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All Journal Indiktika : Jurnal Inovasi Pendidikan Matematika Jurnal Pendidikan: Media, Strategi, dan Metode
Sondang Noverica
Universitas Katolik Santo Thomas, Medan
Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Enhancing Students’ Mathematical Critical Thinking through Problem-Based Learning Assisted by MATLAB: A Classroom Action Research Study Fanni Orlide Malau; Sondang Noverica; Anna Mariani
Jurnal Pendidikan: Media, Strategi, dan Metode VOLUME 02 NO 03 DECEMBER 2025
Publisher : Pustaka Karya Mandiri

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Abstract

Mathematical critical thinking is an essential competence that enables students to analyze problems, evaluate solution strategies, construct logical arguments, and make reasoned conclusions. However, students often experience difficulty in understanding abstract mathematical concepts when learning is dominated by procedural explanation and limited visual representation. This study aims to improve students’ mathematical critical thinking and learning outcomes through the implementation of Problem-Based Learning assisted by MATLAB. This classroom action research was conducted in Class VIII-B of SMP Negeri 2 Sidikalang, involving 30 students. The study was implemented in two cycles, and each cycle consisted of planning, action, observation, and reflection. Data were collected through learning outcome tests, observation of student activities, student response questionnaires, teacher interviews, and documentation. The findings show progressive improvement in students’ learning mastery and classroom engagement. In the initial condition, only 12 students, or 40%, achieved the Minimum Mastery Criteria, with a class mean score of 69.6. After Cycle I, the number increased to 18 students, or 60%, with a mean score of 75.2. After Cycle II, 27 students, or 90%, achieved mastery, with a mean score of 82.5. Observation also indicated that students became more active in analyzing problems, discussing solution strategies, using MATLAB for mathematical exploration, and presenting their reasoning. The study concludes that PBL assisted by MATLAB can support a more active, visual, collaborative, and problem-oriented mathematics learning environment.
Integrasi Realistic Mathematics Education, Culturally Responsive Teaching, dan Artificial Intelligence untuk Keterampilan 4C Abad 21: Sebuah Tinjauan Sistematis Sondang Noverica; Sinta Dameria Simanjuntak
Indiktika : Jurnal Inovasi Pendidikan Matematika Vol. 8 No. 2 (2026): Indiktika : Jurnal Inovasi Pendidikan Matematika
Publisher : FKIP Universitas PGRI Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31851/indiktika.v8i2.21423

Abstract

This study aims to systematically review the literature on Realistic Mathematics Education (RME), Culturally Responsive Teaching (CRT), Artificial Intelligence (AI), and 21st-century skills (4C) to identify and bridge research gaps in mathematics education. The research employed a Systematic Literature Review (SLR) combined with bibliometric analysis using the PRISMA protocol and supported by VOSviewer and Biblioshiny software. From the Scopus database, 79 articles met the inclusion criteria and were analyzed based on publication trends, author collaboration networks, citation structures, and qualitative synthesis. The findings indicate a significant increase in research on RME and AI over the past decade, while the integration of CRT remains limited despite its philosophical alignment with RME. This study identifies five major research gaps—namely theoretical, empirical, methodological, population, and evidential. The integration of RME, CRT, and AI has strong potential to form an adaptive, contextual, and culturally responsive mathematics learning model that strengthens 21st-century competencies. These findings provide new directions for developing inclusive and technology-based mathematics education.
Co-Authors Anna Mariani Fanni Orlide Malau Sinta Dameria Simanjuntak