Investigating the dimensions of students’ privacy concern in the collection, use and sharing of data for learning analytics
The datafication of learning has created vast amounts of digital data which may contribute to enhancing teaching and learning. While researchers have successfully used learning analytics, for instance, to improve student retention and learning design, the topic of privacy in learning analytics from...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-03-01
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| Series: | Computers in Human Behavior Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2451958822000963 |
| _version_ | 1828001805379829760 |
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| author | Maina Korir Sharon Slade Wayne Holmes Yingfei Héliot Bart Rienties |
| author_facet | Maina Korir Sharon Slade Wayne Holmes Yingfei Héliot Bart Rienties |
| author_sort | Maina Korir |
| collection | DOAJ |
| description | The datafication of learning has created vast amounts of digital data which may contribute to enhancing teaching and learning. While researchers have successfully used learning analytics, for instance, to improve student retention and learning design, the topic of privacy in learning analytics from students' perspectives requires further investigation. Specifically, there are mixed results in the literature as to whether students are concerned about privacy in learning analytics. Understanding students' privacy concern, or lack of privacy concern, can contribute to successful implementation of learning analytics applications in higher education institutions. This paper reports on a study carried out to understand whether students are concerned about the collection, use and sharing of their data for learning analytics, and what contributes to their perspectives. Students in a laboratory session (n = 111) were shown vignettes describing data use in a university and an e-commerce company. The aim was to determine students' concern about their data being collected, used and shared with third parties, and whether their concern differed between the two contexts. Students' general privacy concerns and behaviours were also examined and compared to their privacy concern specific to learning analytics. We found that students in the study were more comfortable with the collection, use and sharing of their data in the university context than in the e-commerce context. Furthermore, these students were more concerned about their data being shared with third parties in the e-commerce context than in the university context. Thus, the study findings contribute to deepening our understanding about what raises students’ privacy concern in the collection, use and sharing of their data for learning analytics. We discuss the implications of these findings for research on and the practice of ethical learning analytics. |
| first_indexed | 2024-04-10T06:34:32Z |
| format | Article |
| id | doaj.art-db36c21c26224ffdbf93332126927336 |
| institution | Directory Open Access Journal |
| issn | 2451-9588 |
| language | English |
| last_indexed | 2024-04-10T06:34:32Z |
| publishDate | 2023-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Computers in Human Behavior Reports |
| spelling | doaj.art-db36c21c26224ffdbf933321269273362023-03-01T04:32:39ZengElsevierComputers in Human Behavior Reports2451-95882023-03-019100262Investigating the dimensions of students’ privacy concern in the collection, use and sharing of data for learning analyticsMaina Korir0Sharon Slade1Wayne Holmes2Yingfei Héliot3Bart Rienties4School of Engineering, Arts, Science and Technology, University of Suffolk, Waterfront Building, 19 Neptune Quay, Ipswich, IP1 1QJ, UK; Corresponding author. School of Engineering, Arts, Science and Technology, University of Suffolk, Waterfront Building, 19 Neptune Quay, Ipswich, IP4 1QJ, UK.Earth Trust, Abingdon, Oxfordshire, UKUCL Institute of Education, University College London, London, UKSurrey Business School, University of Surrey, Guildford, Surrey, UKInstitute of Educational Technology, The Open University, Walton Hall, Milton Keynes, MK7 6AA, UKThe datafication of learning has created vast amounts of digital data which may contribute to enhancing teaching and learning. While researchers have successfully used learning analytics, for instance, to improve student retention and learning design, the topic of privacy in learning analytics from students' perspectives requires further investigation. Specifically, there are mixed results in the literature as to whether students are concerned about privacy in learning analytics. Understanding students' privacy concern, or lack of privacy concern, can contribute to successful implementation of learning analytics applications in higher education institutions. This paper reports on a study carried out to understand whether students are concerned about the collection, use and sharing of their data for learning analytics, and what contributes to their perspectives. Students in a laboratory session (n = 111) were shown vignettes describing data use in a university and an e-commerce company. The aim was to determine students' concern about their data being collected, used and shared with third parties, and whether their concern differed between the two contexts. Students' general privacy concerns and behaviours were also examined and compared to their privacy concern specific to learning analytics. We found that students in the study were more comfortable with the collection, use and sharing of their data in the university context than in the e-commerce context. Furthermore, these students were more concerned about their data being shared with third parties in the e-commerce context than in the university context. Thus, the study findings contribute to deepening our understanding about what raises students’ privacy concern in the collection, use and sharing of their data for learning analytics. We discuss the implications of these findings for research on and the practice of ethical learning analytics.http://www.sciencedirect.com/science/article/pii/S2451958822000963Privacy concernContextual integrityLearning analytics |
| spellingShingle | Maina Korir Sharon Slade Wayne Holmes Yingfei Héliot Bart Rienties Investigating the dimensions of students’ privacy concern in the collection, use and sharing of data for learning analytics Computers in Human Behavior Reports Privacy concern Contextual integrity Learning analytics |
| title | Investigating the dimensions of students’ privacy concern in the collection, use and sharing of data for learning analytics |
| title_full | Investigating the dimensions of students’ privacy concern in the collection, use and sharing of data for learning analytics |
| title_fullStr | Investigating the dimensions of students’ privacy concern in the collection, use and sharing of data for learning analytics |
| title_full_unstemmed | Investigating the dimensions of students’ privacy concern in the collection, use and sharing of data for learning analytics |
| title_short | Investigating the dimensions of students’ privacy concern in the collection, use and sharing of data for learning analytics |
| title_sort | investigating the dimensions of students privacy concern in the collection use and sharing of data for learning analytics |
| topic | Privacy concern Contextual integrity Learning analytics |
| url | http://www.sciencedirect.com/science/article/pii/S2451958822000963 |
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