Academic Performance of Science 10 Learners of Pangasinan School of Arts and Trades (PSAT) Through Artificial Intelligence (AI) Based Adaptive Learning Tools

Authors

  • Orlan Villamil Sison Palaris Colleges Inc. Author

DOI:

https://doi.org/10.5281/zenodo.21127195

Keywords:

AI-Based Adaptive Learning Tools, Science Academic Performance, Grade 10 , PhET Interactive Simulations, Molecular Workbench, Perplexity AI, Socratic by Google, Khan Academy, LabXchange, CK-12 (Flexi AI Tutor)

Abstract

This study determined the relationship between the use of AI-based Adaptive Learning Tools and the academic performance of Science 10 Learners of Pangasinan School of Arts and Trade of Lingayen I District in Pangasinan I for the school year 2025-2026. It was rationalized to address the issues concerning the decline of science literacy among Filipino learners. Ten sections with 456 Grade 10 learners served as respondents of the study. A descriptive-correlative survey was used in the study. Statistical tools, including frequency, percentage, mean, and Pearson r, were used to analyze the data. The result of the study showed that the Grade 10 learners use AI-based Adaptive Learning Tools with the guidance of the teachers in their classes, although it happens only sometimes or once a week as an overall frequency of use. The learners’ science academic performance, despite of non-fully integration of the AI learning tools in their science classes, improved. Furthermore, the study showed that there was a significant relationship between the academic performance of the science 10 learners and their use of AI-adaptive learning tools. Common problems encountered by the science teachers in teaching the subject using the AI tools were associated with resources and accessibility of the internet. A training workshop on the use of AI-based adaptive learning tools was proposed. 

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Published

2026-07-02

How to Cite

Sison, O. (2026). Academic Performance of Science 10 Learners of Pangasinan School of Arts and Trades (PSAT) Through Artificial Intelligence (AI) Based Adaptive Learning Tools. Aloysian Interdisciplinary Journal of Social Sciences, Education, and Allied Fields, 2(7), 21-43. https://doi.org/10.5281/zenodo.21127195

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