Abstract. The goal of the APOSDLE (Advanced Process-Oriented SelfDirected Learning environment) project is to support work-integrated learning of knowledge workers. We argue that work-integrated learning requires extreme flexibility on a variety of aspects from supportive learning systems. This flexibility can not be achieved by typical (neat) eLearning systems. In this contribution we present how a battery of scruffy technologies (e.g. combining semantics, associative networks and collective intelligence approaches) can be utilized to achieve this flexibility for user profile maintenance and contextbased retrieval. 1 Neat versus Scruffy Typically eLearning systems are a wonder of carefully designed content, finegranular models, interdependencies and hand crafted metadata: The learning domain is broken down into meaningful learning units or modules which encompass concepts, facts and processes. They entail fine granular learning information, exercises, tests, etc. Each of these units i...
Stefanie N. Lindstaedt, Peter Scheir, Armin Ulbric