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David García
David García

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The problem with ‘AI for education’ tools nobody talks about

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TL;DR: Most “AI for education” tools are overhyped, focusing on superficial automation instead of genuinely addressing the core challenges of effective learning.

The problem with ‘AI for education’ tools nobody talks about

Let’s be clear: the idea of AI revolutionizing education is tempting. We’re bombarded with promises of personalized learning paths, instant feedback, and automated grading. But as a developer and someone who’s spent years building tools to actually improve learning, I’m seeing a massive disconnect between the hype and the reality. The biggest problem isn't the technology itself; it's that most “AI for education” tools are treating education like a coding problem – a problem with a neat algorithm and a predictable outcome.

I recently spent a week trialing a platform marketed as an "AI-powered writing assistant for high school students." It analyzed essays, flagged grammar errors, and suggested stylistic improvements. Sounds great, right? The problem? It was relentlessly prescriptive. It identified ‘passive voice’ and ‘wordiness’ with an almost obsessive zeal, completely ignoring the student's intent and the context of the assignment. The student, a bright 16-year-old grappling with a complex argumentative essay, ended up spending more time battling the AI’s suggestions than actually crafting his argument. The result wasn't a better essay; it was a frustrated student and a perfectly polished, yet utterly lifeless, piece of writing.

This isn't about hating AI. It's about recognizing that learning is fundamentally messy, subjective, and deeply rooted in human interaction. AI can augment the process, but it can't replace the crucial role of a teacher in guiding critical thinking, fostering creativity, and providing nuanced feedback. These tools often prioritize surface-level metrics – sentence length, word complexity – over genuine understanding.

A Practical Tip: Leveraging Zapier for Automated Feedback

Instead of relying on a bloated AI platform, consider a simpler, more targeted approach. Zapier, for example, can be configured to automatically send a basic grammar check from Grammarly to students after they submit an assignment. This provides immediate feedback on common errors without the over-engineering and potential for misinterpretation. You can even build a simple workflow that flags specific keywords indicating areas where a student might need further support. It’s a focused solution that addresses a specific pain point, rather than attempting to solve the entire learning process.

Here's a basic Zapier workflow example (using a Google Form submission as the trigger):


// Trigger: Google Form submission (e.g., "Essay Submission")

// Action 1: Grammarly Grammar Check - Send a request to the Grammarly API

// Action 2: Email Notification - Send an email to the teacher with the Grammarly report

Want to explore building more sophisticated automation workflows for education? Check out my resource hub:

Automation Tools for Educators

Ultimately, the focus should be on empowering educators with tools that streamline their workflow and allow them to spend more time directly interacting with students. Let's move beyond the hype and build solutions that genuinely support the human element of learning – not replace it.

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Itelnet Consulting

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