The Next Generation of Classroom AI Will Be More Than Just a Chatbot

When ChatGPT was released, the entire education industry panicked. Schools scrambled to ban ChatGPT, and students were rampantly figuring out every possible method to cheat. Three years later, as the dust settles, we’re starting to see a massive sea change in the role of AI in the classroom.

“The first use cases of LLM’s gave students the tools to get instant answers, creating immense friction with educators,” explains Mohit Rohatgi, a strategy leader who has helped build AI tools that reached millions of students across companies like Course Hero & Paper. However, the narrative is changing. 

Teachers are finding utility in droves to help them with everything from assignment creation to grading to lesson planning. At the same time, schools are also starting to see the value of AI to deliver truly personalized learning for the first time at scale.

“Schools are now starting to see that AI has the potential to deliver truly personalized & curated instruction to all students, thereby magnifying outcomes for all students”.

Rohatgi is uniquely positioned to forecast this shift, having led the strategy behind high-impact AI products at multi-billion dollar edtech companies.

​The companies that win in the next decade won’t just build a chatbot. “While AI will be inherently conversational, conversation without the right context is too hollow,” Rohatgi emphasizes. “The companies that win will require true personalization, deep integration with a student’s learning history, context from teacher instruction, and guardrails to ensure cheating doesn’t occur.”

​He notes that an effective AI tutor must synthesize historical student performance, understand foundational gaps, and cater its approach to bridge specific weaknesses. This deep engagement creates a continuous feedback loop where the AI refines its teaching based on deep understanding, effectively giving every student their own personalized instructor.

“This is the level of personalization that a generic, off-the-shelf chatbot simply cannot offer,” he concludes. “The goal isn’t to answer questions faster. It is a future where every student has an always-on, hyper-personalized teacher that understands the exact nuances of their learning gaps and can bridge those gaps at the time they need it.”

For educators, a first glance at AI technology points to significant risks for a student’s ability to learn on their own. Even when an answer was a search query away via the internet, they had to research it for themselves. Now, a solution is provided with a single prompt. An AI orientated toward education cannot be a source of answers but of guidance. Through personalization, a focus on learning, and integrity, AI tools may find a lasting home in the education space. While the extent of that role remains to be seen, the limitations of AI chatbots are already shifting. For students and teachers alike, the applications of these systems will carry weight well into the future, creating a more dynamic environment for growth. 

Ultimately, the evolution of these intelligent agents signals a shift toward a more equitable and efficient educational landscape for everyone involved. As these tools continue to evolve, the partnership between human educators and artificial intelligence will remain essential for fostering a truly supportive learning environment.