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From Anthropocentrism to Post-humanism in the Educational Debate

Bibliographic Data

ID22343268
AuthorsAlessandro Ferrante (University of Milano-Bicocca), Daniele Sartori (0000-0003-3634-0317, Kingston University)
Year2016
Issue4.2
Pages175-193
Publication date2016-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueRelations (JOURNAL)
Journal identifiersISSN: 2283-3196 • E-ISSN: 2280-9643
PublisherLed Edizioni Universitarie (PUBLISHER • IT)
DOI10.7358/rela-2016-002-fesa
OpenAlexW2556178987
LanguageEN
Citations received9
References cited10

This paper explores the impact post-human stance has on the study of the learning process. It shows how this new paradigm which focuses upon the relationship between human and non-human modifies our understanding of education. First, we argue that the educational debate is largely inspired by an anthropocentric perspective. It is grounded in the notion of human self-determination and it neglects the role of non-human factors in the learner’s development. Furthermore, non-humans (both animals and machines) are usually considered as something to be used: in other words, they are instruments. This fact notwithstanding, there is a small minority of contemporary learning theories that investigate the relationship between human and non-human from a non-anthropocentric point of view. An overview of these theories is offered in the second part of the paper. Finally the use of Latour’s Actor-Network Theory (ANT) in educational research will be explored to show one of the possible non-anthropocentric methods of conceiving and investigating the learning process. According to ANT, learning can be interpreted as the effect of a network made up of heterogeneous elements, both human and non-human

Actor–network theory · Anthropocentrism · Environmental ethics · Epistemology · Human being · Humanism · Humanity · Political science · Sociology · Computer Science · Digital Education and Society · Embodied and Extended Cognition · Law · Philosophy · Social Representations and Identity · Artificial Intelligence

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Unique citing works9
Citations per year1.29
Citation span2019 - 2025 (7)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 9

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