Learning Analytics and Fairness: Do Existing Algorithms Serve Everyone Equally?-Reference-Cited by-同舟云学术

Learning Analytics and Fairness: Do Existing Algorithms Serve Everyone Equally?

Published:2021 Issue: Volume: Page:71-75
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Bayer Vaclav^ORCID,Hlosta Martin^ORCID,Fernandez Miriam^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-78270-2_12

Reference13 articles.

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3. AdvanceHE: Degree attainment gaps (2017). https://www.advance-he.ac.uk/guidance/equality-diversity-and-inclusion/student-recruitment-retention-and-attainment/degree-attainment-gaps. Accessed 08 Feb 2021

4. Amos, V.: Black, Asian and minority ethnic student attainment at UK universities: closing the gap (2019). https://www.universitiesuk.ac.uk/policy-and-analysis/reports/Documents/2019/bame-student-attainment-uk-universities-closing-the-gap.pdf

5. Anderson, H., Boodhwani, A., Baker, R.S.: Assessing the fairness of graduation predictions. In: EDM 2019, pp. 488–491 (2019)

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