Simulating Context in Mobile Learning Games for Testing and Debugging

Autor(en): Schimanke, Florian
Mertens, Robert
Hill, Leonard
Vornberger, Oliver 
Stichwörter: Computer Science; Computer Science, Artificial Intelligence; debugging; Game based learning; learning game; mobile learning; spaced repetition; SuperMemo
Erscheinungsdatum: 2017
Herausgeber: WORLD SCIENTIFIC PUBL CO PTE LTD
Journal: INTERNATIONAL JOURNAL OF SEMANTIC COMPUTING
Volumen: 11
Ausgabe: 1, SI
Startseite: 21
Seitenende: 41
Zusammenfassung: 
Especially software running on mobile devices does increasingly rely on contextual information such as time and location. And whenever a software product is affected by context, this context has to be replicated for testing and debugging. This paper introduces an external context manipulation interface for a previously developed learning item scheduler. The scheduler determines when to present a learning item in a learning game based on previous interaction in order to maximize learning efficiency and is based on psychological models. As inter-presentation-intervals can be in the range of days to months, system testing cannot be conducted in a conventional manner. Hence, virtual time hops can be used to fast forward to any specific point in virtual time which would make the software act like it was system time. The approach has shown to be a valuable debugging and testing aid and can be extended for other contextual information sources.
ISSN: 1793351X
DOI: 10.1142/S1793351X17400025

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