Abstract
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.
Original language | English |
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Title of host publication | Proceedings of the Fifth IASTED International Conference on Web-based Education |
Pages | 382-387 |
Number of pages | 6 |
Volume | 2006 |
Publication status | Published - 1 Dec 2006 |
Event | 5th IASTED International Conference on Web-based Education - Puerto Vallarta, Mexico Duration: 23 Jan 2006 → 25 Jan 2006 |
Conference
Conference | 5th IASTED International Conference on Web-based Education |
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Country/Territory | Mexico |
City | Puerto Vallarta |
Period | 23/01/06 → 25/01/06 |
Keywords
- Adaptive navigation
- Corporate learning
- Learning sequence
ASJC Scopus subject areas
- General Engineering