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Proceedings of the 3rd International Conference on New Media Development and Modernized Education, NMDME 2023, October 13–15, 2023, Xi’an, China

Research Article

Is ChatGPT a Good Middle School Teacher? An Exploration of its Role in Instructional Design

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  • @INPROCEEDINGS{10.4108/eai.13-10-2023.2341343,
        author={Yingzhe  Li and Jianling  Liu and Shichen  Yang},
        title={Is ChatGPT a Good Middle School Teacher? An Exploration of its Role in Instructional Design},
        proceedings={Proceedings of the 3rd International Conference on New Media Development and Modernized Education, NMDME 2023, October 13--15, 2023, Xi’an, China},
        publisher={EAI},
        proceedings_a={NMDME},
        year={2024},
        month={1},
        keywords={chatgpt instructional design empirical study},
        doi={10.4108/eai.13-10-2023.2341343}
    }
    
  • Yingzhe Li
    Jianling Liu
    Shichen Yang
    Year: 2024
    Is ChatGPT a Good Middle School Teacher? An Exploration of its Role in Instructional Design
    NMDME
    EAI
    DOI: 10.4108/eai.13-10-2023.2341343
Yingzhe Li1, Jianling Liu1,*, Shichen Yang1
  • 1: South China Normal University
*Contact email: jianling1026@yeah.net

Abstract

Instructional design’s origins lie in the philosophies of American educators like Dewey and Bloom, arranging education coherently with learner traits and standards. ChatGPT, an AI tool by OpenAI, employs neural networks for text processing and human-like interactions. Its potential in education, especially in generating materials, captivates educators. This study explores if ChatGPT can replace human teachers in creating lesson plans. Classes from 8th-grade math and 9th-grade English were used, with human teachers and ChatGPT 3.5, 4.0 designing five plans each. Evaluation followed China’s Youth Teachers’ Competition and plan guidelines, assessing objectives, content, process, methods, and innovation. 10 experts, English and math, anonymously rated plans using a scale, yielding insights.

Keywords
chatgpt instructional design empirical study
Published
2024-01-22
Publisher
EAI
http://dx.doi.org/10.4108/eai.13-10-2023.2341343
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