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Penalaran Proporsional dalam Pendidikan Matematika: Tinjauan Literatur Sistematis (SLR) Prismadian Amalia Putri; Agus Susanta; Nurul Astuty Yensy
Mandalika Mathematics and Educations Journal Vol 7 No 4 (2025): Desember
Publisher : FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jm.v7i4.10707

This systematic literature review analyzes international evidence on proportional reasoning (PR) in K–12 education and teacher training. We synthesized eight studies and identified four key patterns. Contexts with hands-on activities help students transition from intuitive to formal strategies. Students often succeed with probability ratios, but struggle with visual biases. Example-based practice with self-explanation improves probabilistic reasoning, especially for less prepared students. Finally, diagnostic tools such as construct maps are useful for tracking student progress from "combined unit" to "multiplicative comparison" understanding. Our review recommends designing a clear progression for ratios, rates, and probabilities; teaching anti-bias strategies; embedding routines of example problems; and using construct map-guided assessments. This synthesis provides a clear action lens to improve PR instruction by integrating student cognition, task design, and teacher practices.

ARTIFICIAL INTELLIGENCE AND DIGITAL INNOVATION IN MATHEMATICS EDUCATION FOR CRITICAL THINKING: A SYSTEMATIC LITERATURE REVIEW Prismadian Amalia Putri; Naning Sutriningsih; Suminto Suminto
ACADEMIA: Jurnal Inovasi Riset Akademik Vol. 6 No. 2 (2026)
Publisher : Pusat Pengembangan Pendidikan dan Penelitian Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51878/academia.v6i2.10656

This study presents a systematic literature review on artificial intelligence and digital innovation in mathematics education for critical thinking. The review aimed to identify research trends, forms of implementation, major findings, and research gaps in the literature. The study employed a Systematic Literature Review design guided by the PRISMA framework. Data were collected from the Scopus database. The initial search yielded several hundred records, which were filtered based on publication years 2020–2025, English language, open access status, subject area Mathematics, and source type Journal. After the filtering and screening process, 25 articles were selected for the final synthesis. The findings show that the literature on critical thinking in mathematics education is broader than the literature directly addressing artificial intelligence. Most studies focused on pedagogical approaches such as inquiry-based learning, realistic mathematics education, proof, problem solving, and computational thinking, while only a limited number of studies explicitly examined AI or generative AI in mathematics education. The review indicates that artificial intelligence and digital innovation have strong potential to support critical thinking through interactive learning environments, AI-assisted problem solving, and digitally mediated instruction. However, their contribution depends heavily on pedagogical design, teacher mediation, and the extent to which technology supports genuine mathematical reasoning. The review concludes that the integration of artificial intelligence in mathematics education remains an emerging field and requires stronger empirical evidence, clearer conceptualization, and more context-sensitive implementation to enhance critical thinking effectively.

ANALISIS COMMOGNITIVE MAHASISWA DALAM MENYELESAIKAN MASALAH MATEMATIKA MATERI STATISTIKA Eko Yandi Raharjo; Adelyra Resita; Prismadian Amalia Putri
Journal of Mathematics Science and Education. Vol 8 (2025): Penelitian kependidikan Matematika
Publisher : Universitas PGRI Silampari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62112/journalofmathematicsscienceandeducation..v8i1.439

Artikel ini bertujuan guna mengkarakterisasi bagaimana mahasiswa menggunakan kemampuan kognitif mereka untuk memecahkan masalah materi statisitka. Penelitian ini menggunakan desain penelitian deskriptif dan metodologi kualitatif. Pendekatan commognitive yang merupakan stategi pengumpulan data yang dipakai atas penelitian ini, meminta mahasiswa guna mengartikulasikan secara verbal konsep – konsep yang mereka pertimbangkan ketika mengerjakan masalah matematika yang melibatkan metode statisik. Mereduksi, menyajikan, dan membuat kesimpulan adalah langkah-langkah pendekatan analisis data kualitatif yang dipakai dalam penelitian ini. Menurut temuan penelitian, dua peserta menyelesaikan tugas yang dinilai menggunakan komponen commognitive yang berbeda. Penggunaan Kata, mediator visual, narasi, dan rutinitas adalah empat komponen commognitive yang digunakan mahasiswa RL untuk memecahkan masalah; meskipun demikian, mahasiswa RL tidak menuliskan dengan kefasihan prosedural penuh dalam komponen rutin. Mahasiswa NH menggunakan komponen commognitive untuk memcahkan masalah statistik, dan menggunakan kefasihan prosedural dan pengetahuan konseptual untuk menemukan solusi.

