4.7. Key Concepts & References

Key Concepts

• AI-Ready Assessment: Assignment design that anticipates AI use, values process, and rewards originality, context, and reflection.
• Authentic Assessment: Tasks that mirror real-world practice, personal context, or disciplinary relevance; harder to outsource to AI.
• Traditional Assessment: Assignments focused on recall or generic products (e.g., summaries, problem sets), often easily handled by AI.
• Efficiency vs. Meaning: Balancing productivity gains of AI with deep, transformative learning.
• Multimodal Assignments: Tasks that combine text with media such as video, infographics, or podcasts.
• Transparency: Making expectations clear to reduce ambiguity and strengthen trust.
• AI-Explicit Rubrics: Rubric criteria that specify whether, how, and why AI may or may not be used.
• Process Evidence: Drafts, annotations, version histories, or reflections that document learning over time.
• AI Literacy: The ability to understand what AI can and cannot do, critically evaluate its outputs, and use it ethically in academic and professional contexts.
• AI Cultural Shift: Moving from “policing” to “partnering” with students around AI use.
• From Prohibition to Transparency: Reframing integrity policies as guidelines for ethical AI use rather than bans.
• Integrity as Presence: Not just the absence of misconduct, but the presence of literacy, judgment, and creativity.

References

AI for Education (2023, November 9). Authentic Assessment with AI [Video]. YouTube. https://youtu.be/ai726ctNzBs?si=lCTuF2HFwIwIB45M 

Arzaghi, M. (2025). Advancing Fairness in Generative AI Through Intrinsic and Extrinsic Bias Evaluation and Mitigation. Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 8(3), 2841-2843. https://doi.org/10.1609/aies.v8i3.36764

Ateeq, A., Alzoraiki, M., Milhem, M., & Ateeq, R. A. (2024). Artificial intelligence in education: Implications for academic integrity and the shift toward holistic assessment. Frontiers in Education, 9, 1470979. https://doi.org/10.3389/feduc.2024.1470979

Atkinson, R. C., & Shiffrin, R. M. (1971). Human memory: A proposed system and its control processes. Advances in Research and Theory, 2, 89-195.

Balalle, H., & Pannilage, S. (2025). Reassessing academic integrity in the age of AI: A systematic literature review on AI and academic integrity. Social Sciences & Humanities Open, 11, 101299. https://doi.org/10.1016/j.ssaho.2025.101299

ColumbiaLearn (2024, September 16). Generating Rubrics | AI for Teaching [Video]. YouTube. https://www.youtube.com/watch?v=to47afpKP78

Cotton, D. R. E., Cotton, P. A.  & Shipway, J. R. (2024). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 61:2, 228-239, https://doi.org/10.1080/14703297.2023.2190148

Fan, C., Chen, J., Jin, Y., & He, H. (2024). Can Large Language Models Serve as Rational Players in Game Theory? A Systematic Analysis. Proceedings of the AAAI Conference on Artificial Intelligence, 38(16), 17960-17967. https://doi.org/10.1609/aaai.v38i16.29751

George Fox Digital (2023, September 26). How Professors Can Check for AI Cheating in a Sensible Way [Video]. YouTube. https://youtu.be/8KNOL21t4jM?si=R1cgGSAleR0EWTzm.

Gonsalves, C. (2025, February 28). Contextual assessment design in the age of generative AI. Journal of Learning Development in Higher Education, Issue 34. https://doi.org/10.47408/jldhe.vi34.1307

Hargis, J. (2024, October 18). Using AI assistants for PBL. Jace SoTL Substack. https://jacehargis.substack.com/p/using-ai-assistants-for-pbl

Hill, C., & Hargis, J. (2024). An ethics module on academic integrity and generative AI. New Directions for Teaching and Learning, 1–10. 

McAdoo, T (2025). How to Cite ChatGPT. APA Style Blog. apastyle.apa.org/blog/how-to-cite-chatgpt.

Reedley College (2025, February 25). Creating Rubrics with AI [Video]. YouTube. https://youtu.be/TfHbUGsuHhk?si=4mFH5iwZiZ0atXXf

Sovorel (2024, August 9). AI and Your Students’ Learning Experience [Video]. YouTube. https://www.youtube.com/watch?v=Bzxz4sqre5E

Teachers College, Columbia University (2024, November 27). DFI Masterclass: Assessment in the Age of AI [Video]. YouTube. https://www.youtube.com/watch?v=wKWy84ZFEqs 

TEDx Talks (2024, June 10). The importance of AI literacy for all, Mike Kentz, TedxSavannah [Video]. YouTube. https://youtu.be/DRyWDNjRWaw?si=V1STzvLoZGLT_4SZ

UQ Institute for Teaching and Learning Innovation (2023, May 30). Assessment redesign for Generative AI [Video]. YouTube. https://www.youtube.com/watch?v=l-XhLRWEkbY