Web Mining For Self-directed E-learning

作者: P. Desikan , C. DeLong , K. Beemanapalli , A. Bose , J. Srivastava

DOI: 10.2495/1-84564-152-3/02

关键词:

摘要: Self-directed e-learning focuses on the independent learner, one who engages in education at his own pace, free from curricular obligation. A number of tools, some purposefully and others serendipitously, have become key enablers this learning paradigm. For example, tools such a Google Scholar, CiteSeer Research Index, etc. make it possible to do literature search without stepping out one’s room. Due same technologies which helped self-directed first place, these are danger delivering diminishing returns as micro-learning, lifelong education, continuous norm our Information Age. Web Mining, however, may potentially offer solution issue. In chapter, we investigate specific examples selfdirected how their functionality utility can be improved through use Mining technology, techniques, practices. Our work demonstrates usefulness applies elearning need map implicit relationships learner behaviour, usage, context.

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