Content-type: text/html Downes.ca ~ Stephen's Web ~ The Pursuit of Patterns in Educational Data Mining as a Threat to Student Privacy

Stephen Downes

Knowledge, Learning, Community

I have often been assured that the data I submit on some survey or another will be stored anonymously. I always laugh and say, "everyone will know it's me." And it's true - it's not hard at all to pick my submission out from a crowd. It's usually one of a kind. It's this kind of risk that the study published here analyzes and quantifies. For example, if the only 24-year old male in the class failed, everyone knows who it was that failed. Or that the person who made six posts got a score of 6,5 (illustrated).This risk is typically left unanalyzed and not communicated to study participants. "The 'trade-off' between preserving privacy and preserving the value of information or preventing utility loss upon data anonymisation is a challenge, requires numerous data records and of course, analysts with certain skills.

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Stephen Downes Stephen Downes, Casselman, Canada
stephen@downes.ca

Copyright 2024
Last Updated: Apr 26, 2024 12:37 p.m.

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