Learning Style with Cognitive Approach

Abstract

The detailed studies in this chapter give clear picture of the different learning styles, their detection methodologies, related frameworks and models, aggregation processes. The data mining techniques revealed the contemporary applications, different possibilities, and scope to reduce shortcomings in adaptive e-learning. The journey of development of adaptive e-learning system can be explained in terms of milestones, multiple snapshots, relevant patterns extracted from primary data, linked processes explored out churning of data, theories and concepts interlinked herewith, interactive logged data and valuable data ingredients. Efforts have been introduced to develop the new improvised noble system to identify learning style preferences and providing complete adaptation to the learner. Soft computing tools in data mining domain are discussed with its imbedded advantages like coherent functioning of the human brains and its limitations in specific application areas.