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Using decision models for the adaptive generation of learning spaces

: Ras, Eric; Ilin, Dimitri

Kaiserslautern, 2008, VII, 13 pp.
IESE-Report, 078.08/E
Reportnr.: 078.08/E
Fraunhofer IESE ()
adaptation; decision model; learning space; software engineering; experience management; Software Organization Platform (SOP)

This paper presents an approach that uses a decision model for resolving variations in a so-called learning space, which aim is to enhance the reuse of explicitly documented experiences by providing context-aware learning content. Decision models promise a better possibility to separate the variabilities in e-learning content, and address the problem of closed corpus of adaptive hypermedia systems. Adaptation is not coupled to a fixed set of learning resources, but to types of learning space concepts. The system adapts and personalizes the learning space to the learner's situation. A controlled experiment provides first statistically significant results, which show an experience package reuse improvement regarding knowledge acquisition and application efficiency. Further, it provides a baseline for future evaluations of different adaptation methods and techniques.