Resolving the Problem of Intelligent Learning Content in Learning Management Systems
Marta Rey-López, Peter L. Brusilovsky, Maram Meccawy, Rebeca P. Dı́az Redondo, Ana Fernández Vilas, Helen Ashman · D-Scholarship@Pitt (University of Pittsburgh) · 2008
Current e-learning standardization initiatives have put much effort into easing interoperability between systems and the reusability of contents. For this to be possible, one of the most relevant areas is the definition of a run-time environment, which allows Learning Management Systems to launch, track and communicate with learning objects. However, when dealing with intelligent content, these environments show important restrictions. In this article, we study these restrictions, comparing several standardized run-time environments with nonstandardized solutions that aim to overcome these constraints. Modern approaches to e-learning are based on the reusability of learning content. The core idea is simple: once quality learning content is created, it should be reused multiple times in different contexts. To make this simple idea work, a number of interoperability solutions must be provided. Each piece of the content should be properly stored in a repository and tagged with364 Rey-López, Brusilovsky, Meccawy, Díaz-Redondo, Fernádez-Vilas, and Ashman