Artificial Intelligence Usage and Behavioral Academic Engagement Among Mathematics Undergraduates

Domain:

education

Record type:

paper

Creator:

FalAyaAkiAko

Editor:

Fed

Publisher:

CCSD

Host:

International audience

The rapid diffusion of artificial intelligence (AI) in higher education is transforming how students learn, interact, and engage with academic content. Behavioral academic engagement refers to students’ observable participation in academic activities, such as active involvement and completion of learning tasks, during mathematics learning with AI-related tools. This study examined the relationships among AI Technology Acceptance (AITA), Attitude Toward AI Use (ATTAIU), Behavioral Intention to Use AI (BIUAI), Actual Use of AI (AUAI), and Behavioral Academic Engagement (BAE) among mathematics undergraduates. Grounded in the Technology Acceptance Model (TAM), the study employed a quantitative, cross-sectional survey design involving 770 participants, drawn via purposive sampling from the mathematics education and mathematics science disciplines at four public universities in North-central Nigeria. Data was analyzed using SmartPLS 4.0 to test both measurement and structural models. The results revealed that AITA significantly and positively influenced ATTAIU (β = 0.774, t = 44.474, p < .001, f² = 1.490) and BIUAI (β = 0.441, t = 21.966, p < .001, f² = 0.269), while favorable attitudes toward AI predicted greater behavioral intention, actual use, and academic engagement. Actual use of AI strongly enhanced engagement (β = 0.553, t = 8.281, p < .001, f² = 0.148), underscoring its vital role in transforming perception into action. Interestingly, behavioral intention alone negatively predicted engagement (β = −0.346, t = 4.715, p < .001, f² = 0.042), suggesting that intention without meaningful application may hinder active learning. The findings extend TAM by demonstrating that acceptance and attitude predict BAE, providing theoretical and practical insights for integrating AI in mathematics education. The study concludes that cultivating acceptance, positive attitudes, and purposeful use of AI is key to advancing student engagement in the era of intelligent learning.

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