Mayang Sari
Universitas Nahdlatul Ulama Pasuruan, Indonesia

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The Effect of Interactive Media on Students' Mathematical Communication Ability Based on Learning Styles Mayang Sari; Choirudin Choirudin; Firda Hariyanti; Syed Muhammad Yousaf Farooq
Delta-Phi: Jurnal Pendidikan Matematika Vol. 2 No. 1 (2024): Delta-Phi: Jurnal Pendidikan Matematika (April)
Publisher : CV. Bimbimbingan Belajar Assyfa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61650/dpjpm.v2i1.752

Abstract

This study aims to examine the effect of interactive media on students' mathematical communication abilities considering different learning styles. Unlike previous research that used a descriptive qualitative method, this study employs a quasi-experimental approach with a pretest-posttest control group design. The participants were seventh-grade students at MTs Ma'arif Roudlotut Tholibin Metro, consisting of six males and ten females with various learning styles. The experimental group was taught using interactive media tailored to their learning styles (visual, auditory, kinesthetic, and read/write), while the control group received traditional instruction. Data were collected through mathematical communication ability tests, learning style questionnaires, and classroom observations. The results showed that students who learned with interactive media had higher mathematical communication abilities compared to those who learned through traditional teaching. Among the learning styles, visual learners benefitted the most from the use of interactive media. These findings suggest that integrating interactive media into mathematics teaching can enhance students' mathematical communication abilities, especially when adapted to their preferential learning styles
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.