Experience-based Information Systems (EbIS) enable organizations to capture, store and reuse knowledge and experiences for continuous competence development. However, there are several shortcomings that seem to limit the usage of the stored knowledge. Focusing on technical issues, the stored experiences consist mainly of contextual knowledge provided by domain experts, while declarative and procedural knowledge is required in addition to facilitate learning for novices. Moreover, these systems do not support learning in an optimal way because they do not activate learning processes. We present an approach that enriches retrieved experiences with additional learning elements in so-called micro-didactical learning arrangements, created by a pedagogical agent based on cognitive learning goals and an instructional design model. The advantages of this approach are twofold: first, the applicability of experience packages increases by adding learning elements to the package; second, the application of the experience and the newly gained knowledge in practice deepens the learning effect.
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