Proceedings of the 2nd International Conference on Innovative Research Across Disciplines (ICIRAD 2017)

The Adaptive Elearning System Design : Student Learning Style Trend Analysis

Authors
Ketut Agustini
Corresponding Author
Ketut Agustini
Available Online August 2017.
DOI
https://doi.org/10.2991/icirad-17.2017.10How to use a DOI?
Keywords
adaptive elearning system, student learning style, trend analysis, questionnaire.
Abstract
This study aimed to analyze the trend of student learning styles that are used as a basis for designing an adaptive eLearning system, as one of the solutions to improve the quality of learning. In the long run, adaptive eLearning system is expected to overcome the problems in conventional eLearning, which assumes all users' characteristics are homogeneous. In the realization of this system required several stages namely (i) analysis, (ii) design, (iii) development, (iv) implementation and (v) evaluation. In addition, at this stage the preparation of learning materials will be incorporated into adaptive eLearning. Results at this stage is identified, analyzed, and designed as a system for the trend of student learning styles through questionnaires. The score of the questionnaire results will be used as a basis for providing different materials according to the students learning style i.e. visual, audio, and kinesthetic (VAK).
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Ketut Agustini
PY  - 2017/08
DA  - 2017/08
TI  - The Adaptive Elearning System Design : Student Learning Style Trend Analysis
BT  - Proceedings of the 2nd International Conference on Innovative Research Across Disciplines (ICIRAD 2017)
PB  - Atlantis Press
SP  - 50
EP  - 54
SN  - 2352-5398
UR  - https://doi.org/10.2991/icirad-17.2017.10
DO  - https://doi.org/10.2991/icirad-17.2017.10
ID  - Agustini2017/08
ER  -