A Pedagogy of Data and Artificial Intelligence for Student Subjectification

Autor/inn/en	Loftus, Mary; Madden, Michael G.
Titel	A Pedagogy of Data and Artificial Intelligence for Student Subjectification
Quelle	In: Teaching in Higher Education, 25 (2020) 4, S.456-475 (20 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1356-2517
DOI	10.1080/13562517.2020.1748593
Schlagwörter	Teaching Methods; Data Analysis; Literacy; Learning Processes; Correlation; Teacher Student Relationship; Cooperative Learning; Computer Assisted Instruction; Bayesian Statistics; Undergraduate Students; Computer Science Education; Foreign Countries; Creativity; Problem Solving; Inferences; Networks; Ireland + Suchen Sie Ihr Suchwort? Teaching method; Lehrmethode; Unterrichtsmethode; Auswertung; Alphabetisierung; Schreib- und Lesefähigkeit; Learning process; Lernprozess; Korrelation; Teacher student relationships; Lehrer-Schüler-Beziehung; Kooperatives Lernen; Computer based training; Computerunterstützter Unterricht; Computer science lessons; Informatikunterricht; Ausland; Kreativität; Problemlösen; Inference; Inferenz; Irland
Abstract	How do we teach and learn with our students about data literacy, at the same time as Biesta (2015) calls for an emphasis on 'subjectification' i.e. 'the coming into presence of unique individual beings'? (Good Education in an Age of Measurement: Ethics, Politics, Democracy. Routledge) Our response to these challenges and the datafication of higher education, is a hands-on approach to building an open, collaborative pedagogy of data literacy, based on Bayesian Networks (BNs) (Pearl, J. 1985. "Bayesian Networks: A Model of Self-Activated Memory for Evidential Reasoning." Los Angeles: University of California (Computer Science Department)). BNs can be used to merge subjective views of the learning process with objective data analysis from the learning environment; BNs are visual data constructs and, unlike other Machine Learning approaches that obfuscate and complexify, BNs can be developed to reveal relationships from observations. In this paper, we share ways in which teachers and students can work together in a praxis approach to use data to 'read the world' around them (Freire, P. 1970. "Pedagogy of the Oppressed." New York: Continuum. 125). (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