How artificial intelligence is reshaping college for students and professors

Key Concepts

• Generative AI: Artificial intelligence capable of creating new content, such as text and images.
• Academic Integrity: The ethical principles and practices that ensure honesty and fairness in academic work.
• AI Detection Software: Tools used to identify content potentially generated by AI.
• AI Fluency Initiative: Programs designed to educate students and faculty on the use and implications of AI.
• Human-Centered AI Use: Employing AI as a tool to augment human capabilities rather than replace them entirely.

Generative AI's Impact on Higher Education

The senior class of universities across the country is the first to have experienced nearly their entire college careers in the era of generative AI. This technology, capable of producing original content like text and images, is rapidly improving, making it increasingly difficult to distinguish AI-generated work from human output. This has profound implications for academia, raising significant questions about learning, assessment, and academic integrity.

Disruption in the Classroom

Philosophy professor Megan Fritts at the University of Arkansas at Little Rock observed a shift in student writing approximately two years ago. She noticed assignments that sounded "highly polished, but very impersonal," resembling official business documents or technical writing rather than typical student work. This impersonality suggested the use of AI. A survey indicated that 86% of college students are now utilizing AI tools such as ChatGPT, Claude AI, and Google Gemini for their academic tasks. The rapid adoption is attributed to generative AI's ability to transform time-consuming writing and revision processes into tasks completed in minutes. For instance, a 1000-word essay on "Is it ok to lie?" can be generated instantly by ChatGPT using vast datasets.

Fritts highlights the disruptive nature of this technology, stating, "If I'm reading the writings of ChatGPT instead of my students, I have lost the very best tool that I have to see if I am being effective in my capacity as an instructor or not." This sentiment underscores the challenge AI poses to traditional methods of evaluating student understanding and instructor effectiveness.

Policy Scrambles and Detection Challenges

University policymakers are struggling to keep pace with AI's advancement. Brian Berry, Vice Provost of Research at the University of Arkansas at Little Rock, notes, "The realization over the past year and a half is the technology is outpacing our ability to detect it." His committee is focused on developing campus-wide AI policies, emphasizing the importance of educating students on the risks and benefits. Berry states, "I think it really comes down to us helping students understand what's at risk. Helping them understand that if they use AI in the right way, it's literally the most powerful tool that they've ever been able to use and it will make huge differences. But if they use it in the wrong way, it could short circuit their learning process."

The university is finalizing a policy allowing professors to define acceptable AI use in their syllabi. However, for professors like Fritts, who maintains a strict no-AI policy, detection is a complex and time-consuming endeavor. She employs "eight different detection softwares," including Phrasely, to identify suspected AI use. If AI use is confirmed, she meets with the student. "If they can talk about the thing that they wrote about, then great. But a lot of times they can't," she explains, indicating that students often lack genuine understanding of the AI-generated content. Fritts acknowledges that this process "cuts into my life quite a bit" and can make teaching feel like "policing."

Student Experiences and the Risk of Misidentification

AI detection methods are not infallible, leading to student anxiety. Ashley Dunn, a senior at Louisiana State University, faced accusations of AI use for a British literature essay after a detection tool flagged her work. She expressed her fear of failing the class or receiving a zero, recognizing the seriousness of plagiarism in higher education. While Dunn eventually received an 'A' after communicating with her professor, her TikTok video revealed a widespread issue. Many students shared similar experiences, with some facing harsher consequences like zeros or failing grades. Dunn also noted instances where professors mistakenly flagged standard writing conventions, such as the use of an em dash, as AI-generated.

Embracing AI: Ohio State University's Approach

In contrast to strict prohibition, some institutions are actively exploring ways to integrate AI. Lori Kendall, an entrepreneurship professor at Ohio State University's Fisher College of Business, acknowledges the initial apprehension among instructors but recognizes the inevitability of AI use. She now encourages students to leverage AI as a tool for critical examination of their work and as a learning aid, stating, "A lot of people might use AI just to get assignments done or plagiarism, but I like to use AI for deeper understanding."

First-year student Rachel Gervais finds AI useful for generating questions about her air transportation major, enhancing her understanding and identifying areas for further study. She believes that "If you don't use AI or the next technology that comes along to be effective, you're not going to be competitive in the job market."

Ravi Bellamkonda, Executive Vice President and Provost at Ohio State University, spearheaded the institution's AI Fluency Initiative. This program mandates that all undergraduate students across disciplines learn and utilize AI tools. Bellamkonda emphasizes the goal of understanding "what can we offload to technology, and what do we need to add value to?" Ohio State aims to be a leader in establishing guidelines for AI interaction.

Innovative Applications Across Disciplines

The AI Fluency Initiative has spurred experimentation. Music professor Tina Tallon's "AI and Music" class explores innovative applications. She begins by asking students to identify challenges in their fields, then explores how AI can address them. For example, tuba instructor and doctoral student Will Roesch is using AI to analyze airflow into his instrument over thousands of repetitions to guide students in achieving optimal sound. Music education graduate student Natalia Moreno Buitrago is employing AI to expedite the analysis of home recordings for her research on infant musical acquisition, a task that previously took hours of manual listening. She believes that "If we critically examine the tools that we're engaging with and are actively involved in the development of them, I think we can do some pretty incredible things."

Navigating Disruption and Societal Impact

The integration of AI presents significant disruptions to both academia and the future job market. The overarching question remains: "How do we go through a transformative moment like this with the disruptions that it is going to cause and yet do this in a way that ultimately is additive to us as a society? That it improves our lot as human beings?" This question, without a clear answer, requires active student participation in finding solutions.