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Assessing the Attitudes Towards Artificial Intelligence (AI) And AI Motivational Value Beliefs on Students’ Mathematics Performance

Author

Listed:
  • Razel Mascariñas

    (Cebu Technological University)

  • Rhino Rienz Casas

    (Cebu Technological University)

  • Lord Kile Baterzal

    (Cebu Technological University)

  • Vivian Verzosa

    (Cebu Technological University)

  • Irelie Candole

    (Cebu Technological University)

Abstract

Artificial Intelligence (AI) is increasingly reshaping educational landscapes, yet its influence on student motivation and actual academic performance in developing country contexts remains less explored. This descriptive-correlational study assessed the relationship between Grade ten (10) students' attitudes and motivational value beliefs toward AI and their mathematics performance in a public secondary school in Loon, Bohol, Philippines, during the first quarter of School Year 2025–2026. Using a validated questionnaire, along with students' first-quarter mathematics grades, data from 81 respondents were analyzed via descriptive statistics and inferential statistics using Spearman's rho correlation coefficient. Results showed that students held positive cognitive and affective attitudes toward AI but exhibited negative behavioral attitudes, alongside uniformly high motivational value beliefs across all dimensions (expectancy, attainment, utility, intrinsic, and cost) with a grand mean of 2.77. Mathematics performance averaged 81.74 (Satisfactory level). While general AI attitudes did not significantly correlate with mathematics performance (rho = -0.160, p > 0.05), a significant weak negative correlation emerged between AI motivational value beliefs and mathematics achievement (rho = -0.278, p

Suggested Citation

  • Razel Mascariñas & Rhino Rienz Casas & Lord Kile Baterzal & Vivian Verzosa & Irelie Candole, 2026. "Assessing the Attitudes Towards Artificial Intelligence (AI) And AI Motivational Value Beliefs on Students’ Mathematics Performance," The International Review of Multidisciplinary Research, Vertex International Research and Consultancy, Corp., vol. 1(6), pages 450-465, May.
    • Handle: RePEc:vtx:vertex:v:1:y:2026:i:6:id:394
    DOI: 10.5281/zenodo.20494194
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