Much of the debate about AI in universities is framed as a choice between two fears and a hope. Will AI do students’ thinking for them? Or could it take away some of the unnecessary mental strain of studying, leaving them freer to learn? A new open-access study in Scientific Reports offers some evidence on the second question, though not on learning itself.
In short: among 390 university students in Bangladesh, those who found AI tools useful, and those who used them more often, reported better mental health and less cognitive overload. The study is a one-off survey, so it shows associations, not cause and effect.
What the researchers looked at
The team, led by Mohammad Nurul Alam, surveyed 390 undergraduate and postgraduate students at public and private universities in Bangladesh. They asked about:
- how useful students thought AI tools were for their learning;
- how often they used AI for academic work;
- their sense of cognitive overload, the feeling of having more information and demands than they can process;
- their mental health; and
- their digital self-efficacy, meaning their confidence in using digital tools well.
Using a statistical technique called structural equation modelling, they tested how these factors related to one another, and whether cognitive overload helped explain any link between AI use and mental health.
What they found
- Usefulness and mental health. Students who saw AI tools as useful reported better mental health.
- Frequency and mental health. Students who used AI more often for their studies also reported better mental health.
- The role of overload. Both perceived usefulness and frequency of use were linked to lower cognitive overload, and higher overload was linked to poorer mental health. Overload partly explained the connection between AI use and well-being.
- Confidence matters, sometimes. Digital self-efficacy strengthened the link between finding AI useful and mental health, but did not significantly change the link between how often students used AI and their mental health.
Why it matters
The findings fit with the idea that AI tools can help students organise information, work through difficult material and manage their workload, and that reducing unnecessary mental burden may support well-being.
But it is worth being clear about what the study did not measure. Despite the paper’s title, it did not assess learning or achievement. Feeling less overwhelmed and learning more are related but different things. A student might feel calmer while learning no more effectively. Equally, a tool could make tasks feel easier precisely because it is doing some of the thinking that would otherwise build understanding.
For universities, the study suggests that how students experience AI tools, and how confident they feel using them, deserves attention alongside questions of academic integrity and learning quality.
A note of caution
This was a cross-sectional survey: students were asked about their experiences at a single point in time. That means it cannot show that AI use caused better mental health or lower overload. The relationship could easily run the other way, or be driven by something else. Students who are already confident, less stressed or better supported may simply be more likely to use AI tools, and to use them well.
All the measures were self-reported, and all the students came from one country. The results may not apply to students with different educational experiences or different access to technology. The article is also an early version that may be edited before final publication.
Source
Alam, M. N., Alharbi, T. F., Islam, M. A., Amin, M. B., Mustafa, Z., Ali, Z., Zygiaris, S. & Azad, M. A. K. (2026). Integrating artificial intelligence into higher education balances student learning benefits and cognitive overload. Scientific Reports. Published 8 October 2026. Open access.
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