Comparing student and expert-based tagging of recorded lexctures
Autor: | Jan Van Bruggen, Wim Jochems, Pierre Gorissen |
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Přispěvatelé: | RS-Research Line Teaching and Teacher Professionalisation (T2) (part of WO program), Welten Institute |
Jazyk: | angličtina |
Rok vydání: | 2013 |
Předmět: |
Vocabulary
Information retrieval recorded lectures Computer science media_common.quotation_subject Cosine similarity novice expert comparison Educational technology tagging Library and Information Sciences Education Similarity (network science) cosine similarity ComputingMilieux_COMPUTERSANDEDUCATION Quality (business) vector space modelling media_common |
Zdroj: | Education and Information Technologies, Juni, 1-22. Kluwer Academic Publishers Education and Information Technologies, 20 (2015)(1), 161-181. Springer Nature Education and Information Technologies, 20(1), 161-181. Springer US Gorissen, P, Van Bruggen, J & Jochems, W 2015, ' Comparing student and expert-based tagging of recorded lectures ', Education and Information Technologies, vol. 20, no. 1, pp. 161-181 . https://doi.org/10.1007/s10639-013-9271-y |
ISSN: | 1573-7608 1360-2357 |
Popis: | In this paper we analyse the way students tag recorded lectures. We compare their tagging strategy and the tags that they create with tagging done by an expert. We look at the quality of the tags students add, and we introduce a method of measuring how similar the tags are, using vector space modelling and cosine similarity. We show that the quality of tagging by students is high enough to be useful. We also show that there is no generic vocabulary gap between the expert and the students. Our study shows no statistically significant correlation between the tag similarity and the indicated interest in the course, the perceived importance of the course, the number of lectures attended, the indicated difficulty of the course, the number of recorded lectures viewed, the indicated ease of finding the needed parts of a recorded lecture, or the number of tags used by the student. |
Databáze: | OpenAIRE |
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