Using Learning Design to Support Design and Runtime Adaptation

Abstract

One of the key challenges in e-learning is to allow for adaptation to learners’ personal interests, characteristics and goals. E-learners require content and activities based on their preferences and prior knowledge, not just static, page-turning sequences. In this case study we describe the aLFanet project, which intends to develop a learning environment that integrates new principles and tools in the field of learning design and artificial intelligence. The created environment is to offer intelligent personalization capabilities in order to support effective and flexible learning scenarios consistent with the demands of the knowledge society.