Ethical Considerations and Student Perceptions of Engagement Data in Learning Analytics

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dc.contributor.authorKarimov, Ayaz
dc.contributor.authorSaarela, Mirka
dc.contributor.authorAliyev, Samir
dc.contributor.authorBaker, Ryan
dc.date.accessioned2024-12-26T21:08:30Z
dc.date.available2024-12-26T21:08:30Z
dc.date.issued2025-01-07
dc.description.abstractThe ethical use of engagement data in online education is a growing concern as institutions increasingly rely on learning analytics. This study explores students' perceptions of engagement data collection and usage by focusing on their attitudes towards privacy and data management. We conducted a survey among students (n=108) who participated in online education to understand their views on data collection practices, privacy concerns, and preferences for data handling. The results demonstrate that while many students are comfortable with their engagement data being used for personal and instructor dashboards, significant concerns remain about privacy, particularly with the collection of facial expressions and chat participation data. Students emphasized the importance of transparency and control over their data and they highlighted the need for clear communication and consent processes. These findings illustrate the necessity for ethical data practices that ensure students feel secure and informed about how their engagement data is utilized.
dc.format.extent10
dc.identifier.doi10.24251/HICSS.2025.572
dc.identifier.isbn978-0-9981331-8-8
dc.identifier.other8886c8c3-760a-48b2-b084-996611b9c420
dc.identifier.urihttps://hdl.handle.net/10125/109419
dc.relation.ispartofProceedings of the 58th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectComputing Education
dc.subjectdata ethics, engagement data, ethical concerns, online education, student engagement
dc.titleEthical Considerations and Student Perceptions of Engagement Data in Learning Analytics
dc.typeConference Paper
dc.type.dcmiText
prism.startingpage4754

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