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Human-AI Decision-Making in Higher Education

Year: 2025

Type: conference-paper

Abstract: Findings from an online study and focus groups show that students and staff were receptive to AI decision-making in higher education, highlighting transparency and equitability. Even so, students expressed a desire for creative work to be seen by a ‘fellow human’, suggesting potential for a collaborative human/AI approach. However, a follow-up study revealed that this solution was in fact perceived as less desirable than either a human- or, in some cases, an AI-only decision maker.

Source: Repository@Nottingham (University of Nottingham)

Authors: Large, David, Houghton, Robert, Zhai, Xinrui, Li, Zhuojun

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W7066719637

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