Utilization of semantic networks for education: on the enhancement of existing learning objects with topic maps in <ML>3

Lucke, UlrikeMartens, AlkeFähnrich, Klaus-PeterFranczyk, Bogdan2019-01-112019-01-112010978-3-88579-270-3https://dl.gi.de/handle/20.500.12116/19331Semantic networks represent dependencies between concepts or topics, and thus are well-suited not only for processing by computers but also for knowledge transfer to learners. A challenge is to combine knowledge networks (for self-directed learning) with traditional, hierarchical courseware. The paper presents an approach for integration of both, semantic networks and hierarchical structures, within a single learning object based on the eLearning markup language <ML>3.enUtilization of semantic networks for education: on the enhancement of existing learning objects with topic maps in <ML>3Text/Conference Paper1617-5468