Study of the Dataflow Problem in Complex Adaptive Collaboration Learning Scripts

Abstract

The flow of artifacts or dataflow in learning design has not been adequately tackled by the IMS-LD specification or other existing Educational Modelin Languages. Several proposed approaches, including the LeadFlow4LD, aim to handle the main dimensions of the dataflow problem, i.e. automation, consistency and reuse. However, considering the adaptive and complex nature of real collaborative learning scripts may have a significant impact in the existing solutions to the dataflow problem. This paper presents an analysis of the potential/limitation of LeadFlow4LD in a real case study, in which a script based on CLFPs and that requires adaptation has been used. Findings of such an analysis suggest the use of workflow templates in order to overcome the detected problems of real reusable designs.