Research on the Improvement of Practical Reflection 
Ability of Normal Students in Universities with the Help 
of Artificial Intelligence

Li Wang

doi:10.70711/neet.v4i2.8671

Research on the Improvement of Practical Reflection Ability of Normal Students in Universities with the Help of Artificial Intelligence

Li Wang

Abstract

To explore feasible pathways for enhancing practical reflection skills among university teacher candidates through artificial intelligence (AI) technology, this study systematically reviews existing research on reflective practice in higher education. By integrating AI education theories, we develop an improvement framework that addresses core challenges such as weak reflective awareness and methodological
deficiencies. The framework proposes two key enhancement strategies: AI-powered motivation and AI-enabled methodological empowerment.
Our findings demonstrate that AI can meet the psychological needs of teacher candidates and optimize reflection processes through scientific
tools, providing innovative solutions for cultivating practical reflection abilities. This research enriches both the theoretical and practical
frameworks of digital transformation in teacher education.

Keywords

Artificial intelligence; Higher education; Teacher trainees; Reflective practice

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References

[1] Wu Xiaojing, Kong Weihong. Reflection and Construction of the Content System for Cultivating Information-based Teaching Competence in Normal Students [J]. China Educational Technology Equipment, 2024(12):15-23.

[2] Xie Yuntian. Application of Generative AI in Self-regulated Learning of Preschool Education Teacher Trainees [J]. Journal of Qiqihar

Higher Normal College, 2025(2):5-8.

[3] Dai N, Zhu X. Research on Peer Online Peer Review in Teacher Education Students' Classroom Observation and Evaluation [J]. Higher

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DOI: http://dx.doi.org/10.70711/neet.v4i2.8671

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