Ethical and Privacy Issues in the Design of Learning Analytics Applications

Drachsler, Hendrik; Hoel, Tore; Cooper, Adam; Kismihók, Gábor; Berg, Alan; Scheffel, Maren; Chen, Weiqin and Ferguson, Rebecca (2016). Ethical and Privacy Issues in the Design of Learning Analytics Applications. In: LAK '16: Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, ACM, New York, pp. 492–493.

DOI: https://doi.org/10.1145/2883851.2883933

Abstract

Issues related to Ethics and Privacy have become a major stumbling block in application of Learning Analytics technologies on a large scale. Recently, the learning analytics community at large has more actively addressed the EP4LA issues, and we are now starting to see learning analytics solutions that are designed not only as an afterthought, but also with these issues in mind. The 2nd EP4LA@LAK16 workshop will bring the discussion on ethics and privacy for learning analytics to a the next level, helping to build an agenda for organizational and technical design of LA solutions, addressing the different processes of a learning analytics workflow.

Viewing alternatives

Metrics

Item Actions

Export

You can export this page using these formats Digital Object Identifier - DOI

About

• Item ORO ID
• 45317
• Item Type
• Conference or Workshop Item
• ISBN
• 1-4503-4190-X, 978-1-4503-4190-5
• Project Funding Details

• Funded Project Name	Project ID	Funding Body
  LACE project	619424	European Commission Seventh Framework Programme

• Keywords
• architectures; data sharing; informing policy; interfaces for learning analytics; management of learning interventions or settings; open data and data access for learners
• Academic Unit or School
• Institute of Educational Technology (IET)
• Copyright Holders
• © 2016 The Authors
• Related URLs
• • http://lak16.solaresearch.org/(Other)
• Depositing User
• Rebecca Ferguson