91探花

Teaching with AI: How college professors are redefining the classroom

While the proliferation of generative artificial intelligence (GenAI) has many industries hoping it will eventually streamline processes and save resources on labor-intensive tasks, the explosion in its adoption by students has created some unique challenges for educators.

Gabe Preston, '06 | September 26, 2024

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Determining if content is human or AI-generated is , especially as the software is becoming more sophisticated. Inside Higher Ed declares reading all but dead, noting that today鈥檚 students versus diving into a textbook.

It鈥檚 not all doom and gloom, though 鈥 from helping to create personalized learning plans to aiding in , AI is transforming the way we teach and learn. But with this transformation comes a host of challenges and opportunities that educators must navigate. At 91探花, professors and GenAI experts aren鈥檛 just weighing in on AI policy, they鈥檙e embracing AI by establishing a path to success for students and other college educators around the country.

Navigating AI鈥檚 challenges and opportunities in college classrooms

The speed at which AI has advanced is unprecedented. New tools and applications emerge almost daily, forcing educators to rethink their teaching practices. And while some are , many educators are still struggling to effectively incorporate GenAI into their curriculum or ensure it鈥檚 not being used to avoid answering complex reasoning questions or writing essays.

But with the rapid improvements developers continue to make, detecting AI within a student鈥檚 answers is increasingly difficult and nearly impossible to prevent. 

AI illustration of a futuristic college classroom

Shifting from AI detection to AI-driven critical thinking

鈥淭he focus must shift from preventing the use of GenAI to designing [curriculum for] its use,鈥 says Vic Matta, an associate professor in the College of Business at 91探花 whose research includes technology adoption and consumer behavior.

Matta shared what he believes are key two changes necessary in education鈥檚 existing conventions.

鈥淥ne is to educate about its use (prompt engineering and reliability of responses). The second is to design our curriculum to emphasize critical thinking and problem-solving skills.鈥

A recent article published in stated more than 70 percent of higher-ed instructors who regularly use GenAI were using it to grade student work.

OHIO hosted an AI symposium in February with industry experts sharing their views on what鈥檚 next, and what to watch out for. 

鈥淵ou are entering maybe the weirdest timeline in human history.... You鈥檙e going into this phase where all of this is new and being reinvented. That's actually an opportunity," said Paul Roetzer, founder and CEO of Marketing AI Institute, in the symposium keynote.

Creating personalized learning with AI: 91探花's approach

Traditional education approaches are now being reassessed as educators to evaluate students' ability to think critically, analyze information, and apply AI tools appropriately. Paul Shovlin, assistant professor of English and Faculty Fellow for the Center for Teaching, Learning and Assessment (CTLA) shared his thoughts regarding the opportunity for more personalized learning using GenAI.

Generative AI can be used to personalize learning in a number of ways.

Paul Shovlin, assistant professor of English, 91探花

鈥淕enerative AI can be used to personalize learning in a number of ways," Shovlin said. "Students can use it to create quizzes related to topics of study. They can ask a Language Learning Model (LLM) like to ask them questions, give them feedback on their answers, and make suggestions for improved responses.鈥

With AI being used to create tailored learning experiences that cater to individual students' needs and learning styles, educators could even see improved engagement and outcomes. But it鈥檚 still relatively early days, with most professors still unsure how to proceed. A in October of 2023 found only 22 percent of faculty members were incorporating AI. 

Balancing AI reliance: Avoiding the pitfalls of overuse

Beyond the use cases, questions linger around data ownership as well as AI鈥檚 using their own training data to generate responses. Chad Mourning, assistant professor and principal investigator on the , which uses machine learning, understands the challenges of using AI as a source for accurate information.

鈥淭he quality of most machine learning models is driven by the quality of their training data. There are several court cases about possible misappropriation of copyrighted material in the popular large language and multi-modal models, such as transcripts of YouTube videos,鈥 Mourning said.

He added that there are also challenges associated with increased reliance on AI.

鈥淚t's human nature to take the path of least resistance, which right now is often AI. We are in this awkward, liminal space where off-the-shelf Large Language Models are better than the average first-year student or sophomore [at generating written content or source code for programming assignments], but worse than what we expect out of our graduating seniors, so you end up with students in their last couple of years that haven't actually learned anything. Maybe it's AI, maybe it's lasting effects of COVID lockdowns, but I'm failing more seniors than I used to.鈥

But beyond the problem of students relying too heavily on AI, Mourning also notes the growing concern regarding 鈥.鈥

鈥淎n over-reliance on AI could also be problematic if we have an 鈥楢I collapse,鈥 where the models start getting worse because too much AI-generated data makes its way into the training data,鈥 Mourning stated.

Preparing students for careers with AI: 91探花鈥檚 path forward

Despite educators and institutions scrambling to establish policy around curriculum-driven GenAI, there is reason for optimism. 91探花 recently announced a new bachelor鈥檚 degree in Artificial Intelligence. OHIO鈥檚 CTLA has allowed educators to proactively create protocols for teaching alongside GenAI tools, giving Bobcats new opportunities to not only leverage GenAI in their studies, but prepare for a career centered around AI and its growing business use cases. OHIO faculty have access to training through the Fall 2024 AI-enhanced Course Redesign Institute.

The redesign institute is facilitated by CTLA AI faculty fellows Shovlin, assistant professor of English, and Jared DeForest, professor and chair of the department of Environmental and Plant Biology, supported by staff from the CTLA, the Office of Instructional Design and the Office of Information Technology. A stipend following completion will be provided. Both Shovlin and DeForest have extensively redesigned courses in response to GenAI developments.

鈥淲e need to provide better rationales to our students for the value of our courses鈥 learning objectives with explanations of how using GenAI could support or detract from achieving those objectives,鈥 Shovlin said.

91探花 alumni discuss the future of generative artificial intelligence in a symposium in February 2024

Paul Roetzer '00, founder and CEO of Marketing AI Institute, and Natalie Zmuda '02, Amazon's Director of Conversational Shopping and Editor-in-Chief of Shopping AI, speak on stage at the 91探花 AI Symposium in February 2024.

The path to a sustainable educational environment alongside AI starts with literacy, implementing new assessment methods, promoting equity and access, and fostering professional development.

By addressing these challenges and seizing the opportunities presented by AI, educators can ensure higher education remains relevant and effective in the digital age. If the future of education is being shaped by AI, it will be up to educators to embrace this new reality and adapt their teaching practices accordingly.

When asked how to ensure AI is used to enhance human potential rather than replace it, Shovlin shared his final thoughts.

鈥淭he best strategy is for more concerned practitioners to educate themselves on best practices and ethical considerations related to GenAI in higher educational settings,鈥 he said. 鈥淲e need more people to be present and knowledgeable in discussions regarding GenAI's proliferation in higher education. It's a responsibility that all stakeholders should share.鈥