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All Journal Indonesian Journal of Mathematics Education
Isnawati Lujeng Lestari
Universitas Nahdlatul Ulama Pasuruan, Indonesia
Mathematics

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AI-Enhanced Electronic Modules Bridge Mathematical Induction Learning Gap Mayang Sari; Isnawati Lujeng Lestari; Gusti Uripno; Siti Suprihatiningsih; Firda Hariyanti
Indonesian Journal of Mathematics Education Vol. 8 No. 2 (2025): Indonesian Journal of Mathematics Education
Publisher : Universitas Tidar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31002/ijome.v8i2.2988

Abstract

This study develops and validates AI-integrated electronic modules (e-modules) for instruction in mathematical induction. Mathematical induction requires sophisticated logical reasoning, yet students often struggle to master this proof technique. The research employed a systematic three-phase approach: analysis of learning challenges, design of e-module architecture with AI integration, and development using the Canva platform with integrated AI tools including Wolfram Alpha, Interactive Theorem Provers, and ChatGPT. Validation used a 4-point Likert scale across four primary dimensions, including material aspect, media aspect, language aspect, and learning aspect. Unlike traditional materials, these AI-integrated e-modules provide personalized feedback, adaptive learning pathways, and real-time diagnostic support tailored to individual student needs. Results demonstrate the potential of AI-enhanced educational technology in bridging the gap between complex mathematical reasoning and student comprehension.
Co-Authors Firda Hariyanti Gusti Uripno Mayang Sari Siti Suprihatiningsih