Gap Detection in Web-based Adaptive Educational Systems

D. Jednoralski, Erica Melis, Sergey Sosnovsky, Carsten Ullrich

In: (Hrsg.). Proceedings of the 9th International Conference on Web-based Learning. International Conference on Web-based Learning (ICWL) December 8-10 Shanghai China Seiten 111-120 6483 Springer Berlin-Heidelberg 2010.


Content development for adaptive educational systems is known to be an error-prone task. Gaps can occur when the content is cre- ated, modified or when the context of its usage changes. This paper aims at improving the existing practises of learning content quality control in adaptive educational systems by automating detection and manage- ment of gaps. Several categories of gaps are identified to account for structural, linguistic, and semantic content inconsistencies in learning content collections. An effective filtering mechanism have been imple- mented in order to slice the collected gap data into categories that are relevant for the current authoring context. Evaluation of the developed tool demonstrates its utility.

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence