🏷️ personalized-learning

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

2026-08-13 · language-learning, generative-ai, motivation, self-regulated-learning, higher-ed

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

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

> **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, k-12, llm, efficacy-study

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

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

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

2026-08-13 · generative-ai, motivation, self-determination-theory, engagement-metrics, higher-ed

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

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

> **Synthesis:** Xu et al. (2026) present an agentic AI-driven immersive simulation for training in **High Dose Rate (HDR) brachytherapy**, integrating VR and mobile computing to create a high-fidelit…

2026-08-13 · simulation, health-education, rag, agentic-ai, professional-training

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

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

> **Synthesis:** This dissertation develops an AI-guided learning framework that supports three interconnected stages — Consume, Understand, and Imitate — with three deep-learning systems for audio/vi…

2026-08-12 · language-learning, feedback-loop, self-regulated-learning, multimodal, student-modeling

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

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

> **Synthesis:** 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, ai-literacy

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

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

> **Synthesis:** ProPRL advances [[adaptive-learning|prerequisite relation learning]] by going beyond conventional link prediction to adaptively integrate complementary educational evidence from conce…

2026-08-09 · adaptive-learning, knowledge-tracing, student-modeling, ai-education, llm

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

2026-08-09 · cognitive-diagnosis, knowledge-tracing, student-modeling, llm, generative-ai

> **Adaptive learning** — AI-driven educational systems that adjust content, pacing, and instructional strategies based on individual learner characteristics and performance. Adaptive learning is the …

2026-08-09 · knowledge-tracing, intelligent-tutoring, student-modeling, scaffolding, cognitive-diagnosis

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

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

> **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, k-12, ethics, regulation, equity

> **Student modeling** — the broad practice of representing learner characteristics including knowledge, skills, affective states, engagement, and preferences in computational form. Student modeling i…

2026-08-09 · student-modeling, knowledge-tracing, adaptive-learning, learning-analytics, intelligent-tutoring

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

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

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

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

> **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, k-12, math-education, adaptive-learning, student-experience

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

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

> **When Agents Learn to Be You: Benchmarking Privacy Leakage, Impersonation Risk, and Defenses in Persona Skills** — Introduces AntiSkillBench with 7,500 persona-grounded dialogue traces from 50 beha…

2026-08-05 · privacy, agentic-ai, student-ai-interaction, bias-mitigation, benchmark

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

2026-08-04 · llm, agentic-ai, intelligent-tutoring, rag, question-generation

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

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

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

2026-07-31 · generative-ai, llm, educational-theory

Presents a 24,795-example multilingual instruction dataset for teaching LLMs to deliver educational content grounded in Indian Knowledge Systems. Spans seven languages and bridges a gap in non-Western…

2026-07-31 · llm, educational-theory, language-learning, open-source

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, scaffolding

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

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

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

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

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

2026-07-30 · stem-education, learning-analytics, student-experience, adaptive-learning, k-12

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

> **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 · intelligent-tutoring, student-modeling, llm, ai-tutoring, affective-tutoring

> **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, k-12

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, k-12, equity

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

2026-07-16 · llm, generative-ai, intelligent-tutoring, higher-ed, stem-education

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

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

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

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

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, self-regulated-learning

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

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

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

2026-07-02 · generative-ai, intelligent-tutoring, k-12, equity, llm-in-education

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

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

Siyan et al. (2026) conduct a carefully controlled experiment isolating the effect of empathetic language in LLM-powered physical activity coaching chatbots over a longitudinal deployment. While the e…

2026-06-30 · affective-computing, feedback-loop, llm, student-experience, affective-tutoring

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

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

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

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

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, ai-literacy

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

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

Scheinberg et al. (2026) analyze 78 university learners of German across four sites completing a counterbalanced spot-the-difference task with both a human peer and a real-time AI partner. Using diari…

2026-06-23 · language-learning, llm, intelligent-tutoring, student-experience

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

2026-06-23 · llm, generative-ai, scaffolding, higher-ed

Nagai et al. (2026) tackle the practical problem that many real-world educational datasets contain only single-time-point assessments (snapshots) without temporal information, making standard time-ser…

2026-06-23 · student-modeling, knowledge-tracing, adaptive-learning, learning-analytics, formative-assessment

> **Knowledge tracing** — modeling what learners know over time by tracking their performance on exercises and predicting future mastery. It is the wiki's richest modeling thread, spanning Bayesian, d…

