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Large language models (LLMs) have been applied across various intelligent educational tasks to assist teaching.
CLASS: A design framework for building intelligent tutoring systems based on learning science principles
Shashank Sonkar, Naiming Liu, Debshila Mallick, and Richard Baraniuk. 2023 · 1961
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Classroom interaction research: A survey of recent literature
Dean Schwanke. 1981 · 1981
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Intelligent tutoring systems: an overview
Hyacinth S Nwana. 1990 · 1990
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Teaching, as learning, in practice
Jean Lave. 1996 · 1996
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Critical inquiry in a text-based environment: Computer conferencing in higher education
D Randy Garrison, Terry Anderson, and Walter Archer. 1999 · 1999
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Researching the community of inquiry framework: Review, issues, and future directions
D Randy Garrison and J Ben Arbaugh. 2007 · 2007
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The instructional process: a review of flanders’ interaction analysis in a classroom setting
Veronica O Amatari. 2015 · 2015
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Exploiting cognitive structure for adaptive learning
Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, and Shijin Wang. 2019 · 2019
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Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2020
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A systematic review of automatic question generation for educational purposes
Ghader Kurdi, Jared Leo, Bijan Parsia, Uli Sattler, and Salam Al-Emari. 2020 · 2020
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Retrieval-augmented generation for knowledge-intensive NLP tasks
Patrick S. H. Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, and Douwe Kiela. 2020 · 2020
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Xdai: A tuning-free framework for exploiting pre-trained language models in knowledge grounded dialogue generation
Jifan Yu, Xiaohan Zhang, Yifan Xu, Xuanyu Lei, Xinyu Guan, Jing Zhang, Lei Hou, Juanzi Li, and Jie Tang. 2022 · 2022
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Using large language models to simulate multiple humans and replicate human subject studies
Gati V Aher, Rosa I Arriaga, and Adam Tauman Kalai. 2023 · 2023
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Sparks of artificial general intelligence: Early experiments with gpt-4
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, Harsha Nori, Hamid Palangi, Marco Tulio Ribeiro, and Yi Zhang. 2023 · 2023
Cited alongside, same era.
Empowering private tutoring by chaining large language models
Yulin Chen, Ning Ding, Hai-Tao Zheng, Zhiyuan Liu, Maosong Sun, and Bowen Zhou. 2023 · 2023
Cited alongside, same era.
Chatgpt has entered the classroom: how llms could transform education
Andy Extance. 2023 · 2023
Cited alongside, same era.
S3: Social-network simulation system with large language model-empowered agents
Chen Gao, Xiaochong Lan, Zhihong Lu, Jinzhu Mao, Jinghua Piao, Huandong Wang, Depeng Jin, and Yong Li. 2023 · 2023
Cited alongside, same era.
Metagpt: Meta programming for a multi-agent collaborative framework
Autogen: Enabling next-gen llm applications via multi-agent conversation
Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Beibin Li, Erkang Zhu, Li Jiang, Xiaoyun Zhang, Shaokun Zhang, Jiale Liu, Ahmed Hassan Awadallah, Ryen W White, Doug Burger, and Chi Wang. 2023 · 2023
Later among the works it cites.
The dawn of lmms: Preliminary explorations with gpt-4v(ision)
Zhengyuan Yang, Linjie Li, Kevin Lin, Jianfeng Wang, Chung-Ching Lin, Zicheng Liu, and Lijuan Wang. 2023 · 2023
Later among the works it cites.
Classroom quantitative evaluation: A method of both formative and summative evaluation
Yi Zhang, Xiaoxia Wu, Cheng Zhu, and Jincheng Zhou. 2023 · 2023
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Cooper: Coordinating specialized agents towards a complex dialogue goal
Yi Cheng, Wenge Liu, Jian Wang, Chak Tou Leong, Yi Ouyang, Wenjie Li, Xian Wu, and Yefeng Zheng. 2024 · 2024
Closest in time.
Chatglm: A family of large language models from glm-130b to glm-4 all tools
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Sirui Hong, Mingchen Zhuge, Jonathan Chen, Xiawu Zheng, Yuheng Cheng, Ceyao Zhang, Jinlin Wang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, Chenyu Ran, Lingfeng Xiao, Chenglin Wu, and Jürgen Schmidhuber. 2023 · 2023
Cited alongside, same era.
Large language models in education: A focus on the complementary relationship between human teachers and chatgpt
Jaeho Jeon and Seongyong Lee. 2023 · 2023
Cited alongside, same era.
Generative agent for teacher training: Designing educational problem-solving simulations with large language model-based agents for pre-service teachers
Unggi Lee, Sanghyeok Lee, Junbo Koh, Yeil Jeong, Haewon Jung, Gyuri Byun, Jewoong Moon, Jieun Lim, and † HyeoncheolKim. 2023 · 2023
Cited alongside, same era.
Gpteach: Interactive ta training with gpt-based students
Julia M Markel, Steven G Opferman, James A Landay, and Chris Piech. 2023 · 2023
Cited alongside, same era.
Chatgpt for teaching, learning and research: Prospects and challenges
Emmanuel Opara, Adalikwu Mfon-Ette Theresa, and Tolorunleke Caroline Aduke. 2023 · 2023
Cited alongside, same era.
Generative agents: Interactive simulacra of human behavior
Joon Sung Park, Joseph O’Brien, Carrie Jun Cai, Meredith Ringel Morris, Percy Liang, and Michael S Bernstein. 2023 · 2023
Cited alongside, same era.
Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, and etc. 2023 · 2023
Cited alongside, same era.
Littlemu: Deploying an online virtual teaching assistant via heterogeneous sources integration and chain of teach prompts
Shangqing Tu, Zheyuan Zhang, Jifan Yu, Chunyang Li, Siyu Zhang, Zijun Yao, Lei Hou, and Juanzi Li. 2023 · 2023
Cited alongside, same era.
Team GLM, Aohan Zeng, Bin Xu, Bowen Wang, Chenhui Zhang, Da Yin, Diego Rojas, Guanyu Feng, Hanlin Zhao, Hanyu Lai, et al. 2024 · 2024
Closest in time.
Teaching plan generation and evaluation with gpt-4: Unleashing the potential of llm in instructional design
Bihao Hu, Longwei Zheng, Jiayi Zhu, Lishan Ding, Yilei Wang, and Xiaoqing Gu. 2024 · 2024
Closest in time.
Khanmigo: Your ai tutor and learning assistant
Khan Academy. 2024 · 2024
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Augmenting large language models with chemistry tools
Andres M. Bran, Sam Cox, Oliver Schilter, Carlo Baldassari, Andrew D White, and Philippe Schwaller. 2024 · 2024
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OpenAI. 2024 · 2024
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Chatdev: Communicative agents for software development
Chen Qian, Wei Liu, Hongzhang Liu, Nuo Chen, Yufan Dang, Jiahao Li, Cheng Yang, Weize Chen, Yusheng Su, Xin Cong, Juyuan Xu, Dahai Li, Zhiyuan Liu, and Maosong Sun. 2024 · 2024
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Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Gemini Team. 2024 · 2024
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Mathvc: An llm-simulated multi-character virtual classroom for mathematics education
Murong Yue, Wijdane Mifdal, Yixuan Zhang, Jennifer Suh, and Ziyu Yao. 2024 · 2024
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Exploring collaboration mechanisms for llm agents: A social psychology view
Jintian Zhang, Xin Xu, Ningyu Zhang, Ruibo Liu, Bryan Hooi, and Shumin Deng. 2024 · 2024
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