Intelligent Tutoring Systems

Also known as ITS

Overview

Intelligent tutoring systems use evidence about a learner’s knowledge, progress, and behavior to choose what to teach and how much help to provide. Established approaches include Bayesian knowledge tracing, item response theory, knowledge graphs, and reinforcement learning for selecting problems, hints, or learning paths; newer systems add conversational language models, retrieval from course materials, and specialized agents. Researchers evaluate these systems with tutoring benchmarks, simulated learners, classroom studies, and measures such as mastery, engagement, and transfer to independent work. A central challenge is ensuring that fluent, correct responses are also pedagogically appropriate: systems can misdiagnose reasoning, reveal answers too soon, or perform well in simulations without producing durable learning gains.

Latest papers

CardsList

154 papers17 papers in the last four weeks, down 6% on the four weeks before. 0.1% of all new papers.

  1. MC-CPO: Mastery-Conditioned Constrained Policy Optimization for Pedagogically Safe Intelligent Tutoring Systems

    Apr 5, 2026Oluseyi Olukola, Nick RahimiIntelligent Tutoring SystemsPolicy Learning

  2. Policy-Governed LLM Routing with Intent Matching for Instrument Laboratories

    Apr 3, 2026Emmanuel A. Olowe, Danial ChitnisLLM RoutingAI in Education

  3. Hierarchical Apprenticeship Learning from Imperfect Demonstrations with Evolving Rewards

    Mar 31, 2026Md Mirajul Islam, Rajesh Debnath, Adittya Soukarjya Saha +1Learning from Suboptimal DemonstrationsLearning from Demonstration

  4. From Domain Understanding to Design Readiness: a playbook for GenAI-supported learning in Software Engineering

    Mar 31, 2026Rafal WlodarskiAI in EducationGenerative AI in Education

  5. Kwame 2.0: Human-in-the-Loop Generative AI Teaching Assistant for Large Scale Online Coding Education in Africa

    Mar 31, 2026George Boateng, Samuel Boateng, Victor KumbolGenerative AI in EducationIntelligent Tutoring Systems

  6. REFINE: Real-world Exploration of Interactive Feedback and Student Behaviour

    Mar 31, 2026Fares Fawzi, Seyed Parsa Neshaei, Marta Knezevic +2Educational Feedback GenerationGenerative AI in Education

  7. Evaluating a Data-Driven Redesign Process for Intelligent Tutoring Systems

    Mar 31, 2026Qianru Lyu, Conrad Borchers, Meng Xia +4Mathematics EducationEducational Technology

  8. SLOW: Strategic Logical-inference Open Workspace for Cognitive Adaptation in AI Tutoring

    Mar 30, 2026Yuang Wei, Ruijia Li, Bo JiangIntelligent Tutoring SystemsAI in Education

  9. Instructor-Created Custom GPTs as Pedagogical Partners Fostering Immersion in Online Higher Education: Two Case Studies

    Mar 29, 2026Dennis Beck, Leonel MorgadoGenerative AI in EducationEducational Technology

  10. Heterogeneous Debate Engine: Identity-Grounded Cognitive Architecture for Resilient LLM-Based Ethical Tutoring

    Mar 28, 2026Jakub Masłowski, Jarosław A. ChudziakMulti-Agent DebateIntelligent Tutoring Systems

  11. Listen, Correct, and Feed Back: Spoken Pedagogical Feedback Generation

    Mar 28, 2026Junhong Liang, Yifan Lu, Ekaterina Kochmar +1Computer-Assisted Language LearningEducational Feedback Generation

  12. When Verification Hurts: Asymmetric Effects of Multi-Agent Feedback in Logic Proof Tutoring

    Mar 28, 2026Tahreem Yasir, Sutapa Dey Tithi, Benyamin Tabarsi +7Intelligent Tutoring SystemsLLM Evaluation

  13. Evaluating adaptive and generative AI-based feedback and recommendations in a knowledge-graph-integrated programming learning system

    Mar 26, 2026Lalita Na Nongkhai, Jingyun Wang, Adam Wynn +1AI in EducationGenerative AI in Education

  14. Representation Learning to Study Temporal Dynamics in Tutorial Scaffolding

    Mar 25, 2026Conrad Borchers, Jiayi Zhang, Ashish GurungInstructional ScaffoldingSemantic Alignment

  15. Towards Reward Modeling for AI Tutors in Math Mistake Remediation

    Mar 25, 2026Kseniia Petukhova, Ekaterina KochmarReward ModelingIntelligent Tutoring Systems

  16. ConceptKT: A Benchmark for Concept-Level Deficiency Prediction in Knowledge Tracing

    Mar 25, 2026Yu-Chen Kang, Yu-Chien Tang, An-Zi YenKnowledge TracingIntelligent Tutoring Systems

  17. From 50% to Mastery in 3 Days: A Low-Resource SOP for Localizing Graduate-Level AI Tutors via Shadow-RAG

    Mar 21, 2026Zonglin Yang, J. -H. Xie, Lining Zhang +2Generative AI in EducationIntelligent Tutoring Systems

  18. SafeTutors: Benchmarking Pedagogical Safety in AI Tutoring Systems

    Mar 18, 2026Rima Hazra, Bikram Ghuku, Ilona Marchenko +5Intelligent Tutoring SystemsAI Safety Evaluation

  19. Facial-Expression-Aware Prompting for Empathetic LLM Tutoring

    Mar 10, 2026Shuangquan Feng, Laura Fleig, Ruisen Tu +6Intelligent Tutoring SystemsEmotion-Aware Dialogue Generation

  20. Data-Driven Hints in Intelligent Tutoring Systems

    Mar 7, 2026Sutapa Dey Tithi, Kimia Fazeli, Dmitri Droujkov +3Intelligent Tutoring SystemsGenerative AI in Education

  21. PACE: A Personalized Adaptive Curriculum Engine for 9-1-1 Call-taker Training

    Mar 5, 2026Zirong Chen, Hongchao Zhang, Meiyi MaPersonalized LearningAdaptive Learning

  22. From Solver to Tutor: Evaluating the Pedagogical Intelligence of LLMs with KMP-Bench

    Mar 3, 2026Weikang Shi, Houxing Ren, Junting Pan +8Generative AI in EducationIntelligent Tutoring Systems

  23. The Aftermath of DrawEduMath: Vision Language Models Underperform with Struggling Students and Misdiagnose Errors

    Mar 1, 2026Li Lucy, Albert Zhang, Nathan Anderson +2AI in EducationVLM Evaluation

  24. Can AI be a Teaching Partner? Evaluating ChatGPT, Gemini, and DeepSeek across Three Teaching Strategies

    Feb 24, 2026Talita de Paula Cypriano de Souza, Shruti Mehta, Matheus Arataque Uema +2AI in EducationGenerative AI in Education

  25. Chat-Based Support Alone May Not Be Enough: Comparing Conversational and Embedded LLM Feedback for Mathematical Proof Learning

    Feb 21, 2026Eason Chen, Sophia Judicke, Kayla Beigh +18AI in EducationIntelligent Tutoring Systems

  26. ACE-TA: An Agentic Teaching Assistant for Grounded Q&A, Quiz Generation, and Code Tutoring

    Feb 20, 2026Himanshu Tripathi, Charlottee Crowell, Kaley Newlin +3Evidence-Grounded QAIntelligent Tutoring Systems