Challenges in Locating Content and Services for Adaptive eLearning Courses

Abstract

Efficiently locating learning content and web services for adaptive and personalized online courses is a demanding research area. This paper identifies the key challenges that need to be addressed. An approach is then presented that empowers educators to locate relevant learning resources and services through domain expertise and semantics that are meaningful to them. This approach utilizes the existing SARA, SABer and Adaptive Engine systems, in order to support an application that educators can effectively engage with to form adaptive courses. A compelling case study in the Technology Enhanced Learning domain is detailed, as well as an overview of the architecture that the AMAS project uses for supporting such a scenario.