--- title: "Who cites CLASS: A Design Framework for — 36 citing papers" description: "36 papers of the Elamur Research library cite «CLASS: A Design Framework for Building Intelligent Tutoring Systems Based on Learning…" canonical: "https://research.elamur.ai/free/en/papers/sonkar-2023-class-design-framework-building-intelligent/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/sonkar-2023-class-design-framework-building-intelligent/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [CLASS: A Design Framework for Building…](https://md.research.elamur.ai/free/en/papers/sonkar-2023-class-design-framework-building-intelligent/) / cited by # 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»](https://md.research.elamur.ai/free/en/papers/sonkar-2023-class-design-framework-building-intelligent/) 1. **[Simulating Classroom Education with LLM-Empowered Agents](https://md.research.elamur.ai/free/en/papers/zhang-2025-simulating-classroom-education-llm-empowered/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/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 Guardrails](https://md.research.elamur.ai/free/en/papers/chowdhury-2024-autotutor-meets-large-language-models/) [ACM Conference on Learning @ Scale (L@S)](https://md.research.elamur.ai/free/en/venues/acm-conference-on-learning-scale-l-s/)**Sankalan Pal Chowdhury, Vilém Zouhar, Mrinmaya Sachan*2024 · 66 citations* 3. [**Pedagogical Alignment of Large Language Models Findings of the Association for Computational Linguistics: EMNLP 2024**Shashank Sonkar, Kangqi Ni, Sapana Chaudhary, et al.*2024 · 54 citations*](https://md.research.elamur.ai/free/en/papers/sonkar-2024-pedagogical-alignment-large-language-models/) 4. **[Training LLM-Based Tutors to Improve Student Learning Outcomes in Dialogues](https://md.research.elamur.ai/free/en/papers/scarlatos-2025-training-llm-based-tutors-improve/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Alexander Scarlatos, Naiming Liu, Jaewook Lee, et al.*2025 · 38 citations* 5. **[Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors](https://md.research.elamur.ai/free/en/papers/daheim-2024-stepwise-verification-remediation-student-reasoning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Nico Daheim, Jakub Macina, Manu Kapur, et al.*2024 · 35 citations* 6. **[MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors](https://md.research.elamur.ai/free/en/papers/macina-2025-mathtutorbench-benchmark-measuring-open-ended/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/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 Learning](https://md.research.elamur.ai/free/en/papers/jianu-2025-problem-solving-teaching-problem-solving/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/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 Misconceptions arXiv:2310.02439**Naiming Liu, Shashank Sonkar, Zichao Wang, et al.*2023 · 14 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-novice-learner-expert-tutor-evaluating/) 9. **[A Review of Incorporating Psychological Theories in LLMs](https://md.research.elamur.ai/free/en/papers/liu-2026-review-incorporating-psychological-theories-llms/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Zizhou Liu, Ziwei Gong, Lin Ai, et al.*2026 · 1 citation* 10. **[Evaluating Answer Leakage Robustness of LLM Tutors against Adversarial Student Attacks](https://md.research.elamur.ai/free/en/papers/zhao-2026-evaluating-answer-leakage-robustness-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jin Zhao, Marta Knežević, Tanja Käser*2026 · 1 citation* 11. **[PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors](https://md.research.elamur.ai/free/en/papers/rooein-2026-pats-personality-aware-teaching-strategies/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Donya 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 Learning](https://md.research.elamur.ai/free/en/papers/yu-2026-cognet-kg-empowering-tutoring-dialogues/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ding Yu, Yu Lu, Tengju Li, et al.*2026* 13. **[Opportunities and Challenges of LLMs in Education: An NLP Perspective](https://md.research.elamur.ai/free/en/papers/vajjala-2026-opportunities-challenges-llms-education-nlp/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Sowmya Vajjala, Bashar Alhafni, Stefano Banno, et al.*2026* 23 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/sonkar-2023-class-design-framework-building-intelligent/) — CLASS: A Design Framework for Building Intelligent Tutoring Systems Based on Learning Science principles