Call for papers for Special Issue in Journal of Learning Analytics lead by SLATE’s Senior Researcher Mohammad Khalil

March 14, 2022

It is with a great pleasure to inform that SLATE’s Senior Researcher Mohammad Khalil is leading Special Section on Fairness, Equity, and Responsibility in Learning Analytics in Journal of Learning Analytics. Authors interested in submitting to the special issue are highly encouraged.

Fairness, equity and responsibility have been part and parcel of discourses in and outside of the learning analytics community since its emergence. The special issue intends to bring diverse and critical perspectives as well as approaches pertaining to fairness, equity and responsibility of learning analytics to highlight emerging and current conceptual and empirical research, and inform the broader research agenda in learning analytics. Guest editors invite papers focused on a range of topics:

- Learning Analytics, AI and equity, fairness and responsibility: Issues of design, transparency, accountability and governance
- The design, implementation, risks and benefits of learning analytics for minority and disadvantaged groups, such as: students with disability, subcategories of unexplored demographic categories, migrants, etc.
- Theoretical perspectives on fairness, equity and responsibility in learning analytics, e.g., data feminism, intersectionality, Critical Data Studies, and others
- Case studies of institutionalised approaches to improve/ensure fairness, equity and responsibility in learning analytics
- Stakeholder (e.g., students, faculty, management, ICT, etc.) views on fairness, equity and responsibility
- Scoping and systematic reviews on fairness, equity and responsibility in learning analytics
- Policy and framework analysis and/or development to ensure fairness, equity and responsibility in learning analytics
- The relationships/intersections of ethics in learning analytics with fairness, equity, and responsibility
- Policy and framework analysis and/or development to ensure fairness, equity and responsibility in learning analytics
- The relationships/intersections of ethics in learning analytics with fairness, equity, and responsibility

Read more at: https://learning-analytics.info/index.php/JLA/announcement/view/177

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