The education system is in crisis, and I’m not just talking about budget cuts or overcrowded classrooms. What’s truly alarming is the perfect storm brewing at the intersection of AI, standardized testing, and post-pandemic academic norms. Let’s start with the elephant in the room: the Brown University scandal. A professor switches to take-home exams, grades skyrocket, and then—surprise—students tank the in-class final. What makes this particularly fascinating is how it exposes the fragility of academic integrity in an era where AI tools like ChatGPT are just a click away. Personally, I think this isn’t just about cheating; it’s a symptom of a deeper issue—the erosion of rigor in education.
Here’s the thing: when colleges abandoned standardized testing during the pandemic, they did so with good intentions. Equity is important, but what many people don’t realize is that removing these benchmarks has left us with a system where student abilities are anyone’s guess. High school grades are now so inflated and inconsistent that colleges are essentially flying blind. If you take a step back and think about it, this isn’t just a problem for admissions offices—it’s a crisis for the entire higher education ecosystem.
From my perspective, the pandemic didn’t just disrupt learning; it reshaped expectations. Deadlines became suggestions, exams became open-book, and grades were inflated to accommodate stress. I get it—students were under immense pressure. But here’s the kicker: these temporary measures have become the new normal. And now, with AI in the mix, the line between learning and shortcutting has blurred beyond recognition.
One thing that immediately stands out is how AI is being framed as the savior of education. Tech companies promise efficiency, personalized feedback, and time-saving tools. But what this really suggests is a fundamental misunderstanding of what education is. Learning isn’t about outcomes; it’s about the process—the struggle, the discovery, the failure. When students rely on AI to write essays or solve equations, they’re missing out on the very essence of education.
I’ve taught AP English for over two decades, and here’s what I’ve learned: students thrive when they engage deeply with material. We annotate texts, dissect arguments, and debate ideas. It’s messy, it’s slow, and it’s utterly human. My students consistently outperform national averages not because they’re using AI, but because they’re learning to think critically. A detail that I find especially interesting is how AI-generated work often lacks the idiosyncrasies that make human writing unique—those eccentric observations that no algorithm can replicate.
The debate over standardized testing isn’t just about fairness; it’s about accountability. Without these tests, colleges are admitting students based on grades that may have little to do with actual learning. This raises a deeper question: are we setting students up for failure by lowering the bar? In my opinion, we’re doing them a disservice by prioritizing equity over rigor.
What’s even more concerning is how quickly AI has become embedded in education. Schools are adopting these tools without fully understanding their implications. Educators are told AI is inevitable, but what’s often missing is a critical conversation about its limits. For instance, AI can’t teach resilience, creativity, or ethical reasoning—skills that are far more valuable than any test score.
Looking ahead, I fear we’re on the brink of an academic reckoning. The students who grew up with ChatGPT are now applying to college. They’ve been told AI is a necessity, but they’ll soon face a harsh reality: the real world demands proof of skill, not just the ability to use a tool. This isn’t just a problem for them—it’s a problem for all of us. If higher education continues down this path, we risk producing graduates who are technically proficient but intellectually hollow.
So, where do we go from here? Personally, I think we need a radical reevaluation of how we assess learning. Standardized tests aren’t perfect, but they’re a necessary evil in a system that’s lost its way. We also need to treat AI with skepticism, not as a panacea but as a tool that must be critically examined. Most importantly, we need to reclaim the human element of education—the messy, unpredictable process that makes learning meaningful.
If there’s one takeaway, it’s this: education isn’t about shortcuts or efficiency. It’s about equipping students with the skills to navigate an uncertain world. And that’s something no algorithm can teach.
