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. Can AI Guide Testing Without Generating Tests? A Comparative Study of AI-Assisted Unit Testing

    Oct 26, 2026Zihan Fang, Ron Asoulin-Handelman, Helen Wu +2Computer Science EducationGenerative AI in Education

  2. AdaTutor: Adaptive Tutoring through Pedagogical Strategy Selection

    Oct 26, 2026Rajeev Bhatt Ambati, Shashank Srivastava, Snigdha ChaturvediIntelligent Tutoring SystemsAdaptive Learning

  3. Incremental Predictive Value of LLM Tutoring Interactions for Student Performance

    Oct 24, 2026Zeyu Dong, Mikael Kwame Kuada, Asa Holley Buchakjian-Tweedy +1Educational Data MiningEducational Assessment

  4. Algorithmic drift in generative adaptive learning

    Oct 22, 2026Firuz Kamalov, Hana Sulieman, Ahmed El Sayed +2Algorithmic FairnessAdaptive Learning

  5. TutorCaseBench: A Case-Grounded Benchmark for Evaluating LLM Tutors in Supporting Students with Challenging Behaviors

    Oct 22, 2026Yeon Su Park, Chanyoung Park, Tae Soo Kim +5AI in EducationLLM Evaluation

  6. Acharya 2.0: An AI Tutor for Self-Learning Subjects in Hindi

    Oct 18, 2026Shantipriya Parida, Debasish Dhal, Sonal Khosla +2Educational QAIntelligent Tutoring Systems

  7. Multi-sourced AI Tutor for Non-Native English Speaker Students

    Oct 15, 2026Yiyin Shen, Xinyi Ai, Weibing Wang +2Intelligent Tutoring SystemsAI in Education

  8. A Unified Response Framework for Questions and Tutoring Dialogues

    Oct 14, 2026Zhangqi Duan, Simon Woodhead, Maya Miller-Vedam +1Educational AssessmentIntelligent Tutoring Systems

  9. Do LLM Tutors Actually Teach? A Process-Centered Synthesis of the Tutoring Loop

    Oct 11, 2026Sayantan Adak, Rima Hazra, Koyel Mukherjee +2Intelligent Tutoring SystemsLLM Evaluation

  10. SocraticRepair: Planning-Guided Socratic Tutoring for Program Debugging and Misconception Repair

    Oct 10, 2026Mykhailo Kopytskyi, Jianhua Yang, Mir SeyedebrahimiSocratic TutoringIntelligent Tutoring Systems

  11. RegulaTutor: A Theory-Informed Framework for Long-Term Personalized Learning

    Oct 9, 2026Yonggang Li, Boqian Han, Rui Sheng +2Self-Regulated LearningPersonalized Learning

  12. ILM: An AI-Powered Storytelling Educational Tool

    Oct 8, 2026Suhaila Mohammed, Abdelaziz Serour, Allison LahnalaIntelligent Tutoring SystemsInteractive Storytelling

  13. TutorLoop: Regulating Student Learning Behaviors via Sensor-in-the-Loop Generative Feedback

    Oct 7, 2026Songlin Xu, Xinyu ZhangIntelligent Tutoring SystemsAI in Education

  14. Sherpa: Teaching LLMs to Teach Adaptively

    Oct 6, 2026Weixian Xu, Yanzhe Zhang, Zora Zhiruo Wang +2RL for Language ModelsIntelligent Tutoring Systems

  15. DICE: Decoupling Capability from Intervention Necessity in LLM Tutoring

    Oct 4, 2026Sayantan Pal, Kaiyi Ji, Rohini K. SrihariIntelligent Tutoring SystemsAI in Education

  16. Examining Variation in How Guided AI Tutors Resolve Student Impasses

    Sep 29, 2026Bakhtawar Ahtisham, Kirk Vanacore, Alessandra Napoli +5Intelligent Tutoring SystemsEducational Data Mining

  17. Towards Breaking the Learning System Wall Using Multimodal Tutoring Transcriptions

    Sep 29, 2026Danielle R. Thomas, Marie Cynthia Abijuru Kamikazi, Ashish Gurung +5Intelligent Tutoring SystemsMultimodal Learning

  18. DeepEdu-v1: Efficient and Scalable Agentic LLMs for Vietnamese Education

    Sep 25, 2026Quang Nguyen, Hieu Nguyen, Hien Hoang +3Intelligent Tutoring SystemsGenerative AI in Education

  19. REAT: A Reflective Experience-Augmented Tutoring Framework for Multi-turn Mathematical Instruction

    Sep 24, 2026Jianheng Zhou, Chaoli Zhang, Xingjun Wei +6Intelligent Tutoring SystemsAdaptive RAG

  20. From Content Generation to Learning Support: Pedagogy-Guided Generative Video Tutors for STEM Learning

    Sep 21, 2026Xinchen Ma, Shuimu Wang, Gaole He +4Intelligent Tutoring SystemsAI in Education

  21. OmniEdu: Open Foundation Models for Learning and Teaching

    Sep 19, 2026Hao Liang, Qihan Lin, Meiyi Qiang +5Generative AI in EducationLanguage Modeling

  22. Adaptive Scaffolding Needs Contingency: An AI Tutor That Escalates and Fades on What the Learner Does

    Sep 19, 2026Xinmeng Hou, Yuxuan Weng, Chin Hsien Yeh +5Instructional ScaffoldingIntelligent Tutoring Systems

  23. Correct Diagnosis, Better Feedback: A Symbolic-Verifier for Faithful LLM Tutoring Feedback in Logic Proofs

    Sep 18, 2026Tahreem Yasir, Arnav Mody, Xioayi Tian +1Intelligent Tutoring SystemsLanguage Model Error Detection

  24. PersonaPath: Towards Knowledge-Centric Personalized Learning Path Planning

    Sep 16, 2026Yu Liu, Zeming Liu, Tianle Zhang +6Intelligent Tutoring SystemsLLM Planning

  25. LLMersion: A Local-First AI Agent Framework for Low-Cost Home Language Learning toward Educational Equity

    Sep 12, 2026Qiming Guo, Jinwen Tang, Xingran Huang +3Computer-Assisted Language LearningAI in Education