Improving Sentence Construction (Pagbuo ng Pangungusap) through Artificial Intelligence (AI) Integration in Filipino Subject among University Students
Year: 2025
Type: article
Study design: Clinical Trial
Abstract: Artificial Intelligence (AI) gained attention in terms of its usefulness and role in delivering quality education. ChatGPT is one of the applications in AI that supports learning. This study investigated the effectiveness of ChatGPT as an intervention or AI-Integration in making sentence construction in Filipino among college of education students. While numerous studies support the importance of ChatGPT in improving academic performance limited is done in Filipino subjects as this subject uses Tagalog in teaching concepts. Most of the people in Cebu are more fluent in English rather than in Tagalog where which made it a gap inside the classroom. This study used a Quasi-Experimental design. The data obtained were statistically treated using a Tailed t-test to determine the significant difference. The respondents are coming from second-year college of education students with a total of 70 counts combining the control and experimental groups. This study used a purposive sampling technique. All ethical considerations were practiced making sure that results could display the reality of how effective the intervention is. Results displayed a significant difference in the experimental group using the intervention with a p-value of 0.00. The integration of Artificial Intelligence (AI) in classroom instruction specifically in teaching sentence construction in Filipino brought about significant improvement to the academic performance of the learners. The intervention enhances the level of engagement and interaction of the learners as it improves the way how they construct sentences. This study highly recommends the utilization of ChatGPT as an AI intervention in classroom settings across all disciplines.
DOI: 10.70838/pemj.350303
Author: Elisa Tapales
Institution: Cebu Technological University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4409439620
