Pedagogical requirements for mobile learning : a review on MOBIlearn Task Model

ABDURRAHMAN, Jalil, BEER, Martin and CROWTHER, Paul (2015). Pedagogical requirements for mobile learning : a review on MOBIlearn Task Model. Journal of Interactive Media in Education, 2015 (1), 1-17.

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Official URL: http://jime.open.ac.uk/articles/10.5334/jime.ap/
Link to published version:: https://doi.org/10.5334/jime.ap

Abstract

Pedagogically sound design for mobile learning application development is a key factor for providing a pleasant and rich learning experience in a mobile environment. In the context of higher education, this need is very critical as institutions and students begin to recognize the importance of bridging the gap between formal classroom and out-of-classroom informal learning to achieve pedagogical goals. However, there are very few existing research studies on how mobile learning design could be informed specifically to support pedagogical requirements for educational mobile learning application. This paper therefore presents a review on the MOBIlearn task model framework and its contributing factors in an attempt to capture appropriate requirements by generalizing the current state of understanding and discover common grounds and similarities from previous research publications. A number of key mobile learning articles, mostly from conferences and journals containing explanation on any of the factors, have been consulted to get a deeper understanding and insights. At the end of this paper, we discuss our findings as a set of pedagogical requirements identified from the literature by categorizing them based on thetask model factors in order to clearly answer our research questions and design a techno-pedagogical tool based on what we have learned in the review.

Item Type: Article
Research Institute, Centre or Group - Does NOT include content added after October 2018: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Computing
Identification Number: https://doi.org/10.5334/jime.ap
Page Range: 1-17
Depositing User: Martin Beer
Date Deposited: 24 Jun 2015 13:21
Last Modified: 18 Mar 2021 11:19
URI: https://shura.shu.ac.uk/id/eprint/10401

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