Cited by 99Ethics and Social Impacts of AIEthics in Business and EducationInnovation, Sustainability, Human-Machine Systems

Attitude of college students towards ethical issues of artificial intelligence in an international university in Japan

Ghotbi, Nader, Ho, Manh Tung, Mantello, Peter·2022·AI & SOCIETY

Integrity signals

Registry

Crossref · 10.1007/s00146-021-01168-2

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5 of 5 references verified0 citation errors · 0 not checkable

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  • Students' perceptions of AI's usefulness and learning value do not directly lead to improved problem-solving skills via self-regulated learning mechanisms.

    “This observation corresponds with patterns noted in the critical thinking domain, suggesting that students' perceptions of AI's usefulness and learning value do not directly lead to improved problem-solving skills via self-regulated learning mechanisms, similar to the findings of Ghotbi et al. [39] and Chan and Hu [40].”
  • Students were apprehensive about GenAI, which may hinder critical thinking and creativity, and the impact of GenAI on job prospects and human values.

    “Additionally, students were apprehensive about GenAI, which may hinder critical thinking and creativity, and the impact of GenAI on job prospects (Ghotbi et al., 2022; Gong et al., 2019; Park et al., 2020) and human values (Gillissen et al., 2022; Jha et al., 2022).”

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Authors
Ghotbi, N., Ho, M. T., & Mantello, P.
Affiliations
Ritsumeikan Asia Pacific University (JP)
Corresponding author
Ghotbi, Nader
Venue
AI & SOCIETY
Published
2021-03-10
Volume
37
Issue
1
Pages
283-290
ISSN
  • 0951-5666 (ISSN-L)
  • 1435-5655
OpenAlex
W3135754863
Cited by
99
References
5
Citations by year
2026: 20 · 2025: 30 · 2024: 22 · 2023: 14 · 2022: 8 · 2021: 5
FWCI
15.33
Type
journal article
Language
en
Open access
closed
Locations
AI & Society (publishedVersion)
Topics
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Social Sciences › Decision Sciences › Information Systems and Management › Ethics in Business and Education
  • Social Sciences › Sociology and Political Science › Innovation, Sustainability, Human-Machine Systems
Keywords
AI ethics, student attitudes, moral perception, international university students, affective computing, AI policy

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