Generative Artificial Intelligence and the Future Realisation of Sustainable Development Goal 4 in Higher Education
This qualitative study employs a futures literacy perspective to argue that while generative AI holds potential to advance Sustainable Development Goal 4 in higher education, its actual contribution to inclusive and equitable educational futures depends not on mere technological adoption, but on how institutions intentionally integrate, contextualize, and pedagogically guide its use.
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 vast landscape of global education, a new tool has arrived with the promise of reshaping how people learn. This tool is generative artificial intelligence, a type of computer program capable of creating text, images, and explanations that mimic human writing and thinking. For decades, the United Nations has championed a specific goal known as Sustainable Development Goal 4, which aims to ensure that everyone, everywhere, has access to quality education. This goal is not just about opening school doors; it is about making sure that once inside, students receive an education that is fair, inclusive, and capable of preparing them for a changing world. The central question facing educators today is whether this powerful new technology will help achieve that dream or if it will accidentally widen the gap between those who have access to resources and those who do not. While the technology itself is often discussed in terms of speed and efficiency, the deeper issue lies in how it changes the human experience of learning and whether it truly supports the long-term vision of a better future for all.
A researcher at the University of South Africa, Zuleika Suliman, set out to investigate this very question. She was not interested in simply counting how many students used the technology or how fast they could complete assignments. Instead, she wanted to understand the human stories behind the screens. Her study focused on a large distance learning module in South Africa, a context where students often face significant challenges with access to technology and support. To get a clear picture, she gathered the voices of fifty students and three lecturers who had been using these artificial intelligence tools in their daily studies. She asked them to share their honest experiences, fears, and hopes, looking specifically at how the technology affected their ability to access learning materials, participate in class, and maintain the quality of their education. The research was guided by a concept called "futures literacy," which is essentially the practice of using our imagination to think critically about the future. Rather than assuming the future is something that just happens to us, this approach asks us to consider how the choices we make today shape the world we will live in tomorrow.
The students who participated in the study described a mixed but largely hopeful experience. Many found the artificial intelligence to be a lifeline, offering immediate help when they were stuck on difficult concepts. One student, a working single mother, noted that the AI-generated notes saved her precious time, while others described the chatbots as tutors available at any hour. For many, the mere presence of this support made them feel more confident and willing to engage with their coursework. They felt less alone in their studies because they knew help was just a click away. However, the enthusiasm was not without caution. Students were quick to point out that having access to the technology did not automatically mean they were learning better. Some admitted that it was tempting to simply copy and paste answers, a habit that could stop them from thinking for themselves. Others worried that the information provided by the AI was sometimes too general or even incorrect. The most insightful students realized that the tool was most valuable when they used it to brainstorm ideas or check their understanding, rather than as a replacement for their own intellectual effort. They understood that the quality of their learning depended entirely on how they chose to use the tool.
The lecturers shared a similar perspective, viewing the technology as a powerful but double-edged sword. They saw great potential for the AI to expand access to education, providing round-the-clock support that human teachers simply could not match. They imagined a future where the technology could help break down language barriers and provide personalized explanations for every student. Yet, their optimism was tempered by a strong sense of responsibility. They were deeply concerned that without clear guidance, students might rely too heavily on the machine, leading to superficial learning and a loss of critical thinking skills. The educators emphasized that the future of education would not be determined by the technology itself, but by the choices they made today. They believed their role was to model responsible use, teaching students how to work with the AI rather than letting the AI do the work for them. They stressed that for the technology to truly support the goals of inclusive education, institutions needed to provide clear rules and support, ensuring that the tool served the student rather than the other way around.
The study concludes that the impact of generative artificial intelligence on education is not fixed or predetermined. It is not a magic solution that will automatically fix inequality, nor is it a danger that must be avoided at all costs. Instead, the research suggests that the outcome depends entirely on human agency. The technology can extend access to learning and help students develop skills needed for the future, but only if it is integrated with care, context, and clear educational goals. If institutions simply adopt the technology without thinking about how it fits into the lives of their students, it may reinforce existing inequalities. However, if educators and students approach it with a critical mind, using it to support rather than replace human thought, it could become a powerful force for good. The path forward requires more than just installing software; it requires a deliberate effort to imagine and build an educational future where technology serves to make learning more inclusive, equitable, and meaningful for everyone.
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