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Designing tasks for engaging mobile learning


Göth, C; Schwabe, G (2008). Designing tasks for engaging mobile learning. In: MLearn2008, Telford, UK, 8 October 2008 - 10 October 2008.

Abstract

Many mobile learning projects aim to support new learning forms like situated learning in a real world environment. Situated and explorative learning should be active learning, engaging students in the environment. We tested four different tasks designs in two large field tests with the mExplorer system. Two kinds of engaging tasks were observed. Interactive tasks with high context integration led to knowledge about specific aspects of an environment. Creative tasks led to a familiarization with the environment. We also analyzed other projects with situated real world learning scenarios to see what types of tasks they were using. We found that instead of sup-porting active learning, many of these projects still focus on transmissive elements and do not use the full potential of situated and explorative learning. To optimize this, we propose four design recommendations for tasks and de-scribe the circumstances under which specific types of m-learning tasks should be used.

Abstract

Many mobile learning projects aim to support new learning forms like situated learning in a real world environment. Situated and explorative learning should be active learning, engaging students in the environment. We tested four different tasks designs in two large field tests with the mExplorer system. Two kinds of engaging tasks were observed. Interactive tasks with high context integration led to knowledge about specific aspects of an environment. Creative tasks led to a familiarization with the environment. We also analyzed other projects with situated real world learning scenarios to see what types of tasks they were using. We found that instead of sup-porting active learning, many of these projects still focus on transmissive elements and do not use the full potential of situated and explorative learning. To optimize this, we propose four design recommendations for tasks and de-scribe the circumstances under which specific types of m-learning tasks should be used.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Event End Date:10 October 2008
Deposited On:08 Jan 2009 10:54
Last Modified:28 Nov 2022 08:49
Additional Information:Proceedings MLearn2008 conference
OA Status:Green
Official URL:http://www.ifi.uzh.ch/pax/web/index.php/publication/show/id/804
Related URLs:http://www.mlearn2008.org/