Literaturnachweis - Detailanzeige
Autor/inn/en | Prinsloo, Paul; Slade, Sharon; Khalil, Mohammad |
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Titel | At the Intersection of Human and Algorithmic Decision-Making in Distributed Learning |
Quelle | In: Journal of Research on Technology in Education, 55 (2023) 1, S.34-47 (14 Seiten)
PDF als Volltext |
Zusatzinformation | ORCID (Prinsloo, Paul) ORCID (Khalil, Mohammad) |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 1539-1523 |
DOI | 10.1080/15391523.2022.2121343 |
Schlagwörter | Decision Making; Algorithms; Artificial Intelligence; Cost Effectiveness; Ethics; Learning Processes; Barriers; Dropout Rate; Institutional Characteristics; Guidelines; Robotics; Correlation; Educational Quality; Academic Advising; Formative Evaluation; Summative Evaluation; School Registration; Learning Analytics; College Admission; Distance Education Decision-making; Entscheidungsfindung; Algorithm; Algorithmus; Künstliche Intelligenz; Kosten-Nutzen-Analyse; Kosten-Nutzen-Denken; Ethik; Learning process; Lernprozess; Richtlinien; Robotertechnik; Korrelation; Quality of education; Bildungsqualität; Akademischer Rat; Schulanmeldung; Hochschulzugang; Hochschulzulassung; Zulassung; Distance study; Distance learning; Fernunterricht |
Abstract | This article seeks to explore different combinations of human and Artificial Intelligence (AI) decision-making in the context of distributed learning. Distributed learning institutions face specific challenges such as high levels of student attrition and ensuring quality, cost-effective student support at scale using a range of technologies, such as AI. While there is an expanding body of research on AI in education (AIEd), this conceptual article proposes that combinations of human-algorithmic decision-making systems need careful and critical consideration, not only for their potential, but also for their appropriateness and ethical considerations. We operationalize a framework designed to consider robot autonomy at four key events in students' learning journeys, namely (1) admission and registration; (2) student advising and support; (3) augmenting pedagogy; and (4) formative and summative assessment. We conclude the article by providing pointers for operationalizing options in human-algorithmic decision-making in distributed learning contexts. (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 |