AI tutors promise cheap, personalized education — but students still need convincing to use them

Artificial intelligence has been hailed by many as the solution to one of education's oldest problems: how to give every student individualized attention, similar to private tutoring, without the enormous costs that come with it. AI tutoring platforms promise exactly that — instruction tailored to each child's needs, available anytime, at a fraction of the price of a human tutor.

According to The 74, the reality in schools shows that simply having these tools available does not guarantee their success. Even when students receive additional human support, actually motivating them to use AI tutors remains a significant obstacle — one that has proven harder to overcome than education policymakers initially assumed.

The core problem identified is behavioral rather than technological. Students may have access to sophisticated tools capable of adapting content to their own learning pace, but without strong internal or external motivation, these resources risk going unused.

The human factor in the equation

One interesting finding from the research is that the presence of human support alongside AI tools does not automatically solve the engagement problem. Even in cases where students receive guidance from adults on how to use AI tutors, results are not guaranteed.

This suggests that the success of integrating AI into education depends on a complex combination of factors: platform design, how the tools are introduced to students, and the pedagogical strategies that accompany them. Technology alone, no matter how advanced, cannot fully replace the motivational element that is essential to the learning process.

For Romanian schools just beginning to integrate such solutions, the conclusions drawn in the United States offer a useful warning: investment in technology must be matched by clear strategies to sustain student engagement over the long term.