Privacy issues in educational systems
by Dragana Martinovic, Victor Ralevich
International Journal of Internet Technology and Secured Transactions (IJITST), Vol. 1, No. 1/2, 2007

Abstract: Here we consider personal data collection and storage, access control, data mining, and related privacy protection in two different scenarios: online tutoring systems and school-based educational systems. When applying intelligent agents to create an accurate student profile intended to facilitate personalised content delivery, we argue that information collected by an agent needs to be stripped of sensitive personal data. In case of more traditional educational environments within which students' data are collected for variety of administrative purposes, the only way to protect sensitive information is to combine technical security procedures with the existing legal restrictions and policies put in place.

Online publication date: Fri, 10-Aug-2007

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