Research on the path to improve the teaching ability of college teachers based on artificial intelligence
DOI:
https://doi.org/10.62486/latia2025135Keywords:
artificial intelligence, teaching ability, path optimization, university educationAbstract
With the rapid development of artificial intelligence technology, its application in the field of education has provided a new path for improving the teaching ability of college teachers. This paper explores the role of artificial intelligence in improving the teaching ability of college teachers in terms of teaching design, classroom management, and student evaluation through literature analysis, case studies, questionnaires, and interviews. The study found that artificial intelligence technology can significantly optimize teachers' teaching design ability, classroom management ability, and student evaluation ability, but it also faces challenges such as data security and technology dependence. This paper proposes suggestions for optimizing the path of artificial intelligence to improve the teaching ability of college teachers, in order to provide a reference for the reform of higher education.
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Copyright (c) 2025 Chaofan Ji, Mengya Dong, Dong Li, Leigang Wang, Junkai Hou, Yitong Niu (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.
