Files
Description
The rapid expansion of generative AI (Gen-AI) has reshaped teaching and assessment in online, asynchronous introductory biology courses, creating new challenges for academic integrity and meaningful learning. This poster examines practical strategies to promote ethical AI use while maintaining student engagement. Transparency of instructions and timely, personalized feedback were found to curb AI misuse in online discussion posts. Structured use of AI tutors encouraged responsible engagement with Gen-AI, and surveillance methods for summative exams had mixed effects.
Publisher Location
Las Vegas (Nev.)
Publication Date
4-30-2026
Publisher
University of Nevada, Las Vegas
Language
English
Keywords
Generative AI; AI misuse; online; asynchronous; biology; academic misconduct; transparency; feedback; exam surveillance; AI tutors; Lockdown Browser; Respondus Monitor; AI Detector; TILT; CircleIn
Disciplines
Higher Education and Teaching | Hospitality Administration and Management | Interdisciplinary Arts and Media
File Format
File Size
1200 KB
Recommended Citation
Paladino, Elana A., "Transparency and Personalized Feedback Curb AI Misuse in Asynchronous Online Biology" (2026). UNLV Best Teaching Practices Expo. 232.
https://oasis.library.unlv.edu/btp_expo/232
Rights
IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/
Included in
Higher Education and Teaching Commons, Hospitality Administration and Management Commons, Interdisciplinary Arts and Media Commons