Students across schools and universities are increasingly relying on large language models to think through academic work, a shift that researchers and students say is beginning to affect cognitive skills and classroom engagement.
Growing Dependence on AI in Classrooms
It is becoming common for students to outsource their thinking to AI tools, with observable consequences in academic performance. Elementary students are reportedly losing cognitive skills, while others are seeing a decline in exam outcomes.
In higher education, similar patterns are emerging. A student at Yale University described how the use of AI has begun to shape classroom dynamics, with peers frequently turning to these tools during coursework and discussions. According to the student, class participation has become more uniform, with fewer distinct perspectives being shared.
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Decline in Original Thought and Discussion
Students report that conversations in seminars are becoming increasingly predictable, with participants echoing similar ideas rather than offering varied viewpoints. One student noted that where discussions once reflected diverse approaches, they now tend to converge around similar lines of thinking.
Another student described how, at the start of classes, many peers upload course materials into AI systems, effectively outsourcing their preparation. Instances have also been observed where students turn to AI in real time during class to answer questions posed by instructors.
Researchers have linked these trends to broader concerns about human expression. A study cited in the journal Trends in Cognitive Sciences argues that reliance on large language models may influence how individuals approach problems, use language, and reason through complex issues.
Concerns Over Cognitive Impact
Morteza Dehghani, a professor of psychology and computer science at the University of Southern California and co-author of the study, described the implications as concerning. He warned that reduced cognitive diversity and increasing intellectual passivity could have wider societal effects.
“If people lose cognitive diversity or get into intellectual laziness, of course, that is going to affect our society greatly,” he said.
The findings suggest that as AI tools become more embedded in academic settings, their influence may extend beyond individual performance to reshape patterns of thinking and interaction in educational environments.
