Learning to Work with the Black Box: Pedagogy for a World with Artificial Intelligence

Autor/inn/en	Bearman, Margaret; Ajjawi, Rola
Titel	Learning to Work with the Black Box: Pedagogy for a World with Artificial Intelligence
Quelle	In: British Journal of Educational Technology, 54 (2023) 5, S.1160-1173 (14 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Bearman, Margaret) ORCID (Ajjawi, Rola)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0007-1013
DOI	10.1111/bjet.13337
Schlagwörter	Higher Education; Artificial Intelligence; Educational Strategies; College Students; Standards; Interaction; Concept Formation; Context Effect; Ambiguity (Context) + Suchen Sie Ihr Suchwort? Hochschulbildung; Hochschulsystem; Hochschulwesen; Künstliche Intelligenz; Lehrstrategie; Collegestudent; Standard; Interaktion; Concept learning; Begriffsbildung
Abstract	Artificial intelligence (AI) is increasingly integrating into our society. University education needs to maintain its relevance in an AI-mediated world, but the higher education sector is only beginning to engage deeply with the implications of AI within society. We define AI according to a relational epistemology, where, in the context of a particular interaction, a computational artefact provides a judgement about an optimal course of action and that this judgement cannot be traced. Therefore, by definition, AI must always act as a 'black box'. Rather than seeking to explain 'black boxes', we argue that a pedagogy for an AI-mediated world involves learning to work with opaque, partial and ambiguous situations, which reflect the entangled relationships between people and technologies. Such a pedagogy asks learners locate AI as socially bounded, where AI is always understood within the contexts of its use. We outline two particular approaches to achieve this: (a) orienting students to quality standards that surround AIs, what might be called the tacit and explicit 'rules of the game'; and (b) providing meaningful interactions with AI systems. (As Provided).
Anmerkungen	Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01