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- W3162564872 abstract "This chapter illustrates novel methods to provide personalized and adaptive content to the learners. This chapter illustrates a new methodology of automatically constructing concept maps using ontology to measure the learners' understanding for a particular topic, thereby teachers can adopt adaptive teaching based on the learners knowledge structures as reflected in the concept maps. The teachers can dynamically revise and deliver instructional materials according to the learners' current progress. In the approach, the authors provide dynamic content to the learners based on neuro fuzzy domain ontology extraction algorithm. This method also provides a personalized ontology model of a learner to learn the ontological user profiles from both world knowledge base and user local instance repositories. The main quality of the innovative work is to mine the personalized ontology of the learners to extract their knowledge through ontology mining using Inc Span+ algorithm." @default.
- W3162564872 created "2021-05-24" @default.
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- W3162564872 date "2021-01-01" @default.
- W3162564872 modified "2023-10-18" @default.
- W3162564872 title "Personalized Ontology-Based Adaptive E-Learning System" @default.
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- W3162564872 doi "https://doi.org/10.4018/978-1-7998-5009-0.ch002" @default.
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