Adapting E-Learning material allows re-using existing material even in changed usage scenarios. But this adaptation is a complex task. To achieve a perfect result expert knowledge is needed. Often adaptations have to be performed by persons who are not experts in performing these tasks. To enable those persons to achieve a satisfying result they need to be supported. Patterns are one possibility to make expert knowledge on certain tasks available to other persons. In this paper an approach is presented how expert knowledge of performing adaptations of existing E-Learning material can be collected and made available with patterns. This approach can also be used to collect knowledge of other processes, e.g. in companies.
Because of the costly production of Learning Resources the Re-Use of existing Learning Resources becomes more and more important. But reusing Learning Resources in a new context makes it necessary to adapt them. We have developed a framework as base of a Re-Purposing Tool to support users to perform adaptations of Learning Resources in different dimensions which are crucial when using existing Learning Resources in a new context. The adaptation of Learning Resources is not easy to perform and comprises challenges like to deal with multiple files in multiple formats. To hide this from the user there is need for an abstraction of the underlying details. With a model which is including only the information the user needs and which is abstracting from the obstacles an adaptation of Learning Resources becomes a possible task even for novice users. This paper points out the content representation which is used in the framework to abstract from the given Learning Resources as well as the content ontology which the content representation is based on.