One major direction in research on technology-enabled learning systems revolves round the notion of generating optimal learning pathways. Two examples of the application areas that could be presented as search and optimization problem in the context of Artificial Intelligence are:- (1) Adaptive selection and sequencing of learning objects based on the learning profiles, preferences and abilities of individual learners; (2) Automatic composition of assessment or examination papers based on instructors' specifications. In this chapter, we present a critical discussion of the research which is concerned with the application of the paradigm of "swarm intelligence" in these two areas. The main aim of this survey is to highlight the new trends and key research achievements that have been realised in the last few years. We will also outline a range of relevant research issues and challenges that have been generated by this body of work. Copyright © 2011, IGI Global.
|Title of host publication||Intelligent tutoring systems in e-learning environments: Design, implementation and evaluation|
|Editors||Slavomir STANKOV, Vlado GLAVINIĆ, Marko ROSIĆ|
|Place of Publication||USA|
|Publication status||Published - 2010|