Reusing Adaptation Strategies in Adaptive Educational Hypermedia Systems

—Due to the difficulty and thus effort and expenses involved in creating them, personalization strategies in learning environments have to demonstrate a higher returnon-investment (ROI), if they are to be a viable component of the learning setting of the future. One feature that can increase this ROI is the reusability of adaptation strategies in Adaptive Educational Hypermedia Systems. This research looks into various ways of enhancing this reusability. Using multiple modular adaptation strategies (MAS) with a controlling metastrategy is proposed as a more efficient way of authoring adaptation strategies. This renders the reuse of adaptation strategies faster and easier for course authors. A method for semi-automatically breaking down complex adaptation strategies into smaller modular adaptation strategies is described. Potential problems with using multiple strategies are described and ways to solve them are discussed. Finally, some evaluation points are illustrated, conclusions ar...

• Type: Journal
• Year: 2010
• Where: ICALT
• Authors: Joshua Scotton, Alexandra I. Cristea
• Keywords: Adaptation Strategies, Adaptive Educational Hypermedia, ICALT 2010, Machine Learning, Modular Adaptation Strategies