Recent studies indicate that AI can boost motivation, at least for certain groups, when deployed under the right conditions, writes Yurou Wang, associate professor of educational psychology, University of Alabama, in The Conversation.
A 2025 experiment with university students showed that when AI tools delivered a high-quality performance and allowed for meaningful interaction, students’ motivation and confidence in completing task increased.
A forthcoming meta-analysis from my team at the University of Alabama, which synthesized 71 studies, echoed this finding. We found that generative AI tools on average produce moderate positive effects on motivation and engagement. The impact is larger when tools are used consistently over time rather than in one-off trials. Positive effects were also seen when teachers provide scaffolding, when students maintain agency in how they use the tool, and when the output quality is reliable.
But there are concerns about the quality of the evidence and the need for more careful research before one can say with confidence that AI nurtures students’ intrinsic motivation rather than just making tasks easier in the moment.
One reason to increase research: A large study of more than 3,500 participants found human–AI collaboration improved task performance, but once the AI was removed it reduced intrinsic motivation. Students reported more boredom and less satisfaction, suggesting overreliance on AI can diminish confidence in their own abilities.
Our team’s meta-analysis shows that, on average, AI tools do have a positive effect, but the size of that effect depends on how and where tools are used. When students work with AI regularly over time, when teachers guide them in using it thoughtfully, and when students feel in control of the process, the motivational benefits are much stronger.
Evidence shows that general-use tools like ChatGPT or Claude do not reliably promote intrinsic motivation or deeper engagement with content, compared to learning-specific subscription or license-based platforms such as ALEKS and Khanmigo, which are more effective at supporting persistence and self-efficacy.
Lessons from this growing body of research are straightforward. The presence of AI does not guarantee higher motivation, but it can make a difference when it is used in ways that strengthen students’ sense of competence, autonomy and connection to others.
For teachers, this means that AI may prove a useful partner in learning, but it should never serve as a stand-in for genuine instruction. For parents, it means paying attention to how children use AI at home — whether they are exploring, practicing and building skills or simply leaning on it to finish tasks. For students themselves, it is a reminder that AI can be a tool for growth, but only when paired with their own effort and curiosity.
Regardless of technology, students need to feel capable, autonomous and connected. Without these basic psychological needs in place, their sense of motivation will falter – with or without AI.
The Conversation
