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Who cites «CLASS: A Design Framework for Building Intelligent Tutoring Systems Based on Learning Science principles»

36 papers of our library cite it (of the 149,439 whose bibliographies we read) · 13 with a page here, the most cited first · ← back to «CLASS: A Design Framework for Building Intelligent Tutoring Systems Based on Learning Science principles»

  1. Simulating Classroom Education with LLM-Empowered AgentsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Zheyuan Zhang, Daniel Zhang-Li, Jifan Yu, et al.2025 · 84 citations
  2. AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and GuardrailsACM Conference on Learning @ Scale (L@S)Sankalan Pal Chowdhury, Vilém Zouhar, Mrinmaya Sachan2024 · 66 citations
  3. Pedagogical Alignment of Large Language ModelsFindings of the Association for Computational Linguistics: EMNLP 2024Shashank Sonkar, Kangqi Ni, Sapana Chaudhary, et al.2024 · 54 citations
  4. Training LLM-Based Tutors to Improve Student Learning Outcomes in DialoguesLecture notes in computer scienceAlexander Scarlatos, Naiming Liu, Jaewook Lee, et al.2025 · 38 citations
  5. Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model TutorsConference on Empirical Methods in Natural Language Processing (EMNLP)Nico Daheim, Jakub Macina, Manu Kapur, et al.2024 · 35 citations
  6. MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM TutorsConference on Empirical Methods in Natural Language Processing (EMNLP)Jakub Macina, Nico Daheim, Ido Hakimi, et al.2025 · 33 citations
  7. From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)David Dinucu-Jianu, Jakub Macina, Nico Daheim, et al.2025 · 19 citations
  8. Novice Learner and Expert Tutor: Evaluating Math Reasoning Abilities of Large Language Models with MisconceptionsarXiv:2310.02439Naiming Liu, Shashank Sonkar, Zichao Wang, et al.2023 · 14 citations
  9. A Review of Incorporating Psychological Theories in LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Zizhou Liu, Ziwei Gong, Lin Ai, et al.2026 · 1 citation
  10. Evaluating Answer Leakage Robustness of LLM Tutors against Adversarial Student AttacksAnnual Meeting of the Association for Computational Linguistics (ACL)Jin Zhao, Marta Knežević, Tanja Käser2026 · 1 citation
  11. PATS: Personality-Aware Teaching Strategies with Large Language Model TutorsFindings of the Association for Computational LinguisticsDonya Rooein, Sankalan Pal Chowdhury, Mariia Eremeeva, et al.2026 · 1 citation
  12. CogNet-KG: Empowering Tutoring Dialogues with a Cognitively-Structured Knowledge Graph for STEM LearningFindings of the Association for Computational LinguisticsDing Yu, Yu Lu, Tengju Li, et al.2026
  13. Opportunities and Challenges of LLMs in Education: An NLP PerspectiveWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Sowmya Vajjala, Bashar Alhafni, Stefano Banno, et al.2026

23 more papers of our library cite it; they have no page here yet.

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