Adaptive learning analytics management system (Alams): An innovative online learning approach

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Ence Surahman, Dedi Kuswandi, Agus Wedi, I Nyoman Sudana Degeng, Dini Aris Setyanti, Zahid Zufar At Thaariq

2019 International Journal of Innovation, Creativity and Change Vol. 5 Issue 4 Article Cited by 1 Quartile

Abstract

Online learning in some universities in Indonesia have experienced a significant development in the last ten years. However, most services are presented uniformly for all learners. The homogeneity in the sense of service is not celebrated in the diversity of learners' preferences. This study aims to develop online learning services that can adapt to the characteristics of learners in particular learning style. The method used in the form of research and development (R & D). Stages of research began with the analysis of the characteristics of learners, then the development of services that can adapt to the characteristics of learners was considered. The next phase tests the online learning that has been implemented. Based on the results of the expert judgments Alams can facilitate the diversity of learners. In addition, the learning process can be effective as evidenced by the achievement of learning outcomes of learners who exceed the target set. © 2020 Primrose Hall Publishing Group.

Affiliations

Departement of Educational Technology, State University of Malang, Indonesia