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References

Corbin, T., Dawson, P., & Liu, D. (2025). Talk is cheap: Why structural assessment changes are needed for a time of GenAI. Assessment & Evaluation in Higher Education, 1–11. https://doi.org/10.1080/02602938.2025.2503964

Gegg-Harrison, W., & Quarterman, C. (2024). AI detection’s high false positive rates and the psychological and material impacts on students. In S. Mahmud (Ed.), Academic integrity in the age of artificial intelligence (pp. 199–219). IGI Global https://doi.org/10.4018/979-8-3693-0240-8.ch011

Jenner, B. M. (2025). Rethinking learning in the age of artificial intelligence. The National Teaching & Learning Forum,34(1), 1–4.https://doi.org/10.1002/ntlf.30443

Jankowski, N. (2023, October 8). Friday SLO Talk: AI and assessment of student learning with Natasha Jankowski [Webinar]. COACHes Institute. https://coaches.institute/2023/10/08/friday-slo-talk-ai-and-assessment-of-student-learning-with-natasha-jankowski/

Lindstrom, G., Taylor, L., & Weleschuk, A. (2017). Guiding principles for assessment of student learning (Taylor Institute for Teaching and Learning Guide Series). Taylor Institute for Teaching and Learning at the University of Calgary. http://www.ucalgary.ca/taylorinstitute/guides

Rafiq, S., Qurat-ul-Ain, & Afzal, A. (2025). The role of AI detection tools in upholding academic integrity: An evaluation of their effectiveness. Contemporary Journal of Social Science Review, 3(1), 901–915. https://contemporaryjournal.com/index.php/14/article/view/379/323

Rust, C. (2002). The impact of assessment on student learning: How can the research literature practically help to inform the development of departmental assessment strategies and learner-centred assessment practices? Active Learning in Higher Education, 3(2), 145–158. https://doi.org/10.1177/1469787402003002004

Suskie, L. (2018). Assessing student learning: A common sense guide (3rd ed.). Jossey-Bass.

Weber-Wulff, D., Anohina-Naumeca, A., Bjelobaba, S., et al. (2023). Testing of detection tools for AI-generated text. International Journal for Educational Integrity, 19, 26. https://doi.org/10.1007/s40979-023-00146-z

 Disclosure notice: This resource was developed and written by a human without Generative AI assistance and was revised based on peer feedback. Microsoft Copilot was used in the formatting of the references, and its accuracy was checked.

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