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Prinsloo, Paul; Slade, Sharon; Khalil, Mohammad – British Journal of Educational Technology, 2023
Since the emergence of learning analytics (LA) in 2011 as a distinct field of research and practice, multimodal learning analytics (MMLA), shares an interdisciplinary approach to research and practice with LA in its use of technology (eg, low cost sensors, wearable technologies), the use of artificial intelligence (AI) and machine learning (ML),…
Descriptors: Multimedia Instruction, Learning Analytics, Privacy, Student Rights
Prinsloo, Paul; Kaliisa, Rogers – British Journal of Educational Technology, 2022
Whilst learning analytics is still nascent in most African higher education institutions, many African higher education institutions use learning platforms and analytic services from providers "outside" of the African continent. A critical consideration of the protection of data privacy on the African continent and its implications for…
Descriptors: Foreign Countries, Information Security, Privacy, Data
Slade, Sharon; Prinsloo, Paul; Khalil, Mohammad – Information and Learning Sciences, 2023
Purpose: The purpose of this paper is to explore and establish the contours of trust in learning analytics and to establish steps that institutions might take to address the "trust deficit" in learning analytics. Design/methodology/approach: "Trust" has always been part and parcel of learning analytics research and practice,…
Descriptors: Trust (Psychology), Learning Analytics, Privacy, Artificial Intelligence
Prinsloo, Paul; Slade, Sharon; Khalil, Mohammad – British Journal of Educational Technology, 2022
Evidence shows that appropriate use of technology in education has the potential to increase the effectiveness of, eg, teaching, learning and student support. There is also evidence that technology can introduce new problems and ethical issues, e.g., student privacy. This article maps some limitations of technological approaches that ensure…
Descriptors: Student Records, Data, Privacy, Learning Analytics

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