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Intelligent tutoring agents powered by large language models (LLMs) have been increasingly explored to deliver personalized knowledge in areas such as language learning and science education.
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Intelligent tutoring systems for foreign language learning: The bridge to international communication , volume 80
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Recent advances in conversational intelligent tutoring systems
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Concept grounding to multiple knowledge bases via indirect supervision
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CIMA: A large open access dialogue dataset for tutoring
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Program synthesis with large language models
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PPL-MCTS: Constrained textual generation through discriminator-guided MCTS decoding
Antoine Chaffin, Vincent Claveau, and Ewa Kijak. 2022 · 2022
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Lora: Low-rank adaptation of large language models
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Chain-of-thought prompting elicits reasoning in large language models
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Knowledge tracing: A survey
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Swe-bench: Can language models resolve real-world github issues?
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Teach AI how to code: Using large language models as teachable agents for programming education
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Instruct, not assist: LLM-based multi-turn planning and hierarchical questioning for socratic code debugging
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Yuhao Dan, Zhikai Lei, Yiyang Gu, Yong Li, Jianghao Yin, Jiaju Lin, Linhao Ye, Zhiyan Tie, Yougen Zhou, Yilei Wang, et al. 2023 · 2023
Cited alongside, same era.
The NCTE transcripts: A dataset of elementary math classroom transcripts
Dorottya Demszky and Heather Hill. 2023 · 2023
Cited alongside, same era.
Towards goal-oriented intelligent tutoring systems in online education
Yang Deng, Zifeng Ren, An Zhang, Wenqiang Lei, and Tat-Seng Chua. 2023 · 2023
Cited alongside, same era.
Albert Q Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, et al. 2023 · 2023
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Making language models better reasoners with step-aware verifier
Yifei Li, Zeqi Lin, Shizhuo Zhang, Qiang Fu, Bei Chen, Jian-Guang Lou, and Weizhu Chen. 2023 · 2023
Cited alongside, same era.
ReadingQuizMaker: a human-NLP collaborative system that supports instructors to design high-quality reading quiz questions
Xinyi Lu, Simin Fan, Jessica Houghton, Lu Wang, and Xu Wang. 2023 · 2023
Cited alongside, same era.
MathDial: A dialogue tutoring dataset with rich pedagogical properties grounded in math reasoning problems
Jakub Macina, Nico Daheim, Sankalan Chowdhury, Tanmay Sinha, Manu Kapur, Iryna Gurevych, and Mrinmaya Sachan. 2023 · 2023
Cited alongside, same era.
Priyanka Kargupta, Ishika Agarwal, Dilek Hakkani Tur, and Jiawei Han. 2024 · 2024
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BIPED: Pedagogically informed tutoring system for ESL education
Soonwoo Kwon, Sojung Kim, Minju Park, Seunghyun Lee, and Kyuseok Kim. 2024 · 2024
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EvoCodeBench: An evolving code generation benchmark with domain-specific evaluations
Jia Li, Ge Li, Xuanming Zhang, Yunfei Zhao, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, and Yongbin Li. 2024 · 2024
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Let’s verify step by step
Hunter Lightman, Vineet Kosaraju, Yuri Burda, Harrison Edwards, Bowen Baker, Teddy Lee, Jan Leike, John Schulman, Ilya Sutskever, and Karl Cobbe. 2024 · 2024
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Personality-aware student simulation for conversational intelligent tutoring systems
Zhengyuan Liu, Stella Xin Yin, Geyu Lin, and Nancy F. Chen. 2024c · 2024
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Training software engineering agents and verifiers with SWE-Gym
Jiayi Pan, Xingyao Wang, Graham Neubig, Navdeep Jaitly, Heng Ji, Alane Suhr, and Yizhe Zhang. 2024 · 2024
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Toward in-context teaching: Adapting examples to students’ misconceptions
Alexis Ross and Jacob Andreas. 2024 · 2024
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Exploring knowledge tracing in tutor-student dialogues
Alexander Scarlatos and Andrew Lan. 2024 · 2024
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Bridging the novice-expert gap via models of decision-making: A case study on remediating math mistakes
Rose Wang, Qingyang Zhang, Carly Robinson, Susanna Loeb, and Dorottya Demszky. 2024b · 2024
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From MOOC to MAIC: Reshaping online teaching and learning through LLM-driven agents
Jifan Yu, Zheyuan Zhang, Daniel Zhang-li, Shangqing Tu, Zhanxin Hao, Rui Miao Li, Haoxuan Li, Yuanchun Wang, Hanming Li, Linlu Gong, et al. 2024 · 2024
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Boosting scientific concepts understanding: Can analogy from teacher models empower student models?
Siyu Yuan, Cheng Jiayang, Lin Qiu, and Deqing Yang. 2024 · 2024
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ReST-MCTS*: LLM self-training via process reward guided tree search
Dan Zhang, Sining Zhoubian, Ziniu Hu, Yisong Yue, Yuxiao Dong, and Jie Tang. 2024 · 2024
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