AI Forces Universities Back to Blue Books

When I read the news coming out of Syracuse University, I must admit, an ironic smile crossed my face. Not because it was unexpected—in truth, I’ve been sensing the hum of this trend for a while—but because it so clearly highlights one of the great challenges of our time: how the most disruptive innovation, Artificial Intelligence, is paradoxically pushing crucial sectors like education to reconsider and, in some cases, re-embrace methodologies we thought relegated to the past. Assessing the production trade-offs, between automation and cognition, for us at Cortex News, always attentive to the intersections between technology and society, this is not just an anecdote, but a symptom.

The “Generative AI Dilemma” in Education

The core of the issue is, of course, the advent and rapid spread of generative AI tools like ChatGPT and similar models. For a professor, a take-home essay or a research project based on easily accessible online sources becomes a minefield. How do you distinguish a student’s authentic thought from output generated in mere seconds by an algorithm? Academic integrity is threatened, and with it, the very essence of the learning and evaluation process. In my view, I have always believed that the value lies not only in the final result, but in the journey that leads to it, and AI risks eroding that journey.

The Return to the Past: Blue Books and Lectures

Faced with this challenge, Syracuse faculty members, as reported by the source, have begun making radical choices. More interactive lectures, proctored exams—where human presence and surveillance are paramount—handwritten essays using classic “blue books” (those blue exam booklets used for handwritten responses), and a heavier reliance on oral exams. This isn’t a rejection of technology, but a tactical adaptation. It’s a way to ensure students are genuinely developing their critical thinking, analysis, and synthesis skills, rather than relying on a digital copilot. And, in my opinion, it is a sign of resilience and a commitment to quality teaching.

Beyond Syracuse: A Global Trend?

My sense is that the Syracuse case is not isolated, but represents the tip of the iceberg of a broader trend. Several universities worldwide are already debating and implementing similar strategies. The real lesson here is not to ban AI, but rather to rethink how we integrate technology into the educational process. If AI can handle routine tasks, human value shifts toward creativity, lateral thinking, the ability to ask the right questions, and synthesizing complex information with originality. We must learn to evaluate what AI cannot yet do.

In my opinion, this is not a step backward into a pre-digital era, but an essential recalibration. It is a moment of deep reflection for the academic world, forcing us to define what it truly means to “know” and to “learn” in an era where access to information and its automated reprocessing have become trivialized. AI is not the enemy, but a powerful catalyst pushing us to rediscover the intrinsic value of critical thinking, authentic writing, and human interaction. And what about you, Cortex News readers, what are your thoughts? Is AI really pushing us toward a more authentic, human-centric pedagogy, or are we just chasing our technological tails, destined to find new ways for AI to bypass even these new barriers? I am curious to read your perspectives.