New Concept of Learning Outcomes Assessment in Adaptive Mobile Learning

DOI

10.2991/icirad-17.2017.49How to use a DOI?

Keywords

Adaptive Learning, Mobile Learning, Assessment, Simple Additive Weighting, Cognitive, Affectiv, Learning Outcomese

Abstract

Although technology can positively affect learning process, learning technology like Adaptive Mobile Learning (ALM) for assessment still poses two main problems in terms of its tests session value and the possibility of the test being taken repeatedly by learners. This study proposes the use of Simple Additive weighting method (SAW) to improve AML systems by using tree criteria, such as: test session, learning session number and learning intensity. These criteria to enable the learning process according to their level of competence. A model of AML system is then drafted by applying the SAW Method with the infusion of the tree criteria based on Bloom's Taxonomy. It is strongly recommended that a research in near future 1) should be conducted to develop AML system using SAW method for optimizing the learning assessment on AML system and 2) can add an assessment rubric based on Blooms Taxonomy Model.

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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TY  - CONF
AU  - I Made Agus Wirawan
AU  - I Gede Mahendra Darmawiguna
PY  - 2017/08
DA  - 2017/08
TI  - New Concept of Learning Outcomes Assessment in Adaptive Mobile Learning
BT  - Proceedings of the 2nd International Conference on Innovative Research Across Disciplines (ICIRAD 2017)
PB  - Atlantis Press
SP  - 263
EP  - 268
SN  - 2352-5398
UR  - https://doi.org/10.2991/icirad-17.2017.49
DO  - 10.2991/icirad-17.2017.49
ID  - Wirawan2017/08
ER  -