学习分析应用程序设计中的道德和隐私问题

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge Pub Date : 2016-04-25 DOI:10.1145/2883851.2883933

H. Drachsler, T. Hoel, A. Cooper, G. Kismihók, Alan Berg, Maren Scheffel, Weiqin Chen, Rebecca Ferguson

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引用次数: 7

摘要

与道德和隐私相关的问题已经成为学习分析技术大规模应用的主要障碍。最近，学习分析社区总体上更积极地解决了EP4LA问题，我们现在开始看到学习分析解决方案的设计不仅是事后的想法，而且考虑到这些问题。第二届EP4LA@LAK16研讨会将把关于学习分析的道德和隐私的讨论提升到一个新的水平，帮助建立一个LA解决方案的组织和技术设计议程，解决学习分析工作流程的不同过程。

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Ethical and privacy issues in the design of learning analytics applications

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.

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Proceedings of the Sixth International Conference on Learning Analytics & Knowledge

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