Model Design of Adaptive Learning Analytics Management System (ALAMS) Using AID Model

DOI

10.2991/coema-19.2019.15How to use a DOI?

Keywords

alams, adaptive learning, learning analitic, aid model, online learning

Abstract

The development of online learning in Indonesian tertiary institutions has made significant progress in the past decade. All colleges are competing to develop online learning services. However, most learning services are presented with the same model, which is to uniform all students. The developer views that all students can be served with the same service package. In fact, each student experiences a variety of learning styles. This study aims to design an online learning system that is adaptive to differences in the characteristics of students. The research method used is the AID development model (analysis, identification and design). At the analysis stage, researcher analyzing the weaknesses, and limitations of the existing LMS. While at the identification stage researchers identified new innovations from LMS that could be developed. While at the design stage, researchers conducted an adaptive online learning system design model design. After the model is designed, it is then validated by the model expert and online learning expert. Based on the design results obtained an adaptive learning analytic management system model that is feasible and can be developed in practice implementation.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ence Surahman
AU  - Dedi Kuswandi
AU  - Agus Wedi
AU  - Zahid Zufar At Thaariq
AU  - Risma Chulashotud Diana
PY  - 2019/12
DA  - 2019/12
TI  - Model Design of Adaptive Learning Analytics Management System (ALAMS) Using AID Model
BT  - Proceedings of the 4th International Conference on Education and Management (COEMA 2019)
PB  - Atlantis Press
SP  - 65
EP  - 69
SN  - 2352-5398
UR  - https://doi.org/10.2991/coema-19.2019.15
DO  - 10.2991/coema-19.2019.15
ID  - Surahman2019/12
ER  -