2026-06-23 · knowledge-tracing, learning-analytics, intelligent-tutoring, adaptive-learning, student-modeling

> **Naaz Sibia, Jessica Wen, Amber Richardson, Yashika Jain, Khushi Malik, Bogdan Simion, Carolina Nobre, Angela Zavaleta Bernuy, Andrew Petersen, Michael Liut** (2026). ICER 2026…

2026-06-19 · cs-education, student-experience, scaffolding, active-learning, feedback-loop

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

2026-06-19 · intelligent-tutoring, llm, k-12, 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 · adaptive-learning, k-12, teacher-role, generative-ai, ai-literacy-assessment-misalignment

> 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 · adaptive-learning, ai-literacy, higher-ed, engagement-metrics, student-experience

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

2026-06-17 · llm, generative-ai, higher-ed, intelligent-tutoring, pedagogical-llm-training

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

2026-06-17 · intelligent-tutoring, scaffolding, k-12, llm

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

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

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 · scaffolding, k-12, higher-ed, hallucination-risk, equity

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

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

> 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 · adaptive-learning, edtech-platform, student-experience, equity, learning-analytics

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, k-12, assessment, student-experience

**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, scaffolding, higher-ed, self-regulated-learning

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

2026-06-10 · k-12, adaptive-learning, formative-assessment, intelligent-tutoring, 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 · k-12, ai-literacy, stem-education, metacognition, scaffolding

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

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

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, ai-literacy, 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 · ai-literacy, higher-ed, curriculum-design, ethics, instructional-design

> **Synthesis:** Fair and explainable educational recommendations with a hybrid Graph-GRU framework…

2026-06-03 · ai-education, bias-mitigation, learning-analytics

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

2026-06-01 · intelligent-tutoring, llm, special-education, reinforcement-learning, k-12

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, higher-ed, feedback-loop, student-experience

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, reinforcement-learning

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

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

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, ai-literacy

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

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

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

> 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, ai-literacy, stem-education, scaffolding, k-12-ai-education

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

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

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

2026-05-15 · higher-ed, generative-ai, llm, edtech-platform, culturally-relevant-pedagogy

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, k-12, 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, k-12, ai-literacy, generative-ai

This paper bridges LLM-based dialogue tutoring and interpretable student modeling. By mapping opaque LLM representations to **Item Response Theory** parameters — student ability (θ) and question diffi…

2026-05-13 · knowledge-tracing, intelligent-tutoring, llm, feedback-loop

This paper addresses a critical but under-examined issue in KT systems: **selection bias** from non-random exercise recommendations. Prior KT methods train on observed logs using standard empirical ri…

2026-05-13 · knowledge-tracing, learning-analytics, intelligent-tutoring, student-experience

**Cognitive Agent Compilation (CAC)** is a framework that uses a strong teacher LLM to compile problem-solving knowledge into an explicit, inspectable target agent. Unlike end-to-end LLM tutoring appr…

2026-05-11 · intelligent-tutoring, llm, adaptive-learning, pedagogical-llm-training, adaptive-learning-systems

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

2026-05-11 · intelligent-tutoring, generative-ai, llm, scaffolding, feedback-loop

> A set of 19 empirically-grounded design guidelines for AI-supported learning technologies tailored to adult learners, synthesized by Reddig et al. (2026) from longitudinal deployment data at a US na…

2026-05-09 · lifelong-learning, adaptive-learning, faculty-development, edtech-platform, human-in-the-loop-ai

> A design framework for LLM-powered educational agents that prioritize durable learning over short-term task performance. Introduced by Khosravi et al. (2026), AI learning companions are defined as a…

2026-05-09 · llm, adaptive-learning, metacognition, student-experience, self-regulated-learning

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

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

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

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

> 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 · k-12, intelligent-tutoring, llm, student-experience, self-regulated-learning

> 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, feedback-loop, ai-literacy

> 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, learning-analytics, k-12, llm

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

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

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

2026-05-07 · intelligent-tutoring, llm, generative-ai, scaffolding, adaptive-learning

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 · intelligent-tutoring, adaptive-learning, ai-education, llm, higher-ed

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

2026-05-07 · self-regulated-learning, metacognition, scaffolding, k-12, higher-ed

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

2026-05-05 · automated-grading, writing-education, llm, ai-education, higher-ed

> **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, generative-ai, learning-analytics, intelligent-tutoring