Artificial Intelligence Use and Its Cognitive and Psychological Correlates Among Medical and Allied Health Students in Ibadan, Nigeria
This cross-sectional study of 365 medical and allied health students in Ibadan, Nigeria, reveals that while AI is widely adopted for academic purposes and shows a modest independent association with higher cognitive reflection, its frequency of use does not significantly impact psychological well-being, which appears more influenced by institutional context.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
In the modern classroom, a new kind of helper has arrived, one that does not sit at a desk but lives in the cloud. This helper is artificial intelligence, a technology that mimics human thinking to answer questions, solve problems, and write text. For students training to become doctors and nurses, the stakes are high. Their education requires them to master vast amounts of information, think critically about complex situations, and maintain the mental resilience needed to care for sick people. The central question facing educators today is whether this new tool acts as a bridge to deeper understanding or a crutch that weakens the mind. Does asking a machine for answers help a student learn to think for themselves, or does it make them dependent? Furthermore, does leaning on this technology ease the heavy stress of medical school, or does it add a new layer of anxiety?
Researchers in Ibadan, Nigeria, set out to find the answers to these questions among students training for health professions. They focused on a group of 365 undergraduate students studying medicine, nursing, pharmacy, and other allied health fields across three different universities. These institutions represented a mix of federal, state, and private sectors, offering a broad view of how students in a resource-constrained setting are interacting with technology. The team wanted to see how often these students used artificial intelligence, what they used it for, and how that usage connected to two specific areas of their lives: their ability to think deeply and reflect on their own reasoning, and their overall psychological well-being, including their levels of stress and anxiety.
The results revealed that the use of this technology is already widespread. Nearly all the students surveyed, about 92 percent, reported using artificial intelligence for their studies. Among those who used it, almost half said they relied on it every single day. The most popular tool was a conversational program known as ChatGPT, which students turned to primarily as a study aid, to solve academic problems, and to summarize long texts. The researchers found that students who used these tools more frequently showed a slight but measurable improvement in their ability to engage in cognitive reflection. This is the mental process of stopping to think carefully about a problem rather than relying on a quick, intuitive guess. In simple terms, the more often the students used the technology, the more likely they were to demonstrate this kind of careful, analytical thinking, even after the researchers accounted for factors like age, gender, and the specific school they attended.
However, the story was different when looking at the students' mental and emotional state. While a quick look at the data suggested that frequent users might be more stressed, a deeper analysis showed that this connection was not caused by the technology itself. Instead, the students' psychological well-being was far more strongly influenced by the specific university they attended. One private university in the study had students who reported significantly higher levels of distress than those at the public institutions, regardless of how much they used artificial intelligence. This suggests that the environment and support systems of the school play a much larger role in a student's mental health than the mere act of using a digital tool.
The study also uncovered a subtle risk hidden within the high usage rates. Students who used the technology every day were more likely to accept the answers provided by the computer without checking if they were correct. About 63 percent of daily users admitted to accepting the output without verification, compared to only 42 percent of those who used the tool less often. This indicates that while the tool might be helping students think more deeply in some ways, it is also encouraging a habit of trusting the machine too quickly. The researchers noted that this behavior could be dangerous for future healthcare workers, whose decisions must always be based on verified facts and critical judgment.
Ultimately, the study paints a picture of a generation of health students who have fully integrated artificial intelligence into their learning routine. The technology appears to be a useful partner for sharpening analytical skills, but it does not solve the deeper emotional challenges of medical education. The findings suggest that the key to success lies not in banning the tool or letting students use it without limits, but in teaching them how to use it wisely. Schools need to provide clear guidelines and training that help students learn to question the machine, verify its answers, and use it as a scaffold for their own thinking rather than a replacement for it. The future of healthcare depends on professionals who can harness these powerful tools without losing their own ability to think critically and care for others.
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