Responsible learning analytics: creating just, ethical, and caring

Cerratto Pargman, Teresa; McGrath, Cormac; Viberg, Olga; Kitto, Kirsty; Knight, Simon and Ferguson, Rebecca (2021). Responsible learning analytics: creating just, ethical, and caring. In: Companion Proceedings 11th International Conference on Learning Analytics & Knowledge (LAK21).

Abstract

Ethical considerations and the values embedded in the design, development, deployment, and use of Learning Analytics (LA) systems have received considerable attention in recent years. Ethical frameworks, design guidelines, principles, checklists, and a code of practice have contributed a conceptual basis for focused discussions on ethics in LA. However, relatively little is known about how these different conceptual understandings of ethics work in practice.
This half-day interactive workshop aims to provide participants with a space for information, dialogue, and collaboration around Responsible LA. The workshop will begin with a brief overview of Responsible LA. After that, the participants will present their cases drawing attention to the ethical considerations covered and not covered in LA practices. Following this, participants in groups will discuss the cases illustrating ethical tensions and create semantic categories to document such edge cases. The collected edge cases will be shared in a wiki or database. The workshop outcomes will help inform LA practitioners on ethical tensions that need to be discussed with care while highlighting places where more research work is required.

Viewing alternatives

Item Actions

Export

You can export this page using these formats