Article Per Year (5 Year)
p-Index From 2021 - 2026
3.03
P-Index
This Author published in this journals
All Journal Al Ishlah Jurnal Pendidikan Poltekita : Jurnal Ilmu Kesehatan Science and Environmental Journals for Postgraduate Dinamika Lingkungan Indonesia Indonesian Journal Of Educational Research and Review Edumaspul: Jurnal Pendidikan
Nurhasan Syah
Universitas Negeri Padang
Biochemistry, Genetics & Molecular Biology Earth & Planetary Sciences Education Environmental Science Languange, Linguistic, Communication & Media 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 
Bibliometric and Systematic Review of AI-Assisted Adaptive Learning Applications in Vocational Education (2018-2023) Harleni Harleni; M. Giatman; Nurhasan Syah; Ganefri Ganefri; Nizwardi Jalinus; Ridwan Ridwan; Krismadinata Krismadinata
AL-ISHLAH: Jurnal Pendidikan Vol 17, No 4 (2025): DECEMBER 2025
Publisher : STAI Hubbulwathan Duri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35445/alishlah.v17i4.8019

Abstract

The integration of Artificial Intelligence (AI) into adaptive learning systems has gained traction in vocational education due to its potential to personalize instruction and enhance competency-based learning. However, research on this intersection remains fragmented, particularly in the context of vocational education and training (TVET). This study conducts a Systematic Literature Review (SLR) using the PRISMA protocol, combined with bibliometric analysis using VOSviewer, to map research trends on AI-assisted adaptive learning in vocational education from 2018 to 2023. Data were sourced from Scopus, Semantic Scholar, and Google Scholar, resulting in 41 eligible articles. The findings reveal a sharp increase in publications after 2020, reflecting growing interest in AI-driven innovations, particularly during the COVID-19 pandemic. Bibliometric mapping identified three dominant thematic clusters: AI-enabled personalization, competency-based vocational education, and pedagogical innovation. Geographically, most research originates from technologically advanced countries such as the United States, India, and the United Kingdom. The study highlights the strategic role of AI-assisted adaptive learning in supporting individualized pathways and skills alignment in vocational education. It also identifies gaps in longitudinal evaluation, pedagogical integration, and research representation from developing regions. These insights provide practical implications for policymakers, educators, and curriculum developers aiming to modernize vocational training systems through AI.
Co-Authors Abdul Razak Ahmad Arif Aisyah Amini Ambiyar, Ambiyar Arif Setiawan Arisman Telaumbanua Deby Cinthia Dedi Agustanto Dewi Fortuna Khairil Elfandra Fadhli Rabbi Elfandra Fan Fadhli Rabbi Elfitri Oktavia Eni Kamal Eri Barlian Fahmi Rijal Fatmawati Fatmawati Febryanti Febryanti Frinsis Warmansyah Ganefri . Harleni, Harleni Hazqan Hari Asri heldi heldi Indang Dewata Indang Dewata Indang Dewata Indra Catri Ismike Suci Ismike Suci Iswandi Iswandi Iswandi U Jelibseda Jelibseda Krismadinata Krismadinata, Krismadinata Lismomon Nata M. Giatman Mona Gusfira Muhammad Yanda Mulya Gusman Munadia Insani Muslim Muslim Mustofa Abi Hamid Nizwardi Jalinus Nuzul Hidayat, Nuzul OSKAH DAKHI Purwanto, Wawan R. Chandra Refdinal, Refdinal Renny Permata Saputri Ridwan Ridwan Rifelino Rifelino Robiyati Robiyati Saiful Jamal Siti Fatimah Skunda Diliarosa Skunda Diliarosta Suhendrinal Suhendrinal Syahril Syahril Triyanchy Afaz Wagino Widian Nigrum Yasmiri, Yasmiri