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p-Index From 2021 - 2026
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All Journal Journal Informatic, Education and Management (JIEM) Nusantara Journal of Multidisciplinary Science
Irmasuriani
Universitas Negeri Makassar
Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Other

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Tren Pengembangan Media Pembelajaran Matematika Berbasis Teknologi Web untuk Mengatasi Math Anxiety: Sebuah Systematic Literature Review Fuji Gatra Ningrum; Milda Sari; Irmasuriani; Hamda
Nusantara Journal of Multidisciplinary Science Vol. 3 No. 9 (2026): NJMS - April 2026
Publisher : PT. Inovasi Teknologi Komputer

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Abstract

Math anxiety merupakan hambatan afektif yang secara konsisten memengaruhi prestasi dan motivasi belajar matematika siswa di berbagai jenjang pendidikan. Penelitian ini bertujuan memetakan tren pengembangan media pembelajaran matematika berbasis teknologi web serta mengidentifikasi karakteristik desain yang terbukti efektif dalam mengatasi math anxiety. Menggunakan pendekatan Systematic Literature Review (SLR) dengan protokol PRISMA, sebanyak 309 artikel diidentifikasi dari basis data Google Scholar, Scopus, dan SINTA, yang kemudian disaring secara ketat hingga diperoleh 10 artikel final terbitan 2021–2026. Hasil sintesis menunjukkan bahwa platform web-based seperti Quizizz, Wordwall, dan media Webtoon interaktif terbukti secara empiris mampu menurunkan math anxiety secara signifikan melalui mekanisme gamification, umpan balik instan, dan desain yang memperhatikan regulasi emosi. Efektivitas media web tidak ditentukan oleh kecanggihan teknologi semata, melainkan oleh kualitas desain pedagogis yang mengintegrasikan dimensi kognitif dan afektif secara bersamaan. Penelitian ini menyimpulkan bahwa teknologi web berpotensi besar sebagai ekosistem pembelajaran matematika yang inklusif dan responsif terhadap kebutuhan psikologis peserta didik di era digital.
ARTIFICIAL INTELLIGENCE IN MATHEMATICS LEARNING: A LITERATURE STUDY ON EDUCATIONAL TRANSFORMATION IN THE DIGITAL ERA Syahrul Syawal; Fuji Gatraningrum; Milda Sari; Irmasuriani
Journal Informatic, Education and Management (JIEM) Vol 8 No 2 (2026): AUGUST
Publisher : STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61992/jiem.v8i2.394

Abstract

Artificial Intelligence (AI) has fundamentally transformed the landscape of mathematics learning in the digital era. This study aims to: (1) map the trends and development of AI application in mathematics learning, (2) analyze the effectiveness of AI in improving student learning outcomes and motivation, and (3) identify the challenges and opportunities of AI implementation in the context of Indonesian mathematics education. The method employed is a literature study through searches of various reputable scientific databases. The findings reveal that AI platforms such as Photomath, ChatGPT, and Socratic dominate utilization in mathematics learning. Their effectiveness is evidenced by a 20.6% improvement in students' mathematics scores and an 84.6% increase in teacher competence. However, student dependence on AI, infrastructure limitations, and low digital literacy remain primary obstacles. This study concludes that planned, ethical, and policy-based AI integration is crucial for realizing adaptive, inclusive, and high-quality mathematics learning in the era of digital transformation.
Co-Authors Fuji Gatra Ningrum Fuji Gatraningrum Hamda Milda Sari Syahrul Syawal