Towards automatic learning content sequence via linked open data

作者: Rubén Manrique

DOI: 10.1145/3106426.3110322

关键词:

摘要: The paradigm of lifelong learning supported by technology is redefining the way we learn as well search and consume ever growing corpus information available in Web to acquire knowledge on a particular subject. This research addresses problem finding organizing content support self-directed learners achieving goal through search, selection sequencing that might or not have been conceived resources. We plan build an automatic process driven datasets belonging Linked Open Initiative open non-structured such courses syllabi books table contents. Our proposed service two main components: (i) graph interrelated concepts from which possible infer what must be addressed first before others (prerequisite relationships), (ii) component for creation resources sequences based learner profile.

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