L’utilisation de données psychophysiologiques pour mieux comprendre l’apprentissage en temps réel : le fragile équilibre entre la validité des données et l’authenticité des contextes de collecte de données

Neurotechnology is an advancing field of research and development with significant implications for education. As 'postdigital' hybrids of biological and informational codes, novel neurotechnologies combine neuroscience insights into the human brain with advanced technical development in brain imaging, brain-computer interfaces, neurofeedback platforms, brain stimulation and other neuroenhancement applications. Merging neurobiological knowledge about human life with computational technologies, neurotechnology exemplifies how postdigital science will play a significant role in societies and education in decades to come. As neurotechnology developments are being extended to education, they present potential for businesses and governments to enact new techniques of 'neurogovernance' by 'scanning' the brain, 'scraping' it for data and then 'sculpting' the brain toward particular capacities. The aim of this article is to critically review neurotechnology developments and implications for education. It examines the purposes to which neurotechnology development is being put in education, interrogating the commercial and governmental objectives associated with it and the neuroscientific concepts and expertise that underpin it. Finally, the article raises significant ethical and governance issues related to neurotechnology development and postdigital science that require concerted attention from education researchers.The human brain has become the focus of concerted attention among policymakers, the media and the public as neuroscientific understandings have left the laboratory to shape how societies understand human life and social affairs (Rose and Abi-Rached 2013). Technical innovations in computing software and data analytics now appear to promise to make human neurology amenable to inspection without the need for complex clinical or medical apparatuses, making the generation of digital 'brain data' possible in 'real time'

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L’utilisation de données psychophysiologiques pour mieux comprendre l’apprentissage en temps réel : le fragile équilibre entre la validité des données et l’authenticité des contextes de collecte de données

Cited by 2 publications

References 19 publications

Neurotechnologies, Ethics, and the Limits of Free Will

Neurotechnologies, Ethics, and the Limits of Free Will

Brain Data: Scanning, Scraping and Sculpting the Plastic Learning Brain Through Neurotechnology

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