Content assistance and recommendations in learning material a folksonomy-based approach
| Autor(en): | Engelbert, B. Morisse, K. Vornberger, O. |
Herausgeber: | Uhomoibhi, J. Costagliola, G. Zvacek, S. McLaren, B.M. |
Stichwörter: | Folksonomies; Learning management system; Learning material; Learning materials; Learning systems; Recommender system; Recommender systems; Social tagging; Students, Collaborative tagging; System learning, E-learning | Erscheinungsdatum: | 2016 | Herausgeber: | SciTePress | Enthalten in: | CSEDU 2016 - Proceedings of the 8th International Conference on Computer Supported Education | Band: | 1 | Startseite: | 456 | Seitenende: | 463 | Zusammenfassung: | With the variety of Learning Materials (LM) available in Learning Management Systems and the Internet, the time a student requires to select the most appropriate content increases. Especially the use of the Internet to find new LM is time consuming and not necessarily successful. A study accomplished at our university shows, that students mainly look for alternative explanations, content related exercises and examples, which can be used in addition to the existing LM. In this paper we describe the System Learning Assistance Osnabrueck (LAOs), which is based on a collaborative tagging approach with the main goals to give content related assistance for available LM, but also recommend content in further LM e.g. from the Internet. Copyright © 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved. |
Beschreibung: | Conference of 8th International Conference on Computer Supported Education, CSEDU 2016 ; Conference Date: 21 April 2016 Through 23 April 2016; Conference Code:122373 |
ISBN: | 9789897581793 | DOI: | 10.5220/0005895304560463 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979518512&doi=10.5220%2f0005895304560463&partnerID=40&md5=7f0e2f0af739b5305dc0e5c480c54adc |
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