Episode 60: Julia Lang on How Gen AI is Transforming Coursework and Careers

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Episode 60: Julia Lang on How Gen AI is Transforming Coursework and Careers
The Connected College

How is generative AI transforming admissions, curriculum-development, and feedback and evaluation in higher education? How is it enhancing accessibility and inclusivity? What are the emerging AI skills and fluencies for students and faculty to learn? We delve into these questions and inspiring examples with Julia Lang, Professor of Practice at Tulane University

The landscape of higher education is shifting at a pace few could have predicted. While the initial reaction to tools like ChatGPT and Gemini was often rooted in fear or denial, forward-thinking educators are beginning to realize that we are at a "plant a tree" moment. The best time to integrate these tools was yesterday; the second-best time is right now. Julia Lang, a professor of practice at Tulane University, suggests that our duty as educators isn’t to ban these tools, but to teach students how to ethically and responsibly harness them to supercharge their skills rather than "turning their brains off."

Reimagining the Gateway: AI in Admissions and Enrollment

One of the most immediate and controversial impacts of generative AI is found at the very start of the student journey: the admissions process. Large institutions like Cornell University are already exploring how AI can supplement human evaluation for application reviews and transfer credit evaluations. Because AI can process massive volumes of data and identify patterns that a human eye might miss during a thirty-second resume scan, it offers a level of scalability that traditional methods lack.

However, this efficiency comes with a caveat. AI inherits the biases embedded in the data it’s trained on. The goal isn't to replace human judgment but to use AI as a "research assistant" that can comb through every sentence of an essay to find specific talents—like a creative thinker or a niche musician—that might otherwise be overlooked in a sea of thousands of applicants.

The AI-Powered Classroom: From Syllabus to Synthesis

In the classroom, generative AI is acting as a catalyst for more dynamic, interdisciplinary curricula. Faculty members are now using these tools to brainstorm 14-week syllabi in seconds, allowing them to integrate the latest global movements and research in real-time. This isn't about letting the machine do the teaching; it’s about using AI as a "referee" or a "brainstorming partner" to blend subjects from different disciplines that might otherwise remain siloed.

For students, the classroom experience is shifting toward "debate the bot" exercises. By asking an AI to argue the opposing side of a healthcare policy or a historical event, students are forced to think more critically and verify information through rigorous fact-checking. In an era of "fake news," the ability to analyze AI output with a critical lens is becoming a foundational literacy skill.

Personalized Support and the Next Frontier of Accessibility

Perhaps the most heartening application of generative AI in higher education is its potential to democratize support. Historically, one-on-one tutoring was a luxury for the privileged. Today, AI can serve as a 24/7 tutor, a language conversation partner, or a coach for interview preparation.

For students with disabilities, AI is the next iteration of assistive technology. It can describe visual environments for the blind, simplify complex texts for those with dyslexia, and reduce the mental fatigue of social communication for neurodivergent students. By acting as a "thousand eager graduate assistants," AI ensures that support is personalized, immediate, and inclusive.

Conclusion: Dancing Atop the Boulder

As Julia Lang poignantly notes, technology is like a boulder rolling down a hill. We can either run from it until we are overtaken, or we can learn to "dance atop it" with nimble feet. To ensure student success in a future dominated by AI, we must move past trepidation and embrace a model of lifelong learning. By embedding AI knowledge into our curricula now, we prepare students not just to survive the future of work, but to lead it.

Episode 60 Transcript

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Episode 61: Nancy Felix on High Touch and High Tech Advancement

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Episode 59: Bob Lasher on Advancement that Raises Awareness and Inspires Action