Teaching Plan Generation and Evaluation With GPT-4: Unleashing the Potential of LLM in Instructional Design

Author:

Hu Bihao1ORCID,Zheng Longwei2ORCID,Zhu Jiayi3ORCID,Ding Lishan4ORCID,Wang Yilei5ORCID,Gu Xiaoqing6ORCID

Affiliation:

1. School of Computer Science and Technology, East China Normal University, Shanghai, China

2. School of Education, City University of Macau, Macau, China

3. Weiyu High School, Shanghai, China

4. Minhang High School, Shanghai, China

5. Shanghai Institute of AI for Education, East China Normal University, Shanghai, China

6. Department of Education Information Technology, East China Normal University, Shanghai, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Chongqing

East China Normal University Shanghai Institute

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Reference98 articles.

1. Language models are few-shot learners;Brown;Adv. Neural Inf. Process. Syst.,2020

2. PaLM: Scaling language modeling with pathways;Chowdhery,2023

3. GPTeach: Interactive TA Training with GPT-based Students

4. Teaching english in the age of AI: Embracing ChatGPT to optimize EFL materials and assessment;Koraishi;Lang. Educ. Technol.,2023

5. Teaching the Future: The Vision of AI/ChatGPT in Education

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Automatic Lesson Plan Generation via Large Language Models with Self-critique Prompting;Communications in Computer and Information Science;2024

2. Guest Editorial Education in the World of ChatGPT and Generative AI;IEEE Transactions on Learning Technologies;2024

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