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Establishing an ethical literacy for learning analytics

Published:24 March 2014Publication History

ABSTRACT

This paper borrows multiple frameworks from the field of technical communication in order to review theory, research, practice, and ethics of the Learning Analytics and Knowledge (LAK) discipline. These frameworks also guide discussion on the ethics of learning analytics "artifacts" (data visualizations, dashboards, and methodology), and the ethical consequences of using learning analytics (classification, social power moves, and absence of voice). Finally, the author suggests a literacy for learning analytics that includes an ethical viewpoint.

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      • Published in

        cover image ACM Other conferences
        LAK '14: Proceedings of the Fourth International Conference on Learning Analytics And Knowledge
        March 2014
        301 pages
        ISBN:9781450326643
        DOI:10.1145/2567574

        Copyright © 2014 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 24 March 2014

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        Acceptance Rates

        LAK '14 Paper Acceptance Rate13of44submissions,30%Overall Acceptance Rate236of782submissions,30%

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