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Generative AI in Academia: How Engineering Students Perceive and Approach Ethical Challenges.

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Title: Generative AI in Academia: How Engineering Students Perceive and Approach Ethical Challenges.
Authors: Hariyanto, Didik1, didik_hr@staff.uny.ac.id, Rafiq, Arif Ainur2, aar@pnc.ac.id, Triyono, Mochammad Bruri1, bruritriyono@uny.ac.id, Murniati, Dewi Eka1, dewi_ekamurniati@uny.ac.id, Adinda, Dina3, dadinda@parisnanterre.fr, Prihandini, Tinesa Fara1, tinesafara.2022@student.uny.ac.id
Source: International Journal of Online & Biomedical Engineering; 2026, Vol. 22 Issue 2, p154-189, 36p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 191509290
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Online+%26+Biomedical+Engineering%22">International Journal of Online & Biomedical Engineering</searchLink>; 2026, Vol. 22 Issue 2, p154-189, 36p
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        Value: 10.3991/ijoe.v22i02.59281
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        Text: English
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        StartPage: 154
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      – TitleFull: Generative AI in Academia: How Engineering Students Perceive and Approach Ethical Challenges.
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              Text: 2026
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              Y: 2026
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