Rethinking EdTech: Balancing Innovation and Education in Hungary

Walking into any given classroom in America, you might find a tableau of quiet isolation. Students with headphones on, heads down, staring at tablets. The industry term for this scene is personalized learning. A dashboard somewhere might even call it engagement. But ask the teacher standing in that room, or the students tapping away, and you’ll get a different story. As someone who has spent the last decade inside the education technology industry, I can tell you much of the growing backlash is justified. But it also misses the forest for the trees.

Parents questioning whether screens make their children better learners are asking the right questions. Politicians demanding proof are doing their job. The National Education Association’s call for caution on student-facing AI in elementary schools is a sensible warning. These aren’t fringe positions; they’re the direct result of years of unanswered concerns from educators. The alarms about screens impacting mental health, attention spans, and academic outcomes have grown from a whisper to a movement.

However, the reflexive answer—blanket bans and broad restrictions that make no distinction between a distracting app and a powerful instructional tool—isn’t a solution. It’s an avoidance. Walking away from technology entirely isn’t protection; it’s abdication. The students in those classrooms today are inheriting a world that runs on code and requires digital fluency. A middle schooler who can’t critically evaluate an online source or understand the ethics of a new AI system isn’t a student we’ve protected. She’s one we’ve left behind.

The answer to bad edtech isn’t no edtech. It’s higher standards, better tools, and a philosophy that keeps teachers firmly at the center. This philosophy draws a clear line. Teachers should have access to tools that extend their reach, lighten their administrative load, and provide a real-time map of student understanding. But any tool a student interacts with directly must clear a much higher bar: it must make the subject come alive in a way that print or hands-on learning simply cannot.

In my work, I make evidence-based decisions about what belongs in print, what belongs in hands-on learning, and what belongs in digital form. When technology doesn’t add clear, demonstrable value, we choose print. But sometimes, print can’t do the job. Digital tools can:

• Help students visualize complex math as it appears in the real world
• Provide immediate feedback that deepens understanding
• Run a science simulation that a static page could never replicate
• Advance learning in uniquely powerful ways
• Strengthen classroom communities
• Offer authentic choices that build self-determination

For the youngest learners, from pre-K through second grade, that standard must be even higher as foundational skills are built through human connection, not screen time.

Done right, the result looks and sounds nothing like that silent, isolating opening scene. It’s louder, messier, and more alive. With purposeful technology, a teacher can see in real time that twenty of her thirty students solved a problem one way, while ten solved it differently. She can then ask each group to explain their thinking, sparking a discussion richer than any pre-scripted lesson could offer. This kind of immediate feedback isn’t just good teaching; research from institutions like MIT’s Teaching Systems Lab shows it can significantly accelerate understanding.

This same principle applies to the current frontier: artificial intelligence. The debate too often casts AI as either a silver bullet or an existential threat. Both are wrong. Like any tool, AI must earn its place. And the early evidence on student-facing use is sobering. A recent Stanford University study found that high schoolers who used a general-purpose AI chatbot to study for exams scored, on average, 17 percent worse. A tool that does the thinking for students isn’t a tutor; it’s a shortcut to poorer outcomes.

That’s why, for now, my focus is on applying AI not to replace student thinking, but to empower teacher insight. Consider a math lesson where 35 students each submit a different written solution. An AI tool can read every response, instantly identify the most conceptually interesting answers—the ones ripe for a productive class discussion—and hand the teacher a curated summary. The AI handles the rapid analysis. The teacher handles the room, the discussion, and the human connection. The students get a lesson built dynamically around their actual thinking.

To the legislators drafting reactive bills and the parents rightly demanding change: keep pushing. But push toward a better standard. Move the conversation from how many minutes students spend on screens to whether the tools on those screens are evidence-based, whether they serve teachers or aim to replace them, and whether student data is treated as a sacred trust rather than a monetizable asset. These questions get to the heart of the problem far more effectively than any simple time limit ever could.

There are signs the debate is maturing. More policymakers are starting to ask about quality, not just quantity. The students caught in this crossfire deserve more than a narrow argument about screen time. They deserve an honest, nuanced conversation about which tools truly deepen learning and which merely distract from it. The goal isn’t to remove technology from the classroom. It’s to ensure that when it enters, it does so with a clear purpose and a proven benefit, leaving the teacher’s vital role not just intact, but powerfully enhanced.