On April 17, 2026, Missouri State University hosted the 33rd Annual Frank Einhellig Graduate Interdisciplinary Forum, bringing together graduate students from across disciplines to share their research with the university community. Among the presenters was Mo Mosabbir, a graduate student tackling one of higher education’s most pressing conversations: what does the rise of generative AI mean for academic integrity?

The Research

Mo’s study, “Understanding Generative AI on Academic Integrity,” explores how generative AI tools are reshaping academic integrity across three key dimensions: pedagogical, governance, and operational. As tools like ChatGPT become increasingly accessible to students and faculty alike, universities are being forced to rethink long-held assumptions about authorship, originality, and the nature of learning its

The Challenges That Motivated the Study

The concerns driving this research are both urgent and wide-ranging. Plagiarism and authorship ambiguity top the list, but the study goes deeper, examining how generative AI may reduce students’ development of critical thinking, raise data privacy concerns, and expose significant governance gaps across institutions. Perhaps most importantly, Mo’s research highlights an equity dimension that is often overlooked: not all universities are equally prepared to respond, and under-resourced institutions face a particularly steep challenge in keeping pace.

What the Research Recommends

The study calls on institutions to take concrete action. Universities need to establish clear and transparent usage policies, invest in the infrastructure and faculty training necessary to implement them, and build ethical frameworks that directly address issues of bias, transparency, and accountability. These are not optional additions — they are foundational to responsible AI integration.

Looking Ahead

Given the opportunity, Mo hopes to extend this work in several directions: studying the long-term effects of generative AI on student learning outcomes, examining the digital divide as it relates to AI access and readiness, and contributing to the development of generative AI literacy programs that equip students to engage with these tools critically and ethically.

Why It Matters

At its core, this research is about more than technology. It is about ensuring that as universities adapt to a rapidly changing landscape, they do so in ways that preserve academic standards, maintain trust, and promote equity across diverse educational settings. Mo’s work offers a timely framework for institutions navigating these decisions right now.

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