Beyond Policing: AI Writing Detection Tools, Trust, Academic Integrity, and Their Implications for College Writing DOI
Louie Giray, Kershnee Sevnarayan, Fatemeh Ranjbaran

et al.

Internet Reference Services Quarterly, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 34

Published: Jan. 1, 2025

Current AI detectors demonstrate significant technical limitations, including high false-positive and false-negative rates, show bias against non-native English speakers. We argue that detection-focused approaches in writing foster an atmosphere of distrust anxiety, while collaborative integration enhances learning outcomes student engagement. Successful requires clear institutional guidelines on detection, training for educators students, a focus process over product assessment. By shifting from policing mindset to trust-based educational framework, this method aims promote academic integrity, engagement, responsible use college writing.

Language: Английский

Beyond Policing: AI Writing Detection Tools, Trust, Academic Integrity, and Their Implications for College Writing DOI
Louie Giray, Kershnee Sevnarayan, Fatemeh Ranjbaran

et al.

Internet Reference Services Quarterly, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 34

Published: Jan. 1, 2025

Current AI detectors demonstrate significant technical limitations, including high false-positive and false-negative rates, show bias against non-native English speakers. We argue that detection-focused approaches in writing foster an atmosphere of distrust anxiety, while collaborative integration enhances learning outcomes student engagement. Successful requires clear institutional guidelines on detection, training for educators students, a focus process over product assessment. By shifting from policing mindset to trust-based educational framework, this method aims promote academic integrity, engagement, responsible use college writing.

Language: Английский

Citations

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