dc.contributor.author | Giannakos, Michail | |
dc.contributor.author | Sampson, Demetrios G | |
dc.contributor.author | Kidziński, Łukasz | |
dc.date.accessioned | 2017-01-13T10:13:10Z | |
dc.date.available | 2017-01-13T10:13:10Z | |
dc.date.created | 2016-07-29T23:04:27Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Smart Learning Environments. 2016, 3 1-9. | nb_NO |
dc.identifier.issn | 2196-7091 | |
dc.identifier.uri | http://hdl.handle.net/11250/2427210 | |
dc.description.abstract | Smart learning has become a new term to describe technological and social developments (e.g., Big and Open Data, Internet of Things, RFID, and NFC) enable effective, efficient, engaging and personalized learning. Collecting and combining learning analytics coming from different channels can clearly provide valuable information in designing and developing smart learning. Although, the potential of learning analytics to enable smart learning is very promising area, it remains non-investigated and even ill-defined concept. The paper defines the subset of learning analytics that focuses on supporting the features and the processes of smart learning, under the term Smart Learning Analytics. This is followed by a brief discussion on the prospects and drawbacks of Smart Learning Analytics and their recent foundations and developments in the area of Video-Based Learning. Drawing from our experience with the recent international workshops in Smart Environments and Analytics in Video-Based Learning, we present the state-of-the-art developments as well as the four selected contributions. The paper further draws attention to the great potential and need for research in the area of Smart Learning Analytics. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | SpringerOpen | nb_NO |
dc.relation.uri | http://slejournal.springeropen.com/articles/10.1186/s40561-016-0034-2 | |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Introduction to smart learning analytics: foundations and developments in video-based learning | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.source.pagenumber | 1-9 | nb_NO |
dc.source.volume | 3 | nb_NO |
dc.source.journal | Smart Learning Environments | nb_NO |
dc.identifier.doi | 10.1186/s40561-016-0034-2 | |
dc.identifier.cristin | 1369727 | |
dc.description.localcode | © The Author(s). 2016. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. | nb_NO |
cristin.unitcode | 194,63,10,0 | |
cristin.unitname | Institutt for datateknikk og informasjonsvitenskap | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |