Pedagogy Under Pressure: How AI Is Forcing Business Schools To Rethink How They Teach

At the University of Virginia Darden School of Business, long recognized as one of the world’s leading champions of the student-centered Socratic case method, a different kind of conversation will take place in just a few weeks.

In partnership with Poets&Quants and American University’s Kogod School of Business, Darden will host a conference that will bring together deans and other business school leaders to address a question that goes far beyond any single teaching approach:

How should business schools evolve in a world where AI can seemingly generate knowledge instantly?

The focus on the Socratic case method is deliberate because it is one of the clearest lenses through which to understand a much broader pedagogical phenomenon. Can the method that has endured for 2,400 years help us examine critically the pedagogy of business education as it evolves in the age of AI?

THE CASE METHOD AS A BELLWETHER

For decades, the case method has been one of the most powerful pedagogical tools in business education. At Darden, it is not just a method, but a philosophy of learning, built on dialogue that encourages learners to master critical thinking, navigate ambiguity and foster collaboration and collective sense making.

The pressure seen from AI is not on the method itself. It is on pedagogy in higher education as a whole and across all business education. If a method as robust and enduring as the case method is now evolving, it signals something deeper. A bit of history? The Socratic method has been around for approximately 2,400 years. It originated in 5th-century BCE Athens with the philosopher Socrates (c. 470–399 BCE). Rather than lecturing his students, Socrates engaged them in a disciplined dialogue of questioning to peel back layers of assumptions and reach a deeper, more refined truth.

The Case Method is a specialized form of the Socratic method designed for professional leadership training. Rather than listening to a lecture on business theory, students are put in the shoes of a real-world protagonist facing a high-stakes dilemma.

WHEN KNOWLEDGE BECOMES INSTANT

The foundation of most teaching models, including learning through case studies, has been the effort required to access, structure, and interpret information. Cases immerse students in actual, often messy, business challenges spanning various industries, functions, and global geographies and put them in the role of the decision maker.

That foundation is shifting.

Today, it might be tempting to think that students can take a case, or any business problem, input it into a generative AI system and receive, within seconds, what one might view as structured analyses, strategic options, and recommended decisions.

What used to take hours now takes minutes and requires almost no effort. But what is the real value learners gain from this? The actual process of learning, the ability to lead conversations, be decisive when faced with ambiguity and conflicting opinions, and develop the leadership muscle were likely skipped along the way.

AI must not be allowed to eliminate learning. But it certainly is challenging and changing what learning means, from K-12 through life-long education, it is also expanding the boundaries of what may be possible.

BEYOND THE CASE STUDY METHOD: A PEDAGOGICAL RESET

The growing scrutiny of the case method is a proxy for a larger question:

If AI is powerful at accelerating parts of the analytical process, how do business schools ensure that the learning behind those outputs remains deep, rigorous, and intellectually sound? What is the role of business, and other formal education, at large in ensuring this deep learning takes place?

The answer cannot be to boycott AI. In our perspective, it must be to redesign pedagogy around it.

This means shifting the learning objectives, in many ways to what the Darden Socratic method has always been about the shift from:

• Producing answers to developing judgment,
• Applying frameworks to questioning them,
• Structured analysis to navigating ambiguity.

These are powerful statements that reinforce the ultimate goal of learning — to develop critical thinking and responsible business leaders amongst students.

THE LIMITS OF TRADITIONAL FORMATS 

The student-centered case method approach illustrates this shift clearly.

When students arrive in the classroom with a polished AI-assisted analysis, the nature of discussion changes. The risk is not that students disengage; it is that the learning becomes more predictable and less exploratory.

The classroom conversation could lose some of its friction and the academic rigor needed to drive engagement. And friction is where learning happens.

This is not a failure of the case method. It is a context that highlights its central strength: developing judgment and the ability to define the problem, especially as AI makes it easier to generate solutions.

FROM CASE ANALYSIS TO CASE CONSTRUCTION

What emerges is not the disappearance of the case method, but its evolution. The potential stems from the built-in advantages inherent in a Socratic teaching environment.

Instead of analyzing static situations, students can be asked to construct them and encouraged to become the authors, rather than passive consumers of the cases.

Through more immersive and interactive approaches, students engage directly with decision makers, explore incomplete information, and build their own understanding of the problem before proposing solutions. They are no longer just solving a case. They are collecting input, asking the questions, and defining the case. Instead of reading a few points of view, the learners can meet the store owner, the business developer, the manufacturing leader, and ask them firsthand about the business situation they are facing. They will all be less likely to forget them,

REINTRODUCING COMPLEXITY IN AN AI WORLD

AI excels at delivering structured answers.

But leadership is about making decisions when answers are incomplete, contradictory, or unclear. Leaders must learn to ask better questions, interpret signals and make informed judgements under uncertainty. These skills aren’t diminished by AI. In fact, they can be amplified by careful AI-designed experiences and use.

A NEW ROLE FOR FACULTY AND THE NEW CLASSROOM MODEL

AI-informed pedagogy provides an opportunity to reshape the role of faculty — from facilitators of discussion to designers of learning environments where AI is integrated but not dominant.

A new type of reversed pedagogy begins to take shape.

Students use AI to accelerate analysis. But learning happens in how they challenge, judge, interpret, and apply AI.

In practice, this can take the form of a virtual case experience. Faculty introduce students to the context of a company, an industry, and the challenges, and strategic tensions that define it. But instead of receiving a complete case, students enter an interactive environment where they need to engage with AI-powered agents representing key stakeholders — the C-suite, a CEO under pressure, a CFO balancing constraints, a Chief Sustainability Officer navigating trade-offs.

Students ask questions, test assumptions, and uncover information dynamically. Each interaction shapes their understanding of the situation. There is no complete dataset handed to them, only what they can extract. Much like what happens in real life — no one hands you a complete report of a static reality — you are challenged to develop a holistic understanding of the reality and the forces at play.

Students become the authors of their own case, constructing the narrative, defining the problem, applying their foundational skills and articulating the strategic options before presenting their analysis and recommendations.

Assessment evolves accordingly, placing greater emphasis on the quality of inquiry, depth of understanding, and the ability to navigate complexity, rather than the reproduction of an anticipated correct answer.

A STRATEGIC MOMENT FOR BUSINESS SCHOOLS

The scrutiny and evolution of the case method, especially at institutions that have defined its excellence, is not a weakness.

It is a signal of leadership.

It reflects a willingness to question even the most established models in order to remain relevant.

Because what is at stake is not a method.

It is the future of pedagogy.

WHY THIS CONVERSATION MATTERS NOW

The conference at Darden, bringing together deans and business school leaders with Poets&Quants as media partner, is an opportunity to move this conversation forward, and share best practices amongst business school leaders.

Not to defend the past.
But to design what comes next.

Because AI is no longer a distant disruption.

It is already reshaping how we learn.

And the schools that engage with this shift today will not just adapt.

They will define what business education becomes next.

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Yael Grushka-Cockayne is Vice Dean and Senior Associate Dean for the full-time MBA program at the University of Virginia Darden School of Business. Benjamin Stevenin is former Director of Business School Solutions and Partnerships at Times Higher Education.

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