How Do Students’ Cognitive Style Influence Their Mathematical Problem-Solving Thinking Procesess: A systematic Literature Review Eko Yandi Raharjo; Prismadian Amalia Putri; Sudarwan Danim; Eko Risdianto
Journal of Mathematics Science and Education. Vol 8 (2025): Penelitian kependidikan Matematika
Publisher : Universitas PGRI Silampari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62112/journalofmathematicsscienceandeducation..v8i1.455

This study aims to explore the influence of students' cognitive styles on the thought process in solving mathematical problems through a Systematic Literature Review (SLR) approach with PRISMA guidelines. Cognitive styles such as field-dependent vs. field-independent and reflective vs. impulsive are proven to influence the way students process information, represent mathematical concepts, and apply problem-solving strategies. A review of 10 selected articles showed that active learning models such as Project-Based Learning (PjBL) and Problem-Based Learning (PBL) are more effective when adapted to students' cognitive characteristics. Field-independent and reflective students tend to excel in analytical and logical thinking, while field-dependent and impulsive students perform better in collaboration when given appropriate scaffolding. The findings also suggest a link between cognitive styles and the development of 21st century skills, particularly critical thinking, creativity, communication and collaboration. This study recommends the importance of learning design that is responsive to individual differences to support the achievement of optimal learning outcomes.

ANALISIS COMMOGNITIVE MAHASISWA DALAM MENYELESAIKAN MASALAH MATEMATIKA MATERI STATISTIKA Eko Yandi Raharjo; Adelyra Resita; Prismadian Amalia Putri
Journal of Mathematics Science and Education. Vol 8 No 1 (2025): Penelitian kependidikan Matematika
Publisher : Universitas PGRI Silampari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62112/journalofmathematicsscienceandeducation..v8i1.439

Artikel ini bertujuan guna mengkarakterisasi bagaimana mahasiswa menggunakan kemampuan kognitif mereka untuk memecahkan masalah materi statisitka. Penelitian ini menggunakan desain penelitian deskriptif dan metodologi kualitatif. Pendekatan commognitive yang merupakan stategi pengumpulan data yang dipakai atas penelitian ini, meminta mahasiswa guna mengartikulasikan secara verbal konsep – konsep yang mereka pertimbangkan ketika mengerjakan masalah matematika yang melibatkan metode statisik. Mereduksi, menyajikan, dan membuat kesimpulan adalah langkah-langkah pendekatan analisis data kualitatif yang dipakai dalam penelitian ini. Menurut temuan penelitian, dua peserta menyelesaikan tugas yang dinilai menggunakan komponen commognitive yang berbeda. Penggunaan Kata, mediator visual, narasi, dan rutinitas adalah empat komponen commognitive yang digunakan mahasiswa RL untuk memecahkan masalah; meskipun demikian, mahasiswa RL tidak menuliskan dengan kefasihan prosedural penuh dalam komponen rutin. Mahasiswa NH menggunakan komponen commognitive untuk memcahkan masalah statistik, dan menggunakan kefasihan prosedural dan pengetahuan konseptual untuk menemukan solusi.

How Do Students’ Cognitive Style Influence Their Mathematical Problem-Solving Thinking Procesess: A systematic Literature Review Eko Yandi Raharjo; Prismadian Amalia Putri; Sudarwan Danim; Eko Risdianto
Journal of Mathematics Science and Education. Vol 8 No 1 (2025): Penelitian kependidikan Matematika
Publisher : Universitas PGRI Silampari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62112/journalofmathematicsscienceandeducation..v8i1.455

This study aims to explore the influence of students' cognitive styles on the thought process in solving mathematical problems through a Systematic Literature Review (SLR) approach with PRISMA guidelines. Cognitive styles such as field-dependent vs. field-independent and reflective vs. impulsive are proven to influence the way students process information, represent mathematical concepts, and apply problem-solving strategies. A review of 10 selected articles showed that active learning models such as Project-Based Learning (PjBL) and Problem-Based Learning (PBL) are more effective when adapted to students' cognitive characteristics. Field-independent and reflective students tend to excel in analytical and logical thinking, while field-dependent and impulsive students perform better in collaboration when given appropriate scaffolding. The findings also suggest a link between cognitive styles and the development of 21st century skills, particularly critical thinking, creativity, communication and collaboration. This study recommends the importance of learning design that is responsive to individual differences to support the achievement of optimal learning outcomes.

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