Integrating multiple data sources for learning analytics—review of literature
dc.contributor.author | Samuelsen, Jeanette | |
dc.contributor.author | Chen, Weiqin | |
dc.contributor.author | Wasson, Barbara | |
dc.date.accessioned | 2020-01-03T11:07:34Z | |
dc.date.accessioned | 2020-01-14T14:10:21Z | |
dc.date.available | 2020-01-03T11:07:34Z | |
dc.date.available | 2020-01-14T14:10:21Z | |
dc.date.issued | 2019-07-26 | |
dc.identifier.citation | Samuelsen J, Chen W, Wasson B. Integrating multiple data sources for learning analytics—review of literature. Research and Practice of Technology Enhanced Learning. 2019 | en |
dc.identifier.issn | 1793-2068 | |
dc.identifier.issn | 1793-2068 | |
dc.identifier.uri | https://hdl.handle.net/10642/7977 | |
dc.description.abstract | Learning analytics (LA) promises understanding and optimization of learning and learning environments. To enable richer insights regarding questions related to learning and education, LA solutions should be able to integrate data coming from many different data sources, which may be stored in different formats and have varying levels of structure. Data integration also plays a role for the scalability of LA, an important challenge in itself. The objective of this review is to assess the current state of LA in terms of data integration in the context of higher education. The initial search of six academic databases and common venues for publishing LA research resulted in 115 publications, out of which 20 were included in the final analysis. The results show that a few data sources (e.g., LMS) appear repeatedly in the research studies; the number of data sources used in LA studies in higher education tends to be limited; when data are integrated, similar data formats are often combined (a low-hanging fruit in terms of technical challenges); the research literature tends to lack details about data integration in the implemented systems; and, despite being a good starting point for data integration, educational data specifications (e.g., xAPI) seem to seldom be used. In addition, the results indicate a lack of stakeholder (e.g., teachers/instructors, technology vendors) involvement in the research studies. The review concludes by offering recommendations to address limitations and gaps in the research reported in the literature. | en |
dc.description.sponsorship | This research is part of JS’s PhD funded by the Centre for the Science of Learning & Technology (SLATE), University of Bergen, Norway. | en |
dc.language.iso | en | en |
dc.publisher | SpringerOpen | en |
dc.relation.ispartofseries | Research and Practice in Technology Enhanced Learning;14, Article number: 11 (2019) | |
dc.rights | 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. | en |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Learning analytics | en |
dc.subject | Higher education | en |
dc.subject | Data integration | en |
dc.subject | Multiple data sources | en |
dc.subject | Interoperabilities | en |
dc.subject | Scalability | en |
dc.title | Integrating multiple data sources for learning analytics—review of literature | en |
dc.type | Journal article | en |
dc.type | Peer reviewed | en |
dc.date.updated | 2020-01-03T11:07:33Z | |
dc.description.version | publishedVersion | en |
dc.identifier.doi | https://dx.doi.org/10.1186/s41039-019-0105-4 | |
dc.identifier.cristin | 1765824 | |
dc.source.journal | Research and Practice of Technology Enhanced Learning |
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Except where otherwise noted, this item's license is described as 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.