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Exploring AI perceptions in education: unveiling the role of student and teacher motivation and self-efficacy

感知 心理学 班级(哲学) 数学教育 数字媒体 德国的 内在动机 多级模型 学习动机 班级规模 结构方程建模 目标理论 关系(数据库) 社会心理学 数字本机 自决论 教育学 学生教师
作者
Charlotte Baez,Josef Buchner,Aileen Ullrich,Stefanie Schallert
出处
期刊:Computers and education open [Elsevier BV]
卷期号:10: 100346-100346
标识
DOI:10.1016/j.caeo.2026.100346
摘要

• Student motivation to learn with digital media is related to positive AI perception • Student self-efficacy is related to motivation to learn with digital media • Girls report lower self-efficacy to learn with digital media than boys • Teacher motivation is linked to higher student motivation at class level • Multilevel SEM reveals teacher and student factors linked to student AI perception Artificial intelligence (AI) has a significant impact on education, but little is known about how primary and lower secondary school students perceive AI in learning. This study aims to explore both student and teacher motivation and self-efficacy in relation to students’ perceptions of AI in learning. Data from 907 primary and lower secondary school students and 53 corresponding class teachers from German speaking Switzerland was collected through questionnaires. Analysis was conducted using doubly multilevel structural equation modeling (ML-SEM). Analysis revealed that students’ motivation to learn with digital media is significantly linked to their perception of AI at the individual level. Furthermore, students’ self-efficacy is positively associated with their motivation, with girls exhibiting lower self-efficacy to learn with digital media compared to boys. At the class level, teachers’ motivation to integrate digital media in teaching was significantly positively associated with student motivation. This study is among the first to investigate primary and lower secondary school students’ perceptions of AI. It distinguishes itself by considering both student and teacher variables in a ML-SEM. The research highlights the importance of fostering students’ self-efficacy and motivation to learn with digital media, particularly among female students. Additionally, it emphasizes the need for a supportive and motivating teacher-student dynamic to create a more positive perception of AI in learning. These findings provide valuable insights for integrating AI into primary and lower secondary school settings.
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