Vol. 10 No. 1 (2023): Fairness, Equity, and Responsibility in Learning Analytics

Published: 2023-03-12

Editorial

• Fairness, Trust, Transparency, Equity, and Responsibility in Learning Analytics

  Mohammad Khalil, Paul Prinsloo, Sharon Slade

  1-7

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Special Section on Fairness, Equity, and Responsibility in Learning Analytics

• Amplifying Student and Administrator Perspectives on Equity and Bias in Learning Analytics Alone Together in Higher Education

  Rebecca E. Heiser, Mary Ellen Dello Stritto, Allen Brown, Benjamin Croft

  8-23

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• Applying a Responsible Innovation Framework in Developing an Equitable Early Alert System: A Case Study

  Chris Patterson, Emily York, Danielle Maxham, Rudy Molina, Paul Mabrey

  24-36

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• The Effects of Explanations in Automated Essay Scoring Systems on Student Trust and Motivation

  Rianne Conijn, Patricia Kahr, Chris Snijders

  37-53

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• Transparency and Trustworthiness in User Intentions to Follow Career Recommendations from a Learning Analytics Tool

  Egle Gedrimiene, Ismail Celik, Kati Mäkitalo, Hanni Muukkonen

  54-70

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• Learning Analytics in Physics Education Equity-Focused Decision-Making Lacks Guidance!

  Adrian Grimm, Anneke Steegh, Marcus Kubsch, Knut Neumann

  71-84

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• “It’s like a double-edged sword”: Mentor Perspectives on Ethics and Responsibility in a Learning Analytics–Supported Virtual Mentoring Program

  Hakeoung Hannah Lee, Emma Gargroetzi

  85-100

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• Learning Analytics and the Abolitionist Imagination

  Shea Swauger, Remi Kalir

  101-112

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• The Promise of MOOCs Revisited? Demographics of Learners Preparing for University

  Michael Meaney, Thomas Fikes

  113-132

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• New Vistas on Responsible Learning Analytics A Data Feminist Perspective

  Teresa Cerratto Pargman, Cormac McGrath, Olga Viberg, Simon Knight

  133-148

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Research Papers

• Six Practical Recommendations Enabling Ethical Use of Predictive Learning Analytics in Distance Education

  Irina Rets, Christothea Herodotou, Anna Gillespie

  149-167

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• Serious Game Analytics by Design: Feature Generation and Selection Using Game Telemetry and Game Metrics Toward Predictive Model Construction

  Wenyi Lu, Joe Griffin, Troy D. Sadler, James Laffey, Sean P. Goggins

  168-188

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