> Boateng et al. (2026) introduce **NSMQ Riddles**, a benchmark of 1.8K scientific and mathematical riddles drawn from 11 years of Ghana's **National Science and Maths Quiz** — a live TV competition f…

2026-05-08 · benchmark, stem-education, llm, efficacy-study, pedagogical-llm-training

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, ai-literacy, 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, 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, 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 · ai-literacy, faculty-development, higher-ed, generative-ai, student-experience

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

2026-05-07 · intelligent-tutoring, benchmark, efficacy-study, higher-ed, pedagogical-llm-training

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

2026-05-07 · pedagogical-safety, intelligent-tutoring, adaptive-learning, higher-ed, llm

> Two critical gaps in dialogue-based Knowledge Tracing (KT): > Most LLM-based dialogue tutoring systems produce opaque predictions. Huang et al. map raw LLM logits into **student ability (θ)** and **…

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

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

2026-05-07 · metacognition, over-reliance, llm, higher-ed, academic-integrity

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

2026-05-07 · llm, intelligent-tutoring, stem-education, higher-ed, equity

> 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, higher-ed

> **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, generative-ai, llm, ai-education

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

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

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

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

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

2026-05-07 · metacognition, self-regulated-learning, formative-assessment, higher-ed, scaffolding

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

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

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

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

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

2026-05-07 · self-regulated-learning, metacognition, scaffolding, higher-ed, formative-assessment

> **Transfer of Learning** — the extent to which knowledge or skills acquired in one context (e.g., practice with an AI tool) persist and apply in a different context (e.g., independent performance wi…

2026-05-07 · transfer-of-learning, metacognition, cognitive-load-theory, desirable-difficulties, ai-tutoring

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

2026-03-05 · ai-education, ai-literacy, ethics, higher-ed, stem-education

> **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, ai-literacy, cognitive-offloading, learnlab