Performance Aware Adaptation in Open Corpus E-Learning Systems

This paper presents a Performance Oriented Adaptation Agent (POAA) architecture that improves adaptive selection of Learning Objects stored in distributed knowledge repositories. This approach can enhance adaptation process in the Open corpus Adaptive Educational Hypermedia System (OAEHS) Server. The focus is on enhancing existing adaptive selection process by considering network performance factors at a session level. The solution involves taking into consideration not only the user’s characteristics and preferences but also throughput conditions on relevant connection links. Introduction of performance oriented DER selection minimises download latency and in turn increases the user’s quality of experience.