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Other literature type . 2021
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Project deliverable . 2021
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Other literature type . 2021
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Data Activism in higher education, a scholarly commitment

Authors: Juliana Elisa Raffaghelli; Caroline Kuhn; Quelic Berga;

Data Activism in higher education, a scholarly commitment

Abstract

This deliverable is part of the Open Educational Resource generated under the project "Understanding Data: Politics & Praxis" https://datapraxis.net/ In this module we will explore the concepts of readability, agency and negotiability applied to learning analytics. We will learn how datafication in the field of educational platforms affects university teachers and their work. We will finish this journey by suggesting that the technological advances that lead to the use of data-driven techniques cannot be passively experienced by teachers. Rather, they must be continuously active in pushing for the readability of data infrastructures and participating in the negotiation processes related to the oversight and privacy of students and of the teachers themselves. University teachers' ultimate goal is to be involved and committed, to play an active role, i.e., to have "agency" with respect to data technologies and infrastructures, in a journey that is made at the same time as the technology is developed, rather than passively accepting it after the event. This is why we will speak of "data activism". As learning analytics become more popular and some experimental and commercial applications are rolled out, university teachers need to pay attention to how technologies become part of their educational experiences and what values and imaginaries are assigned to data in teaching and learning. Specifically, it is necessary to consider the economic interests and the desire to control behaviour underlying many of the technological solutions put forward as a panacea producing information that makes teaching better, easier or more accurately targeted. Thus, our journey will start from the exploration of the concept and applications of learning analytics and its objective of supporting more effective behavioural patterns in teachers and students. Going beyond the techno-solutionism that has frequently permeated discourses and research on learning analytics, we will focus on critical literature concerning the use of educational data and, in particular, the associated ethical concerns. In order to find a balance between techno-enthusiasm and techno-disillusionment, we will look at cases that examine data in education from complex, interdisciplinary and participatory perspectives. Finally, we will consider the value of data activism in education, as a mindset and attitude that implies a critical and transformative perspective towards the evolving techno-structure, requiring agency, negotiability and readability as the means to build fair data cultures in higher education and in society.

Keywords

Learning Analytics, Students' Data, Pedagogy, Equity, Ethics

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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