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

• 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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Publication Details

Journal
Computers and Education Open
Published
2026-02-26
DOI
https://doi.org/10.1016/j.caeo.2026.100346
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Charlotte Baez, Stefanie Schallert, Josef Buchner, Aileen Ullrich
Computers and Education Open
Teaching and Learning Programming
article

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

Charlotte Baez, Stefanie Schallert, Josef Buchner, Aileen Ullrich
article en

Abstract

• 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.

Computers and Education OpenVol. 10
St.Gallen University of Teacher Education (CH)
Quality Education
Openalex Percentile: Top 53%
Teaching and Learning Programming
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