Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram
Vol. 14 No. 4: October 2026

GenAI Reliance in Physics Learning: Its Relationship with Physics Anxiety and Students’ Physics Learning Outcomes

Tasya Febriana Feodika (Universitas Negeri Surabaya)
Habibi Habibi (Universitas Negeri Surabaya)
Ririn Yuniawan (SMA Negeri 1 Babat)
Mokhammad Yusuf (SMA Negeri 1 Babat)
Faridatul Amiroh (SMA Negeri 1 Babat)
Jelita Puspita Ningrum Khoirunnisa (SMA Negeri 1 Babat)



Article Info

Publish Date
31 Oct 2026

Abstract

The increasing use of Generative Artificial Intelligence (GenAI) in education has raised questions about its relationship with students’ learning experiences and academic outcomes. This study aimed to examine the relationships among students’ GenAI reliance, physics anxiety, and physics learning outcomes. A quantitative correlational design was employed involving 100 tenth-grade students from one senior high school in Lamongan, Indonesia, recruited through convenience sampling. Data were collected using questionnaires measuring GenAI reliance and physics anxiety, while students’ physics learning outcomes were obtained from teacher records. The data were analyzed using descriptive statistics and Spearman’s rank-order correlation. The findings indicated a positive correlation between GenAI reliance and physics anxiety (ρ = 0.456, p < 0.001), as well as a positive correlation between GenAI reliance and physics learning outcomes (ρ = 0.347, p < 0.001). Meanwhile, the relationship between physics anxiety and physics learning outcomes was positive but not statistically significant (ρ = 0.171, p = 0.089). Responses to the open-ended questions suggested that students used GenAI primarily to understand physics concepts, obtain explanations, and identify steps for solving problems. Some students also reported using GenAI because they lacked confidence in their own answers or feared making mistakes. These findings indicate that GenAI reliance is associated with physics anxiety and students’ physics learning outcomes. However, the correlational design of this study does not establish causal relationships, and students’ learning outcomes may also be associated with other factors beyond their reliance on GenAI.

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Journal Info

Abbrev

prismasains

Publisher

Subject

Biochemistry, Genetics & Molecular Biology Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Mathematics Physics Other

Description

J-PS (Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram) was published by the Faculty of Science, Engineering, and Applied Science Universitas Pendidikan Mandalika. J-PS containing scientific articles in the form of research and ...