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The Influence of Artificial Intelligence Usage and Learner Autonomy on Learning Engagement among General Academic Strand Students

Author

Listed:
  • Cañete, Princess Angel V.

    (Department of Education, Senior High School Students)

  • Albarillo, Rezzia A.

    (Department of Education, Senior High School Students)

  • Agsaullo, Rexil T.

    (Department of Education, Senior High School Students)

  • Bucayong, James A.

    (Department of Education, Senior High School Students)

  • Cadano, Meraden A.

    (Department of Education, Senior High School Students)

  • Carajay, Mark Jay D.

    (Department of Education, Senior High School Students)

  • Dublin, Jhe Ann M.

    (Department of Education, Senior High School Students)

  • Exilisi, Precious Danna A.

    (Department of Education, Senior High School Students)

  • Estepa, Sarah Jhean L.

    (Department of Education, Senior High School Students)

  • Hilot, Lovely Rose A.

    (Department of Education, Senior High School Students)

  • Lallen, Estefanie P.

    (Department of Education, Senior High School Students)

  • Marquez, Rodjan B.

    (Department of Education, Senior High School Students)

  • Marquez, John Cyrus S.

    (Department of Education, Senior High School Students)

  • Rulona, Ronald M.

    (Department of Education, Senior High School Students)

  • Sumalig, Jimmy Jr. A

    (Department of Education, Senior High School Students)

  • Tuazon, Ma. Jyoneth A.

    (Department of Education, Senior High School Students)

  • Anna Marie O. Pelandas

    (Department of Education, Senior High School Students Division of Davao de Oro)

  • Jocel T. Labadan

    (Department of Education, Senior High School Students Division of Davao de Oro)

Abstract

This study examined how artificial intelligence (AI) usage and learner autonomy influence the learning engagement of General Academic Strand students at Lorenzo S. Sarmiento Sr. National High School. Using a quantitative-correlational design, the research measured levels of AI usage, learner autonomy, and learning engagement, and analyzed the relationships among these variables. Data were gathered from GAS students and analyzed using mean, Spearman Rho correlation, and multiple regression. Results showed high levels of AI usage in terms of functionality, availability, and complexity. Learner autonomy was also rated high in both personal and educational aspects. Likewise, learning engagement was high across behavioral, emotional, and cognitive dimensions. Significant relationships were found between AI usage and learning engagement, and between learner autonomy and learning engagement, leading to the rejection of the null hypotheses. Certain domains of AI usage and learner autonomy were identified as significant predictors of learning engagement. Overall, the findings suggest that combining AI tools with autonomy-supportive strategies can effectively enhance student engagement and academic performance.

Suggested Citation

  • Cañete, Princess Angel V. & Albarillo, Rezzia A. & Agsaullo, Rexil T. & Bucayong, James A. & Cadano, Meraden A. & Carajay, Mark Jay D. & Dublin, Jhe Ann M. & Exilisi, Precious Danna A. & Estepa, Sara, 2026. "The Influence of Artificial Intelligence Usage and Learner Autonomy on Learning Engagement among General Academic Strand Students," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 10(2), pages 4282-4294, February.
    • Handle: RePEc:bcp:journl:v:10:y:2026:i:2:p:4282-4294
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