TY - CHAP
T1 - Data Centres in the University
T2 - From Tools to Symbols of Power and Transformation
AU - Rivera-Vargas, Pablo
AU - Cobo, Cristóbal
AU - Jacovkis, Judith
AU - Passerón, Ezequiel
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - The almost compulsory and compulsive use of digital platforms through which the university community connects to knowledge, research, teaching and management activities has intensified in the pandemic. Faced with this challenge, higher education institutions must address fundamental questions about learning in a postdigital landscape. This chapter explores how universities have created or adapted research centres to deal with data generation in their day-to-day activities. Although the centres analysed in this chapter have different profiles and expertise, they all seek to better prepare higher education institutions to cope with the datafication of society manifested in different ways (e.g. digital inclusion, artificial intelligence, privacy, ethical use of data, etc.). Based on a co-design and virtual ethnography, this work is structured in two phases: (1) identification and analysis of 31 websites affiliated to university datafication centres and (2) selection and deepening on four core dimensions of work of these centres. These comparative results highlight global trends, research agendas and priorities, but also illustrate the need to move towards a more multidisciplinary approach, understanding data not only as “tools” but also as “subjects” with an increasingly economical and symbolic power.
AB - The almost compulsory and compulsive use of digital platforms through which the university community connects to knowledge, research, teaching and management activities has intensified in the pandemic. Faced with this challenge, higher education institutions must address fundamental questions about learning in a postdigital landscape. This chapter explores how universities have created or adapted research centres to deal with data generation in their day-to-day activities. Although the centres analysed in this chapter have different profiles and expertise, they all seek to better prepare higher education institutions to cope with the datafication of society manifested in different ways (e.g. digital inclusion, artificial intelligence, privacy, ethical use of data, etc.). Based on a co-design and virtual ethnography, this work is structured in two phases: (1) identification and analysis of 31 websites affiliated to university datafication centres and (2) selection and deepening on four core dimensions of work of these centres. These comparative results highlight global trends, research agendas and priorities, but also illustrate the need to move towards a more multidisciplinary approach, understanding data not only as “tools” but also as “subjects” with an increasingly economical and symbolic power.
KW - Digital platforms
KW - Educational innovations
KW - Educational technology
KW - University
UR - http://www.scopus.com/inward/record.url?scp=85149993914&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-24193-2_14
DO - 10.1007/978-3-031-24193-2_14
M3 - Chapter
AN - SCOPUS:85149993914
T3 - Higher Education Dynamics
SP - 329
EP - 353
BT - Higher Education Dynamics
PB - Springer Science and Business Media B.V.
ER -