Student privacy and educational data mining: perspectives from industry

Conference item

While the field of educational data mining (EDM) has generated many innovations for improving educational software and student learning, the mining of student data has recently come under a great deal of scrutiny. Many stakeholder groups, including public officials, media outlets, and parents, have voiced concern over the privacy of student data and their efforts have garnered national attention. The momentum behind and scrutiny of student privacy has made it increasingly difficult for EDM applications to transition from academia to industry. Based on experience as academic researchers transitioning into industry, we present three primary areas of concern related to student privacy in practice: policy, corporate social responsibility, and public opinion. Our discussion will describe the key challenges faced within these categories, strategies for overcoming them, and ways in which the academic EDM community can support the adoption of innovative technologies in large-scale production.

Authors: Sabourin, J; Kosturko, L; Clare Fitzgerald; McQuiggan, S

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: International Educational Data Mining Society
• Host title: Proceedings of the International Conference on Educational Data Mining
• Pages: 164-170
• Publication date: 2015-06-26
• Acceptance date: 2015-06-01
• Event title: Eighth International Conference on Educational Data Mining (EDM 2015)
• Event location: Madrid, Spain
• Event website: https://www.educationaldatamining.org/EDM2015/
• Event start date: 2015-06-26
• Event end date: 2015-06-29
• ISBN: 9788460694250
• Language: English
• Keywords: policy; student data; student privacy; SBTMR