Research on the path to improve the teaching ability of college teachers based on artificial intelligence

Chaofan Ji, Mengya Dong, Dong Li, Leigang Wang, Junkai Hou and Yitong Niu

LatIA, 2025, vol. 3, 135

Abstract: 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.

Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:dbk:rlatia:v:3:y:2025:i::p:135:id:1062486latia2025135

DOI: 10.62486/latia2025135

Access Statistics for this article

More articles in LatIA from AG Editor
Bibliographic data for series maintained by Javier Gonzalez-Argote ().