Discovery of Effective Learning Paths for Corporate Learners

K.K. Tsoi and V.T.-Y. Ng (PRC)


Learning sequence, adaptive navigation, corporate learning


As the demand of corporate learning is growing, there is a need to develop suitable courseware for them. However, a major difference of systems being used in schools and corporations is that learner backgrounds are highly diversified in corporate learning. Very often, learners with different backgrounds would prefer different learning sequences. In this paper, the discovery of effective learning paths for corporate learners is proposed. Frequent sequences are extracted from previous learners’ logs and be used to build a learning flow model of which the relationships between content materials are formulated by the use of conditional probability.

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