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Dhimas Tribuana
Universitas Muhammadiyah Kolaka Utara, Lasusua, Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science

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PENGGUNAAN TEKNOLOGI WEB UNTUK SISTEM E-LEARNING ADAPTIF DI PENDIDIKAN: SYSTEMATIC LITERATURE REVIEW 2020–2025 Andi Nurwafia; Iin Sugiarti; Nia Rahmadani; Sri Rejeki; Dhimas Tribuana
Jurnal Teknologi dan Bisnis Cerdas Vol 1 No 3 (2025): Volume 1 Nomor 3 (Desember 2025)
Publisher : Plexi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64476/jtbc.v1i3.29

Abstract

This study aims to synthesize recent findings on the use of web technologies in adaptive e-learning systems in education and to identify the main research themes, benefits, and implementation challenges. The development of web technology has significantly influenced the evolution of e-learning systems, particularly in creating adaptive learning environments that cater to individual student needs. This study employs a Systematic Literature Review (SLR) guided by the PRISMA 2020 framework to analyze 40 relevant articles published between 2020 and 2025 The review identifies key themes, including web-based architectures, adaptive algorithms and personalization, learning analytics, user experience, and implementation and adoption challenges. The findings highlight that adaptive e-learning systems The findings indicate that adaptive e-learning systems can increase course completion and engagement by up to 40% and reduce learning time by around 30% while improving knowledge retention. However, challenges related to data privacy, infrastructure limitations, interoperability, and limited teacher training, as well as concerns about algorithmic transparency and ethics, remain significant barriers to widespread adoption. This study proposes a five-layer conceptual model that integrates technology infrastructure, data and intelligence components, pedagogical design, and user-centric interfaces to guide the development of effective adaptive e-learning systems.
Co-Authors Abel Abel Adelia Asmarani Alya Nabila Alyah Nur Alifah Amsar Diath Yogmar Andi Fajar Berlian Andi Nurwafia Andi Suciana Ahkas Andi Umi Kalsum Anisa Fitri Arman Rusdin Ashar Ashar Asnia Ramadhani Asya Syara Marzan Dayanti Dayanti Denis Pratama Dimas Reskianto Elsa Elsa Iin Sugiarti Imelda Masdar jusnidar jusnidar Kausar Rusdin Kharisma Dewi Kharismatul Khomsiah Melni Melni Muh Ridwan Muh. Ardiansyah Muh. Taufiq Ahmadi Mutmainnah Mutmainnah Nia Rahmadani Ninda Pradana Nur Aziza Nurfadilla Nurfadilla Nurkhafitri Sahra Nurul Yaqin Sangka Putri Yunansi Bonsa Radika Fibrilya Herman Revalina Revalina Reza Alfiansa Rika Wulan Dari Riksal Rivaldi Riskayanti Riskayanti Sahru Ramadhana Sisil Damayanti Sri Rejeki Supriadi Supriadi Yudhika Setiawan Yusni Yusni Zulfikar Isnansah