@inproceedings{e136c00294a24d91bd7258b3e1521ce3,
title = "Subversive learning analytics",
abstract = "This paper puts forth the idea of a subversive stance on learning analytics as a theoretically-grounded means of engaging with issues of power and equity in education and the ways in which they interact with the usage of data on learning processes. The concept draws on efforts from fields such as socio-technical systems and critical race studies that have a long history of examining the role of data in issues of race, gender and class. To illustrate the value that such a stance offers the field of learning analytics, we provide examples of how taking a subversive perspective can help us to identify tacit assumptions-in-practice, ask generative questions about our design processes and consider new modes of creation to produce tools that operate differently in the world.",
keywords = "Critical frameworks, Educational equity, Subversive stance",
author = "Wise, {Alyssa Friend} and Sarmiento, {Juan Pablo} and Maurice Boothe",
note = "Publisher Copyright: {\textcopyright} 2021 ACM.; 11th International Conference on Learning Analytics and Knowledge: The Impact we Make: The Contributions of Learning Analytics to Learning, LAK 2021 ; Conference date: 12-04-2021 Through 16-04-2021",
year = "2021",
month = apr,
day = "12",
doi = "10.1145/3448139.3448210",
language = "English (US)",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "639--645",
booktitle = "LAK 2021 Conference Proceedings - The Impact we Make",
}