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Online learning is the primary object in today's digital learning environment, so analyzing learnerspsila online learning behaviors are necessary to development of online learning platforms and educational resources, to help teachers designing and organizing the curriculum, to guild learners studying more effectively. This paper constructs a intelligent online learning behavior analysis system based on ontology and semantic parsing, build the ontology base according to online learning behavior model and concepts relations in the online learning domain, extract metadata and semantic annotate data from the behavior information which we collected, match the semantic parsed data with ontology base to deduce learnerspsila learning effect and to evaluate learning process automatically. Expert can better to improve online learning platforms and resources based on this analysis system, it also make learnerspsila learning more effective.
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on (Volume:3 )
Date of Conference: 7-8 March 2009