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How “AI-Forward” Is Your Top College Choice? AI at Denison, Swarthmore, and Penn

  • Writer: Jim Giebutowski
    Jim Giebutowski
  • 7 days ago
  • 3 min read

Updated: 6 days ago


When families evaluate colleges, they tend to focus on rankings, majors, and outcomes. But there’s a new—and rapidly rising—dimension that deserves equal attention: how effectively a college is preparing students to learn, think, and work in an AI-driven world.

 

This is not just about whether a school offers an AI major. It’s about whether students are being taught to use AI effectively, question it critically, and differentiate themselves from it. Colleges are taking very different approaches—from embedding AI into every class, to redesigning assignments so AI can’t easily replicate student work, to building entirely new interdisciplinary majors.

 

Understanding these differences gives students a meaningful edge—not just in admissions positioning, but in how well they are prepared for college and the careers that follow.

 

Here are some examples of how three colleges,  Denison University,  Swarthmore College, and University of Pennsylvania, are tackling the AI challenge on behalf of students.

 

Denison University — AI Across the Liberal Arts

 


Denison is emerging as one of the most intentional liberal arts colleges integrating AI across its entire curriculum rather than isolating it within computer science. Faculty are actively embedding AI into coursework in disciplines ranging from modern languages to political science. In Spanish courses, students use AI tools to simulate conversations and refine writing, while in political science, students generate AI-written essays and then critique them for bias, accuracy, and argument strength. Denison has also introduced interdisciplinary coursework such as AI: Basics & Big Questions”, combining technical literacy with ethical analysis.

 

This approach is supported institutionally through initiatives like Denison Edge and coordinated by instructional technology leadership, including Lori Robbins. The result is students who develop applied AI fluency across contexts - learning not just how to use AI, but when it enhances thinking versus when it undermines it. That distinction is increasingly critical in fields like business, consulting, and communications.

 

Swarthmore College — AI Literacy Through the Library + Sandbox Model

 


Swarthmore is taking a distinctive, governance-driven approach led not by computer science, but by its library system. The effort is anchored by Amanda Licastro, Head of Digital Scholarship Strategies (and a “digital librarian”), who is helping shape how AI is used—and not used—across the academic experience. The college has deployed a secure AI “sandbox” environment that includes tools like LibreChat, OpenAI, Claude, and Gemini, allowing students to experiment safely without exposing academic data.

 

More importantly, Swarthmore emphasizes critical evaluation over simple usage. Students regularly generate AI outputs and then verify sources, assess bias, and evaluate credibility. In some cases, the college has even disabled AI features in research databases when they were found to degrade learning. This approach develops AI judgment—the ability to discern when AI is helpful, misleading, or inappropriate—which closely mirrors how AI must be used in professional environments.

 

University of Pennsylvania — Building “AI-Native” Graduates



The University of Pennsylvania has launched one of the first Ivy League undergraduate AI degrees: the Raj and Neera Singh B.S.E. in Artificial Intelligence. While not purely student-created, the program reflects strong student demand and was rapidly developed by faculty leaders including George J. Pappas and Chris Callison-Burch.

 

The curriculum is intentionally interdisciplinary, combining machine learning, robotics, natural language processing, and data science with ethics and human-AI interaction. Students complete substantial project-based work and a senior design experience that applies AI to real-world problems.

 

Penn’s approach is designed to produce what might be called “AI-native professionals” - graduates who can both build AI systems and understand their implications across industries. Students leave with not just technical skills, but the ability to apply AI in healthcare, finance, engineering, and beyond. This combination of depth and application makes Penn one of the clearest pipelines into AI-driven careers.

 

Final Takeaway: Why “AI-Forward” Should Be a Core College Selection Lens

 

Across these schools, a clear pattern is emerging: colleges are not converging on a single approach to AI—they are diverging into distinct models. Some emphasize integration across disciplines (Denison), others critical evaluation (Swarthmore), and others technical mastery (Penn).

 

For students and families, this creates both an opportunity and a responsibility. Choosing a college is no longer just about academics or prestige—it is about how well that institution prepares students to operate in a world where AI is embedded in nearly every field. The most important question to ask is not simply:


 “Does this school teach AI?”

 

But rather:


“Does this school teach students how to think, create, and differentiate themselves in a world where AI is everywhere?”

 

That distinction may ultimately matter more and more over time in determining a student’s long-term success.



LifeLaunch College and Life Consulting helps families navigate college admissions through deep student self-exploration, rigorous college and program research, and highly personalized guidance. We combine data-driven analysis with real-world insight into emerging fields like AI and technology to help students find colleges that truly fit their goals, strengths, and future aspirations.

 

Schedule a free 60-minute consultation at LifeLaunch College Consultation

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