The Rise of Mono-disciplinarity: Learning, Economics and the Production of Non-knowledge

Author:

Grek Sotiria

Abstract

AbstractMichael Gibbons, Helga Nowotny and their colleagues saw the transition from Mode 1 to Mode 2 as a process of transcending disciplinary boundaries and structures. They suggested that Mode 1 knowledge production was happening predominantly in academic silos—university departments, schools or research councils. On the contrary, Mode 2 was seen as a mode of knowledge production that would bring different disciplines together in the search of answers to complex social problems; this was the advent of multidisciplinary, or even interdisciplinary, knowledge-making. Policy problems were seen as inherently interdisciplinary—hence the production of knowledge to understand and manage them had to span disciplinary boundaries in order to be useful. This chapter analyses the ways that the production of data for education over the last three decades, despite the complexity and interdependency of policy problems in education, has not been inter- but mono-disciplinary: it has primarily been dependent on the discipline of economics and the ensuing economisation of education policy as the preferred mode of producing knowledge for governing.

Publisher

Springer International Publishing

Reference64 articles.

1. Anderson, K. (2014). The learning metrics task force 2.0: Taking the global dialogues on measuring learning to the country level. Retrieved on 1 September 2021 from https://neqmap.bangkok.unesco.org/wp-content/uploads/2019/06/The-Learning-Metrics-Task-Force-2.0.pdf

2. Aradau, C. (2017). Assembling (non)knowledge: Security, law, and surveillance in a digital world’. International Political Sociology, 11(4), 327–342.

3. Bandola-Gill, J., Grek, S., & Ronzani, M. (2021). Beyond winners and losers: Ranking visualizations as alignment devices in global public policy. Research in the Sociology of Organizations, 74, 2. https://doi.org/10.1108/S0733-558X20210000074027

4. Bandola-Gill, J. (2020, November). The legitimacy of experts in policy: Navigating technocratic and political accountability in the case of global poverty governance. Evidence and Policy: A Journal of Research, Debate and Practice, 17(4), 615–633.

5. Barrett, A. M. (2011). A millennium learning goal for education post-2015: A question of outcomes or processes. Comparative Education, 47(1), 119–133.

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