Building adaptive game-based learning resources: The integration of IMS Learning Design and
Daniel Burgos,
Pablo Moreno-Ger,
José Luis Sierra,
Baltasar Fernández-Manjón,
Marcus Specht and
Rob Koper
Additional contact information
Daniel Burgos: Open University of the Netherlands, daniel.burgos@atosresearch.eu
Pablo Moreno-Ger: Complutense University of Madrid, Spain, pablom@fdi.ucm.es
José Luis Sierra: Complutense University of Madrid, Spain, jlsierra@fdi.ucm.es
Baltasar Fernández-Manjón: Complutense University of Madrid, Spain, balta@fdi.ucm.es
Marcus Specht: Open University of the Netherlands, marcus.specht@ou.nl
Rob Koper: Open University of the Netherlands, rob.koper@ou.nl
Simulation & Gaming, 2008, vol. 39, issue 3, 414-431
Abstract:
IMS Learning Design (IMS-LD) is a specification to create units of learning (UoLs), which express a certain pedagogical model or strategy (e.g., adaptive learning with games). However, the authoring process of a UoL remains difficult because of the lack of high-level authoring tools for IMS-LD, even more so when the focus is on specific topics, such as educational eGames. However, external tools that are not specifically IMS-LD oriented can be used. In this case, the main challenge is the integration between these external resources developed with other technologies and the personalized learning experience of an IMS-LD UoL. In this article, the authors use the project to develop conversational games that are integrated with IMS-LD UoLs to improve personalized learning. The main contribution of this setting is the integration of both parts, the IMS-LD specification and , and the communication that enables a mutual influence of the adaptive learning experience.
Keywords: adaptive learning; communication layer; conversational games; eGames; IMS Learning Design; integration; game-based learning; personalized learning; units of learning (search for similar items in EconPapers)
Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:sae:simgam:v:39:y:2008:i:3:p:414-431
DOI: 10.1177/1046878108319595
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