REVOLUTIONIZING PRE-CALCULUS EDUCATION: PHOTOMATH'S AI-POWERED MATHEMATICS TUTORSHIP

Abstract

Mathematics plays a vital role in education; however, Filipino students encounter difficulties, evident in their performance on both national and international assessments. However, current literature suggests that leveraging technology, such as calculators and AI, in mathematics education can enhance students' proficiency, particularly in the pre-calculus domain. Thus, this research study examined the effectiveness of Photomath in enhancing Filipino students' self-reliance, interest, and performance in pre-calculus. A quasi-experimental one-group pretest-posttest design was used, with 49 Grade 11 students from NEUST Laboratory High School participating. Descriptive and inferential statistical analyses were performed to examine the pre-and post-intervention data. Results revealed a significant increase in students' self-reliance, interest, and performance in pre-calculus following the use of Photomath. The mean scores on all three measures increased significantly from the pretest to the posttest. The results of the t-tests further confirmed the effectiveness of Photomath in enhancing students' self-reliance, interest, and performance in pre-calculus. These results suggest that Photomath can be a valuable tool for educators to incorporate into pre-calculus teaching to enhance students' confidence and interest, foster intrinsic motivation, and ultimately improve their performance. Keywords: Photomath, students’ interest, students’ self-reliance, performance in pre-calculus