Machine Behaviourism: Future Visions of 'Learnification' and 'Datafication' across Humans and Digital Technologies

Autor/inn/en	Knox, Jeremy; Williamson, Ben; Bayne, Sian
Titel	Machine Behaviourism: Future Visions of 'Learnification' and 'Datafication' across Humans and Digital Technologies
Quelle	In: Learning, Media and Technology, 45 (2020) 1, S.31-45 (15 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Knox, Jeremy) ORCID (Williamson, Ben) ORCID (Bayne, Sian)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1743-9884
DOI	10.1080/17439884.2019.1623251
Schlagwörter	Data Collection; Data Analysis; Artificial Intelligence; Man Machine Systems; Student Behavior; Computer Software; Learning; Educational Research; Behavioral Sciences; Educational Technology + Suchen Sie Ihr Suchwort? Data capture; Datensammlung; Auswertung; Künstliche Intelligenz; Mensch-Maschine-System; Student behaviour; Schülerverhalten; Lernen; Bildungsforschung; Pädagogische Forschung; Unterrichtsmedien
Abstract	This paper examines visions of 'learning' across humans and machines in a near-future of intensive data analytics. Building upon the concept of 'learnification', practices of 'learning' in emerging big data-driven environments are discussed in two significant ways: the "training" of machines, and the "nudging" of human decisions through digital choice architectures. Firstly, 'machine learning' is discussed as an important example of how data-driven technologies are beginning to influence educational activity, both through sophisticated technical expertise and a grounding in behavioural psychology. Secondly, we explore how educational software design informed by behavioural economics is increasingly intended to frame learner choices to influence and 'nudge' decisions towards optimal outcomes. Through the growing influence of 'data science' on education, behaviourist psychology is increasingly and powerfully invested in future educational practices. Finally, it is argued that future education may tend toward very specific forms of behavioural governance -- a 'machine behaviourism' -- entailing combinations of radical behaviourist theories and machine learning systems, that appear to work against notions of student autonomy and participation, seeking to intervene in educational conduct and shaping learner behaviour towards predefined aims. (As Provided).
Anmerkungen	Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01