Generative Artificial Intelligence Self-Efficacy and Learning Engagement Among Special Education Teacher Trainees: A Moderated Mediation Model

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Authors: Xiage Liu, Juan Yang, Wei Zhao, Tingzhao Wang
Cited by: 3
References: 27

Abstract

Generative artificial intelligence (GenAI), known for its personalization and intelligence, is gaining traction in special education as a tool to address diverse learner needs. As future key practitioners integrating intelligent technology to promote educational equity, how special education teacher trainees effectively utilize GenAI has become a critical issue. In the context of Chinese higher education, this study employed a cross-sectional design and administered a questionnaire survey to 434 special education teacher trainees. The aim was to examine the association between their GenAI self-efficacy and learning engagement, with particular attention to the potential mediating association of problem-solving ability and the moderating role of critical thinking. The results revealed the following: GenAI self-efficacy was positively associated with learning engagement, and problem-solving ability played a mediating role in the relationship between self-efficacy and learning engagement. Moreover, critical thinking significantly moderated the relationship between self-efficacy and problem-solving ability.

Fields of Study & Subjects

Innovative Teaching and Learning Methods Problem Solving Skills Development Educational and Psychological Assessments

Publication details

Journal / source
Behavioral Sciences
Publisher
MDPI AG
Volume
16
Issue
4
Pages
488–488
Publication date
26 March 2026
Language
EN