Artificial Intelligence in Mathematics Education: University Students’ Perceptions and Challenges in Sub-Saharan Africa

In the classrooms of universities across Ghana, a quiet revolution is taking place. For decades, learning mathematics has relied on the steady rhythm of textbooks, lectures, and the solitary struggle of working through problems with pen and paper. Today, a new kind of helper has entered the room: artificial intelligence. These are not just simple calculators, but sophisticated computer programs capable of learning, reasoning, and offering step-by-step guidance much like a human tutor. They can visualize complex shapes, explain abstract ideas in different ways, and provide instant feedback on a student's work. The promise is a future where every learner has a personal guide available at any moment, tailored to their specific pace and needs. Yet, technology is only as good as the people using it. If students do not trust these tools, if they feel lost without a teacher's hand, or if the tools themselves are unreliable, the potential for transformation remains locked away. Understanding how students actually feel about this new landscape is crucial, because their willingness to embrace these tools will determine whether mathematics education becomes more accessible or more divided.

Researchers in Ghana recently set out to understand this exact dynamic. They wanted to know how university students view the role of artificial intelligence in their math studies and what hurdles they face when trying to use it. The team, led by Francis Ohene Boateng and Isaac Davor from the Akenten Appiah-Menka University of Skills Training and Entrepreneurial Development, surveyed 550 students from various universities across the country. These students were at different stages of their education, ranging from undergraduates to those pursuing advanced doctoral degrees, and they came from a mix of public and private institutions. The researchers asked them to rate how important they believed these AI tools were for their learning and to identify the specific challenges that made using them difficult. The goal was not to test the software itself, but to listen to the people who use it, capturing their hopes, their frustrations, and their daily realities in a region where access to digital resources can be uneven.

The findings revealed a clear and consistent sentiment: the students see the value. When asked about the importance of artificial intelligence, the overwhelming majority agreed that these tools are highly beneficial. They reported that AI helps them grasp difficult mathematical concepts that might otherwise remain confusing. One specific benefit stood out above the rest: students felt they gained the most from the customized, step-by-step guidance these systems offer when tackling tough problems. It was as if having a patient tutor available at all hours allowed them to break down complex tasks into manageable pieces. They also noted that these tools made their lessons feel more interactive and engaging, helping them practice concepts independently outside of regular class hours. Even when comparing AI to traditional textbooks, students held a nuanced view; while they acknowledged that textbooks remain high-quality academic resources, they still felt that AI systems offered distinct advantages for their learning, though the claim that AI enables them to solve problems more efficiently than textbooks alone received the lowest level of agreement among all the importance items surveyed. The data showed that this positive view was shared across the board; it did not matter if the student was male or female, or whether they had been using these tools for a few years or for a decade. There were no statistically significant differences in how these groups perceived the importance of AI, indicating a unified recognition of its value for mathematical education.

However, the story becomes more complicated when looking at the obstacles standing in the way. While the students were enthusiastic about the potential of AI, they also faced real and pressing difficulties. The most significant challenge they identified was not a lack of interest or a fear of the technology itself, but a lack of guidance. The top-rated problem was the insufficient support from teachers on how to use these tools responsibly and effectively. Students found themselves navigating powerful new technologies without a clear map or a mentor to show them the best path. They worried that without proper instruction, they might use the tools incorrectly or rely on them too heavily, potentially weakening their own ability to think through problems on their own. This concern about overreliance was a recurring theme; many students feared that depending on AI for answers might erode their fundamental mental math skills and their capacity for independent reasoning.

Beyond the classroom dynamics, practical barriers also loomed large. Students pointed to inconsistent internet connectivity as a major hurdle, noting that slow or unreliable connections made it difficult to use these tools effectively when they needed them most. There were also concerns about the cost of premium software, which could restrict access for those without the financial means to pay for high-quality resources. Interestingly, the nature of these challenges shifted depending on the student's experience. Those who had been using AI for six years or longer reported feeling the challenges more acutely than those with less experience, a difference that was statistically significant. As students advanced in their studies and encountered more complex mathematical topics, they became more aware of the limitations of the technology and the critical need for human oversight. They realized that while AI could offer a solution, verifying its accuracy required a level of expertise that they were still developing.

The study also looked closely at whether gender or the level of study influenced these perceptions. The results showed that while men and women agreed equally on the importance of AI, they did not perceive the challenges in the same way. Male students reported slightly higher levels of difficulty and concern regarding the barriers to using these tools compared to their female counterparts, a difference that was statistically significant. This suggests that while the value of the technology is universally recognized, the experience of navigating the obstacles surrounding it may differ based on gender. Similarly, while students at all academic levels—from undergraduates to PhD candidates—agreed on the importance of AI, those at the highest levels of study tended to report the most intense challenges. Although this upward trend in perceived challenges among PhD students was observed in the descriptive data, the differences across academic levels were not statistically significant, suggesting that while advanced students may feel the pressure more acutely, the variation is not strong enough to be considered a definitive difference across the entire student body.

Ultimately, this research paints a picture of a student body that is ready and willing to embrace artificial intelligence but feels unsupported in doing so. The students are not rejecting the technology; they are eager to use it to deepen their understanding of mathematics. However, their enthusiasm is tempered by a genuine need for structure. They are calling for clear policies, better training for their instructors, and reliable infrastructure to ensure that these tools can be used safely and effectively. The study suggests that the future of mathematics education in this region depends less on the availability of the software and more on the human framework built around it. Without formal guidance and institutional support, the gap between the potential of AI and the reality of the classroom will remain wide. The path forward requires universities to step in, not just to provide the technology, but to teach students how to wield it wisely, ensuring that these powerful tools enhance rather than replace the critical thinking skills that are the heart of mathematics.