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All Journal Journal of Computer Science and Information Technology
Muhammad Riza Abqari
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Social Sciences

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MOBILE LEARNING ANALYSIS IN COMPUTER SCIENCE: A SYSTEMATIC REVIEW OF THE IMPACT AND FACTORS ON STUDENT LEARNING OUTCOMES Erlangga, Erlangga; Alya Nurfaridah; Erna Piantari; Gumilang, Muhamad Dzikri; Muhammad Riza Abqari; Raka Ibnu Firdaus
Journal of Computer Science and Information Technology Vol. 3 No. 1 (2025): Desember
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70248/jcsit.v3i1.3472

Abstract

Limited access and flexibility in higher education, particularly in the field of Computer Science which demands analytical and technical skills, necessitate a more adaptive learning approach. This study aims to examine the influence of M-Learning on student learning outcomes and identify critical success factors (CSFs) that affect its implementation. The method used is a Systematic Literature Review (SLR) through the planning, implementation, and reporting stages, with a publication range of 2020–2025. Analysis of ten studies showed that M-Learning significantly improved learning outcomes, motivation, and independence, especially for programming-based and applied science materials. This effectiveness is influenced by the quality of the pedagogical design, active learning approaches, and adequate technological support. This finding confirms that M-Learning is a relevant and effective learning strategy, with its success heavily dependent on pedagogical factors and infrastructure readiness.
Co-Authors Alya Nurfaridah Erlangga Erlangga Erna Piantari Gumilang, Muhamad Dzikri Raka Ibnu Firdaus