Interactive Learning in Algebra: A Quasi-Experimental Study of MalMath and FX Algebra Solver

Abstract

Algebra is foundational to mathematics education, underpinning advanced concepts and essential skills like problem-solving and logical reasoning. However, students often struggle with symbolic representation, logical thinking, and applying mathematical concepts. Information and Communication Technology (ICT) tools, such as MalMath and FX Algebra Solver, offer interactive, step-by-step solutions to address these challenges. This study used a pre-test, post-test non-equivalent control group quasi-experimental design to assess the effectiveness of these applications in improving algebraic achievement. Forty-two second-year BEED students from a state university in Samar, Philippines, were matched by sex, section, and average grades and assigned to experimental or comparison groups using MalMath or FX Algebra Solver, respectively. Both groups showed significant improvements in pre-test and post-test scores, with no significant difference in post-test outcomes, indicating both tools were equally effective. These findings highlight the potential of accessible, technology-based tools to enhance algebra learning and suggest further research on their long-term impacts and broader applications.