A Call to Action on Artificial Intelligence and Social Work Education: Lessons Learned from a Simulation Project Using Natural Language Processing

Autor/inn/en	Asakura, Kenta; Occhiuto, Katherine; Todd, Sarah; Leithead, Cedar; Clapperton, Robert
Titel	A Call to Action on Artificial Intelligence and Social Work Education: Lessons Learned from a Simulation Project Using Natural Language Processing
Quelle	In: Journal of Teaching in Social Work, 40 (2020) 5, S.501-518 (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Asakura, Kenta) ORCID (Occhiuto, Katherine) ORCID (Todd, Sarah) ORCID (Clapperton, Robert)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0884-1233
DOI	10.1080/08841233.2020.1813234
Schlagwörter	Social Work; Artificial Intelligence; Partnerships in Education; School Business Relationship; Natural Language Processing; Computer Simulation; Social Bias; Client Characteristics (Human Services); Communities of Practice; Inquiry; Scaffolding (Teaching Technique); Cooperative Learning; Technology Integration; Undergraduate Students; Foreign Countries; Canada (Toronto) + Suchen Sie Ihr Suchwort? Soziale Arbeit; Künstliche Intelligenz; Hochschulpartnerschaft; Natürliche Sprache; Computergrafik; Computersimulation; Community; Kooperatives Lernen; Ausland
Abstract	In discussing a university-industry partnership on the development of an Artificial Intelligence (AI)-based simulation platform, this conceptual paper explores the use of Natural Language Processing (NLP) as a pedagogical innovation in social work. Critically reflecting upon this ongoing project, we discuss the current promises and limitations of NLP for social work education. The Community of Inquiry (CoI) framework theoretically informs "lessons learned" from this case study and provides a call to action for social work educators to play a greater role in developing and researching pedagogies supported by currently evolving AI technologies. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01