🏷️ student-modeling

> **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 · llm, intelligent-tutoring, learning-analytics, personalized-learning, 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 · personalized-learning, language-learning, feedback-loop, self-regulated-learning, multimodal

> **Synthesis:** This paper fine-tunes a multimodal large language model (Qwen3.5-based) to reconstruct multiple-choice model (MCM) and three-parameter logistic (3PL) item characteristic curves. By le…

2026-08-12 · item-response-theory, educational-measurement, llm, multimodal, automated-assessment

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

2026-08-12 · simulating-students, generative-ai, llm, knowledge-graph, cognitive-diagnosis

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

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

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

2026-08-12 · simulating-students, llm, epistemic-state, evaluation, generative-ai

> **Cognitive diagnosis** — the inference of a learner's latent knowledge state — the specific concepts, skills, and misconceptions they have or lack — from their responses or behavior. It is the asse…

2026-08-12 · educational-measurement, knowledge-tracing, assessment, intelligent-tutoring, learning-analytics

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

2026-08-12 · simulation, knowledge-tracing, cognitive-diagnosis, agentic-ai, pedagogical-agent

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

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

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

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

> **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, ai-education, personalized-learning, 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, llm, generative-ai, adaptive-learning

> **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, personalized-learning, intelligent-tutoring, scaffolding, cognitive-diagnosis

> **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, knowledge-tracing

> **Knowledge graph** — a structured representation of concepts and their relationships used to model domain knowledge, student understanding, and learning dependencies in AI in education systems. Kno…

2026-08-09 · knowledge-tracing, learning-analytics, domain-modeling, ai-education

> **Learning analytics** — the measurement, collection, analysis, and reporting of data about learners and their contexts for the purpose of understanding and optimizing learning. AI has transformed l…

2026-08-09 · knowledge-tracing, formative-assessment, privacy, edtech-platform, engagement-metrics

> **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 · knowledge-tracing, adaptive-learning, personalized-learning, learning-analytics, intelligent-tutoring

> **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, personalized-learning, higher-ed, predictive-modeling, learning-analytics

> **EduClaw-Bench: A Long-Horizon Benchmark for Pedagogical LLM Agents with Simulated Learners** — Introduces a 30-day long-horizon benchmark for pedagogical LLM agents using simulated learners ground…

2026-08-05 · intelligent-tutoring, llm, agentic-ai, benchmark, knowledge-tracing

> **Interpretable Knowledge Tracing** — A novel framework for dialogue-based Knowledge Tracing that explicitly models both student ability and tutor-turn difficulty using Item Response Theory, produci…

2026-07-29 · knowledge-tracing, interpretability, cold-start-knowledge-tracing-safeinsights, item-response-theory, ai-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, llm, ai-tutoring, affective-tutoring

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, benchmark

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

2026-06-25 · learning-analytics, higher-ed, engagement-metrics, efficacy-study, self-regulated-learning

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

2026-06-23 · learning-analytics, higher-ed, dropout-reduction, rct, llm

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, k-12

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 · knowledge-tracing, adaptive-learning, learning-analytics, formative-assessment, personalized-learning

> **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, personalized-learning

**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, benchmark, higher-ed, llm

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

2026-06-10 · knowledge-tracing, llm, higher-ed, learning-analytics, generative-ai