Abstract | ||
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Reference sites play an increasingly important role in learning processes. Teachers use these sites in order to identify topics that should be covered by a course or a lecture. Learners visit online encyclopedias and dictionaries to find alternative explanations of concepts, to learn more about a topic, or to better understand the context of a concept. Ideally, a course or lecture should cover all key concepts of the topic that it encompasses, but often time constraints prevent complete coverage. In this paper, we propose an approach to identify missing references and key concepts in a corpus of educational lectures. For this purpose, we link concepts in educational material to the organizational and linking structure of Wikipedia. Identifying missing resources enables learners to improve their understanding of a topic, and allows teachers to investigate whether their learning material covers all necessary concepts. |
Year | DOI | Venue |
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2013 | 10.1145/2487788.2487957 | WWW (Companion Volume) |
Keywords | Field | DocType |
key concept,important role,missing resource,relevant missing reference,reference site,necessary concept,missing reference,complete coverage,educational material,online encyclopedia,alternative explanation,wikipedia,linked data | Data science,Data mining,World Wide Web,Computer science,Linked data,Encyclopedia | Conference |
ISBN | Citations | PageRank |
978-1-4503-2038-2 | 0 | 0.34 |
References | Authors | |
8 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Patrick Siehndel | 1 | 126 | 15.69 |
Ricardo Kawase | 2 | 57 | 6.34 |
Asmelash Teka | 3 | 40 | 5.60 |
Eelco Herder | 4 | 586 | 55.28 |