Article Per Year (5 Year)
p-Index From 2021 - 2026
3.339
P-Index
This Author published in this journals
All Journal Jurnal Karya Pendidikan Matematika Union: Jurnal Ilmiah Pendidikan Matematika Numeracy : Jurnal Ilmiah Pendidikan Matematika SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Ilmiah Mandala Education (JIME) FIBONACCI: Jurnal Pendidikan Matematika dan Matematika Range : Jurnal Pendidikan Matematika Plusminus: Jurnal Pendidikan Matematika Idealmathedu: Indonesian Digital Journal of Mathematics and Education Indo-MathEdu Intellectuals Journal Prosiding Temu Ilmiah Nasional Guru SUBSERVE: Community Service and Empowerment Journal JRAMathEdu (Journal of Research and Advances in Mathematics Education) JPP (Jurnal Pendidikan dan Pembelajaran)
Hafsah Adha Diana
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

Published : 21 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 21 Documents
Search

 1   2   3 
Research Evolution of Artificial Intelligence in Mathematics Learning: A Bibliometric Review from 2015 to 2026 Nadya Syifa Utami; Hafsah Adha Diana; Verra Budhi Lestari; Sani Sahara
JPP (Jurnal Pendidikan dan Pembelajaran) Vol. 33 No. 1 (2026)
Publisher : Lembaga Pengembangan Pendidikan dan Pembelajaran, Universitas Negeri Malang in Collaboration with Asosiasi Pendidik dan Pengembang Pendidikan Indonesia (APPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Background: The recent growth of Artificial Intelligence (AI) has attracted increasing attention in mathematics learning research, yet a comprehensive understanding of its development remains limited.Objective: This study aims to explore the research evolution of AI in mathematics learning from 2015 to 2026 using a bibliometric approach.Method: Data were collected from the Scopus database, yielding 169 publications comprising journal articles and conference papers. Analysis was conducted using Bibliometrix and VOSviewer to examine publication trends, leading sources, contributing countries, influential references, keyword cooccurrence, and thematic evolution.Results: The findings reveal a significant growth in publications, particularly after 2021, reflecting expanding research interest. The United States and China are the most productive contributors, while several recent works demonstrate strong citation impact. Keyword and thematic analyses reveal a focus on the intersection of AI and mathematics education, with emerging topics such as generative AI, chatbots, and personalized learning.Conclusion: Overall, the research of AI in mathematics learning has shifted from general technological exploration toward more pedagogically oriented applications. These findings suggest that educators and curriculum developers should prioritize AI tools for personalized and effective learning, while researchers are encouraged to focus empirically evaluating their impact in real classroom contexts.
Co-Authors Aprilia, Indah Silvana Ayu Agustianingsih Didin Hikmah Perkasa Fatimah Fatmawati Gavrilla Mei Sela Marande Gavrilla Mei Sela Marande Gisela Anastacia Rosalind Hendy Yusman Firdaus Indah Cahyaningati Indah Cahyaningati Indah Silvana Aprilia Lingga Yuliana Maliana, Rahma Masnia Masnia, Masnia Meilani, Ajeng Melva Sitorus Mohamat Rozali Ramadhan Nadya Syifa Utami Novila Muhsana Phoong Seuk Yen Rahma Maliana Sani Sahara Sanvi, Ashilla Hanun Saputri, Veni Shelly Morin Sohilait, Emy Veni Saputri Verra Budhi Lestari