Learning Spaces

The success of experience-based approaches depends on how well the reuse process helps the engineer to bridge the gap between the experience package to be reused and the current needs. The level of understanding impacts the application of an experience package in a new situation. In addition, learning is considered to be a fundamental part of knowledge management and experience management because engineers must internalize (learn) shared knowledge before they can use it to perform specific tasks. This dissertation proposes learning spaces as a mean to enrich experience packages in a context-aware manner. This context-aware adaptation on the structure, content, and presentation level is realized by using decision models. Empirical results prove that learning spaces improve the understanding and the application of experience packages on the one hand and learning on the other hand.