🏷️ adaptive-learning-systems

> **ProPACT** (Proactive AI-Driven Adaptive Collaborative Tutor) is an AI-driven adaptive tutoring system for pair programming that **treats collaboration itself as the object of instruction.** Unlike…

2026-07-29 · pair-programming, collaborative-learning, cs-education, rag, 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, k-12, teacher-role, generative-ai

> 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, ai-literacy, higher-ed, engagement-metrics

StanBKT introduces an open-source Python package for Bayesian Knowledge Tracing (BKT) that moves beyond traditional expectation-maximization (EM) point estimates to full Bayesian inference via Stan. T…

2026-05-25 · intelligent-tutoring, learning-analytics, adaptive-learning, benchmark, open-source

Serious games are widely used for learning and training across domains such as healthcare, defense, and education. This chapter examines how contemporary AI approaches may support real-time instructio…

2026-05-22 · intelligent-tutoring, generative-ai, adaptive-learning, edtech-platform, professional-training

**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

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

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

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

This paper proposes **MBP-KT**, which transforms raw learner interaction sequences into structured **meta-behavioral patterns** before extracting collaborative signals. Raw sequences contain redundant…

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

Adaptive learning systems produce substantial learning gains, yet many students engage too briefly or superficially to benefit. This paper addresses the central challenge of **measuring student effort…

2026-05-12 · adaptive-learning, assessment, engagement-metrics, learning-analytics, 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, personalized-learning, pedagogical-llm-training

> 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, personalized-learning, adaptive-learning, faculty-development, edtech-platform

> 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

> **EduGage** (Leng et al., 2026) addresses a core challenge: in online/video-based learning, **learners must self-regulate** their engagement with instructional materials. > Sensor-based momentary as…

2026-05-08 · adaptive-learning, learning-analytics, affective-computing, higher-ed, feedback-loop

> Key limitations exist in both LLM-based tutoring and conventional Deep Knowledge Tracing (DKT): > Combining neural networks with symbolic educational knowledge for interpretable, data-efficient, and…

2026-05-08 · intelligent-tutoring, learning-analytics, adaptive-learning, pedagogical-safety, mastery-learning

> As reinforcement learning personalizes instruction in intelligent tutoring systems, there is no formal framework for pedagogical safety — a critical gap. > First formal framework for defining and de…

2026-05-08 · intelligent-tutoring, pedagogical-safety, adaptive-learning, reinforcement-learning, metacognition

> **SCRIPT** (Deriyeva, Dannath, Paassen, 2026) implements an intelligent tutoring system for **Python programming** in a German university context, filling a gap in prior ITS which rarely supported P…

2026-05-08 · intelligent-tutoring, stem-education, higher-ed, adaptive-learning, formative-assessment

> **From Prototype to Classroom** (Elhaimeur & Chrisochoides, 2026) describes a tutoring system for quantum computing that bridges the gap between dense mathematical formalism and limited qualified in…

2026-05-08 · adaptive-learning, higher-ed, intelligent-tutoring, knowledge-tracing, stem-education

> **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

> A design framework for educational AI systems structured around four agentic paradigms: **reflection**, **planning**, **tool use**, and **multi-agent collaboration**. Proposed by Kamalov et al. (202…

2026-05-07 · agentic-ai, ai-education, benchmark, intelligent-tutoring, pedagogical-llm-training

> 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, k-12

> ProPACT constructs a real-time model of pair collaboration using three signals: > Most adaptive learning systems are individual-centric and reactive. **ProPACT** treats **collaboration itself as the…

2026-05-07 · intelligent-tutoring, adaptive-learning, scaffolding, higher-ed, formative-assessment

> 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, k-12

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

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

> Ostrowska, Kukla & Majstrak (2026) present an AI tutoring system **integrated into the Moodle LMS** designed to scaffold students from surface-level fact recall to deep conceptual understanding thro…

2026-05-07 · intelligent-tutoring, higher-ed, edtech-platform, llm, scaffolding