Proceedings of the International Conference on Technology and Vocational Teachers (ICTVT 2017)

An Adaptive User Interface for an E-learning System by Accommodating Learning Style and Initial Knowledge

Authors
Didik Hariyanto, Thomas Kohler
Corresponding Author
Didik Hariyanto
Available Online September 2017.
DOI
10.2991/ictvt-17.2017.4How to use a DOI?
Keywords
Adaptive E-Learning; User Interface; Learning Style; Knowledge Level
Abstract

There is a conception among researchers that every student has his or her own learning style preferences. One student cannot be treated as same as the other students. A specific strategy is required to provide a learning environment that is suitable for different students' preferences. In the context of technology-enhanced learning, it is urgently necessary to design an adaptive e-learning system based on multiple learning criteria. This paper presents the design of a user interface for an e-learning system that can adapt to multiple learning styles and initial knowledge levels. To evaluate the design concept, an application has been developed and then tested based upon a functional test approach. As a result, it was found that the e-learning system could react as intended, presenting the learning material and navigation components based on both the learning styles and initial knowledge of the students.

Copyright
© 2017, 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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Volume Title
Proceedings of the International Conference on Technology and Vocational Teachers (ICTVT 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
September 2017
ISBN
10.2991/ictvt-17.2017.4
ISSN
2352-5398
DOI
10.2991/ictvt-17.2017.4How to use a DOI?
Copyright
© 2017, 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/).

Cite this article

TY  - CONF
AU  - Didik Hariyanto
AU  - Thomas Kohler
PY  - 2017/09
DA  - 2017/09
TI  - An Adaptive User Interface for an E-learning System by Accommodating Learning Style and Initial Knowledge
BT  - Proceedings of the International Conference on Technology and Vocational Teachers (ICTVT 2017)
PB  - Atlantis Press
SP  - 16
EP  - 23
SN  - 2352-5398
UR  - https://doi.org/10.2991/ictvt-17.2017.4
DO  - 10.2991/ictvt-17.2017.4
ID  - Hariyanto2017/09
ER  -