Application of Artificial Intelligence in Personalized Teaching: Taking the “Python Programming Design” Course as an Example

Taking the course of "Python Programming Design" as an example, this paper explores the personalized teaching of Artificial Intelligence. In the teaching practice, with Student A demonstrating the design of questions, the difficulty is gradually increased according to the learning progress. The case analysis involves the application methods, effect evaluation, feedback from teachers and students, etc. The paper also elaborates on the design practice and effect evaluation methods of Artificial Intelligence teaching in the course. The conclusion points out its progress, problems and optimization strategies. Although the research has limitations, the development trend of Artificial Intelligence teaching is promising. In the future, multiple technologies can be integrated and interdisciplinary teaching can be carried out.

Authors

Publication Details

Journal
Higher education and practice.
Published
2024-09-01
DOI
https://doi.org/10.62381/h241905
Primary Topic
Educational Technology and Pedagogy
Type
article
Field-Weighted Citation Impact
0.00
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article

Application of Artificial Intelligence in Personalized Teaching: Taking the “Python Programming Design” Course as an Example

Jianmei Chen, Xiaojun Ding
Higher education and practice.
Educational Technology and Pedagogy
article

Application of Artificial Intelligence in Personalized Teaching: Taking the “Python Programming Design” Course as an Example

Jianmei Chen, Xiaojun Ding
article en

Abstract

Taking the course of "Python Programming Design" as an example, this paper explores the personalized teaching of Artificial Intelligence. In the teaching practice, with Student A demonstrating the design of questions, the difficulty is gradually increased according to the learning progress. The case analysis involves the application methods, effect evaluation, feedback from teachers and students, etc. The paper also elaborates on the design practice and effect evaluation methods of Artificial Intelligence teaching in the course. The conclusion points out its progress, problems and optimization strategies. Although the research has limitations, the development trend of Artificial Intelligence teaching is promising. In the future, multiple technologies can be integrated and interdisciplinary teaching can be carried out.

Higher education and practice.Vol. 1(9)
Openalex Percentile: Top 73%
Educational Technology and Pedagogy
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