Symbolab-Assisted Instruction and Its Effect on Students’ Math Performance

This action research aimed to investigate the impact of Symbolab-assisted instruction on the numeracy skills of Grade 7 students in integer operations. Challenges in mathematical competency, particularly in integers, can hinder the students’ progression in more advanced mathematics. This study aimed to evaluate the effectiveness of incorporating Symbolab, an AI-powered problem-solving tool, in improving students' numeracy skills. Using a time series design, a pretest-posttest approach was implemented over five consecutive days, measuring students’ numeracy skills before and after the intervention. The results revealed a significant improvement in students’ scores, with several moving from a failing to a passing status, χ²(1, N = 14) = 5.440, p = 0.020. Additionally, the posttest scores were significantly higher than the pretest scores (W = 19.000, p = 0.018). These findings demonstrate the effectiveness of Symbolab-assisted instruction in enhancing numeracy performance, reinforcing mathematical concepts, reducing cognitive load, and fostering student engagement. The study suggests that digital tools such as Symbolab can significantly improve learning outcomes by providing structured solutions, immediate feedback, and personalized learning experiences. The results also highlight the importance of integrating technology into mathematics instruction to bridge numeracy gaps and foster a deeper understanding of mathematics. Future research should investigate the long-term effects and scalability of these digital tools across various grade levels and mathematical domains.

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Publication Details

Journal
Journal of interdisciplinary perspectives
Published
2025-01-01
DOI
https://doi.org/10.69569/jip.2025.635
Primary Topic
Mathematics Education and Pedagogy
Type
article
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article

Symbolab-Assisted Instruction and Its Effect on Students’ Math Performance

Cyril John S. Tubola, Joriza G. Tabing, Claudette Malcon
Journal of interdisciplinary perspectives
Mathematics Education and Pedagogy
article

Symbolab-Assisted Instruction and Its Effect on Students’ Math Performance

Cyril John S. Tubola, Joriza G. Tabing, Claudette Malcon
article en

Abstract

This action research aimed to investigate the impact of Symbolab-assisted instruction on the numeracy skills of Grade 7 students in integer operations. Challenges in mathematical competency, particularly in integers, can hinder the students’ progression in more advanced mathematics. This study aimed to evaluate the effectiveness of incorporating Symbolab, an AI-powered problem-solving tool, in improving students' numeracy skills. Using a time series design, a pretest-posttest approach was implemented over five consecutive days, measuring students’ numeracy skills before and after the intervention. The results revealed a significant improvement in students’ scores, with several moving from a failing to a passing status, χ²(1, N = 14) = 5.440, p = 0.020. Additionally, the posttest scores were significantly higher than the pretest scores (W = 19.000, p = 0.018). These findings demonstrate the effectiveness of Symbolab-assisted instruction in enhancing numeracy performance, reinforcing mathematical concepts, reducing cognitive load, and fostering student engagement. The study suggests that digital tools such as Symbolab can significantly improve learning outcomes by providing structured solutions, immediate feedback, and personalized learning experiences. The results also highlight the importance of integrating technology into mathematics instruction to bridge numeracy gaps and foster a deeper understanding of mathematics. Future research should investigate the long-term effects and scalability of these digital tools across various grade levels and mathematical domains.

Journal of interdisciplinary perspectivesVol. 3(10)
University of San Agustin (PH)
Openalex Percentile: Top 61%
Mathematics Education and Pedagogy
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Symbolab-Assisted Instruction and Its Effect on Students’ Math Performance — Cyril John S. Tubola, Joriza G. Tabing, et al. · Journal of interdisciplinary perspectives (2025) | TGRS Research Map | TGRS