Open km-Learning: Using Semantic Web Technologies to Facilitate E-Learning
نویسندگان
چکیده
We propose an e-learning framework that takes domain knowledge-specific Open Educational Resources (OERs) from the World Wide Web and stores the metadata of the top qualified entries into an ontology-driven structural data store. When responding to users’ learning queries, the framework constructs a cluster of related subjects around the query topic, including the topic itself, to form a knowledge map, along with the related Learning Objects1 (LOs). We call this e-learning framework Open km-Learning (OkL), where km stands for “knowledge map.”
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