Paths and challenges of teachers' role transformation in the artificial intelligence era

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Authors: Li Zhou, Xiaoqin Zheng
Cited by: 0

Abstract

In the era of artificial intelligence, teachers role transformation is a core issue in teachers professional development under the background of educational digitalization, which is directly related to the quality of education and teachers own practical adaptation. Currently, teachers roles are shifting from mere knowledge transmitters to learning guides and technological collaborative constructors. Meanwhile, teachers are confronted with multiple challenges such as insufficient technical integration capabilities, vague role cognition, and lagging external support systems. To address these issues, at the individual level, teachers should enhance their digital skills and ethical awareness to improve their transformation competence; at the teaching practice level, efforts should be made to integrate technology empowerment with emotional education to construct a new teaching model; at the external support level, it is necessary to improve the training system and evaluation mechanism, and optimize the institutional environment for transformation. These measures aim to help teachers adapt to the new requirements of intelligent education and provide practical references for the digital transformation of education.

Fields of Study & Subjects

Artificial Intelligence in Education Education and Communication Studies Educational Innovations and Challenges

Publication details

Journal / source
Journal of Education and Educational Policy Studies
Volume
4
Issue
1
Pages
76–84
Publication date
27 January 2026