Exploration of Personalized Python Teaching in Secondary Vocational Schools Based on ChatGPT

In the field of secondary vocational education, such as the teaching of Python programming, there is the problem that the teaching mode can not meet the individual needs of students. By investigating and analyzing the current learning situation of secondary vocational school students, this study finds that there are some significant problems in the traditional teaching mode, such as students' low interest in learning, low participation in the classroom, the uniformity of the teaching mode, the slow updating of teaching materials, and the lack of practicality. To effectively solve these problems, this study proposes an innovative solution based on the premise of Multiple Intelligence Theory and Constructivism Learning Theory: with the natural language processing capability and personalize interactive function of ChatGPT, it provides flexible, diversified, and real-time learning support for secondary school students to learn Python. This study preliminary verified the significant effectiveness of personalized teaching based on ChatGPT in Python programming teaching in secondary vocational schools. Personalized teaching based on ChatGPT is expected to change Python teaching in secondary vocational education and contribute to cultivating more technical talents with practical ability and innovative spirit.

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Publication Details

Published
2024-09-13
DOI
https://doi.org/10.1109/itme63426.2024.00116
Primary Topic
Educational Technology and Pedagogy
Type
article
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article

Exploration of Personalized Python Teaching in Secondary Vocational Schools Based on ChatGPT

Liancheng Xu, Yuhan Wang
Educational Technology and Pedagogy
article

Exploration of Personalized Python Teaching in Secondary Vocational Schools Based on ChatGPT

Liancheng Xu, Yuhan Wang
article en

Abstract

In the field of secondary vocational education, such as the teaching of Python programming, there is the problem that the teaching mode can not meet the individual needs of students. By investigating and analyzing the current learning situation of secondary vocational school students, this study finds that there are some significant problems in the traditional teaching mode, such as students' low interest in learning, low participation in the classroom, the uniformity of the teaching mode, the slow updating of teaching materials, and the lack of practicality. To effectively solve these problems, this study proposes an innovative solution based on the premise of Multiple Intelligence Theory and Constructivism Learning Theory: with the natural language processing capability and personalize interactive function of ChatGPT, it provides flexible, diversified, and real-time learning support for secondary school students to learn Python. This study preliminary verified the significant effectiveness of personalized teaching based on ChatGPT in Python programming teaching in secondary vocational schools. Personalized teaching based on ChatGPT is expected to change Python teaching in secondary vocational education and contribute to cultivating more technical talents with practical ability and innovative spirit.

Shandong Normal University (CN)
Quality Education
Openalex Percentile: Top 74%
Educational Technology and Pedagogy
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Exploration of Personalized Python Teaching in Secondary Vocational Schools Based on ChatGPT — Liancheng Xu, Yuhan Wang · (2024) | TGRS Research Map | TGRS