The Utilization of Artificial Intelligences on Students’ Academic Performance

Abstract

The rapid integration of artificial intelligence (AI) in education has transformed the ways students access information, complete academic tasks, and support their learning processes. This study examined the level of AI utilization and its relationship with the academic performance of Grade 11 students at Buenavista Integrated School in Zamboanga City during the School Year 2025–2026. Specifically, it assessed students’ use of selected AI tools—ChatGPT, Meta AI, and Canva—and determined whether their utilization was associated with students’ academic performance as measured by their General Weighted Average (GWA). A descriptive–correlational quantitative research design was employed. Data were collected from 113 Grade 11 students from the GAS, HUMSS, and TVL strands using a researcher-developed questionnaire based on a four-point Likert scale to measure AI utilization. Academic performance data were obtained from students’ first-semester GWA records. Descriptive statistics, including mean and standard deviation, were used to determine the level of AI utilization, while Pearson correlation analysis was applied to examine the relationship between AI utilization and academic performance. Results revealed that students moderately utilized AI tools for academic purposes (M = 2.81, SD = 0.62). Among the platforms, Meta AI showed the highest level of utilization, followed by ChatGPT, while Canva recorded the lowest mean score. Students’ academic performance was satisfactory (M = 82.29, SD = 4.89). However, the correlation analysis indicated a weak and statistically non-significant relationship between AI utilization and academic performance (r = 0.131, p > 0.05). The findings suggest that while AI tools are increasingly used by students to support academic tasks, their utilization does not directly translate into improved academic performance. AI platforms therefore function primarily as supplementary learning resources rather than primary determinants of academic achievement. The study highlights the importance of guided and responsible AI integration in educational settings to maximize its pedagogical benefits.