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Direct linkHoel, Tore; Chen, Weiqin; Pawlowski, Jan M. – Research and Practice in Technology Enhanced Learning, 2020
There is a gap between people's online sharing of personal data and their concerns about privacy. Till now, this gap is addressed by attempting to match individual privacy preferences with service providers' options for data handling. This approach has ignored the role different contexts play in data sharing. This paper aims at giving privacy…
Descriptors: Privacy, Engineering, Context Effect, Information Security
Peer reviewedHoel, Tore; Chen, Weiqin – International Journal of Information and Learning Technology, 2019
Purpose: Privacy is a culturally universal process; however, in the era of Big Data privacy is handled very differently in different parts of the world. This is a challenge when designing tools and approaches for the use of Educational Big Data (EBD) and learning analytics (LA) in a global market. The purpose of this paper is to explore the…
Descriptors: Privacy, Learning Analytics, Information Security, Data
Download full textHoel, Tore; Chen, Weiqin – Journal of Learning Analytics, 2016
Studies have shown that issues of privacy, control of data, and trust are essential to implementation of learning analytics systems. If these issues are not addressed appropriately, systems will tend to collapse due to a legitimacy crisis, or they will not be implemented in the first place due to resistance from learners, their parents, or their…
Descriptors: Privacy, Data Analysis, Computer Oriented Programs, Systems Development
