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Adaptive Learning Media within Universal Design for Learning: A Systematic Literature Review for Supporting Slow Learner Students Hutapea, Kitaman; Marmoah, Sri; Azman, Mohamed Nor Azhari
Social, Humanities, and Educational Studies (SHES): Conference Series Vol 9, No 1 (2026): Social, Humanities, and Educational Studies (SHEs): Conference Series
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/shes.v9i1.117881

Abstract

Inclusive education has become a global priority in ensuring equitable access to quality learning by promoting flexible, accessible, and student-centered approaches that address the diverse needs of all learners, including slow learner students. Slow learner students often face difficulties in conventional learning due to their diverse learning needs, thus requiring inclusive approaches such as Universal Design for Learning (UDL) and flexible, personalized adaptive learning media to meet individual needs. This study aims to systematically review the literature on the use of adaptive learning media within the UDL framework to support the learning needs of slow learner students. The review was conducted using the PRISMA model by analysing articles indexed in SINTA, Scopus and proceeding over the past ten years from 2016-2026 to identify types of media, UDL implementation, and their impact on learning outcomes. The findings indicate the review of 30 studies shows that adaptive learning media particularly audio-visual, manipulative, and visual forms are widely used to support slow learner students, with a strong emphasis on mathematics and language learning. These media effectively enhance understanding, engagement, and individualized learning in line with UDL principles, although the implementation remains more focused on representation and engagement than on action and expression.
Vocational Teachers’ Insights on Artificial Intelligence and Computational Thinking Integration Majid, Nuur Wachid Abdul; Barri, Muhamad Akda Fathul; Sari, Ayu Permata; Sodikin, Reisa Aulia; Azman, Mohamed Nor Azhari; Prestoza, Mark Jhon Ramos
Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Vol. 10 No. 1 (2026): March
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/e-saintika.v10i1.3660

Abstract

This qualitative case study investigates vocational teachers' perceptions of artificial intelligence and computational thinking integration in Indonesian secondary education. Seven vocational high school teachers from West Java Province participated through semi-structured interviews, non-participant observations, and document analysis following artificial intelligence training. The study employed an interactive analysis model to examine teachers' attitudes, concerns, and implementation strategies regarding artificial intelligence in educational contexts. Findings reveal positive teacher perceptions of artificial intelligence as a learning support tool, with applications ranging from creative media production to technical programming assistance. However, significant ethical and pedagogical concerns emerged, including academic integrity challenges, potential student dependency, inadequate prompt engineering skills, and risks of learning dehumanization. Teachers developed sophisticated guidance strategies, positioning artificial intelligence as a verification tool while maintaining human agency in learning processes. Supporting factors included personal initiative and professional learning communities, while barriers encompassed limited infrastructure, absence of formal guidelines, and varied digital competencies. The research contributes to understanding artificial intelligence adoption challenges in Indonesian vocational education and provides insights for implementing artificial intelligence skills curriculum policy. Results of the research are: (1) educators acknowledge significant advantages of AI integration, especially in improving technical learning experiences and promoting innovative educational endeavors, the integration of AI and computational thinking in the learning process must also prioritize the appropriate pattern aspects and requires clear guidance from stakeholders so that it can be implemented in the learning process; (2)  ethical and pedagogical issues arise as significant obstacles, encompassing abuses of academic integrity, threats of student dependency, insufficient prompt engineering skills, and the potential dehumanization of learning experiences; (3) educators demonstrate significant adaptability by formulating advanced guiding systems that utilize AI as a verification and support mechanism while maintaining human agency in educational decision-making.
Comparing Perceived Usability Across Online Coding Learning Platforms Using the System Usability Scale Lana, Muhammad Isfa'; Majid, Nuur Wachid Abdul; Azman, Mohamed Nor Azhari
Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Vol. 10 No. 2 (2026): July
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/e-saintika.v10i2.4432

Abstract

This study evaluated and compared the perceived usability of three widely used online coding learning platforms—W3Schools, Coursera, and Udemy—among university students in Purwakarta, Indonesia. A quantitative, non-randomized, cross-sectional between-subjects design was employed using the System Usability Scale (SUS), with each participant evaluating one platform that they had previously used. The final sample comprised 120 students, with 40 participants in each platform group. Descriptive statistics, reliability analysis, normality testing, the Kruskal–Wallis test, epsilon-squared effect size, and supplementary Dunn pairwise comparisons with Bonferroni adjustment were applied. W3Schools obtained the highest mean SUS score (85.4) and was classified as “Best Imaginable,” whereas Udemy (82.4) and Coursera (80.9) were both classified as “Excellent.” Despite these descriptive differences, the Kruskal–Wallis test showed no statistically significant overall difference in perceived usability among the three platform-user groups (H = 2.472, p = .291). The corresponding epsilon-squared effect size was small (ε² = .021), and none of the Bonferroni-adjusted pairwise comparisons reached statistical significance. These findings indicate that all three platforms were perceived as highly usable by their respective user groups, while the observed numerical differences did not establish statistically significant platform superiority. The study contributes standardized comparative evidence on coding-platform usability within an Indonesian university context. Future research should incorporate larger and more diverse samples, explicitly measure prior platform experience, and combine subjective usability ratings with objective task-based measures and qualitative evidence.