By Sodiq Adelakun
In recent years, technology has radically reshaped how students learn and interact with information across the globe. In Nigeria, artificial intelligence (AI) is fast becoming a fixture in academic life, reshaping research methods, aiding in problem-solving, and helping students engage with challenging material in fresh, dynamic ways.
However, this growing reliance on AI is not without controversy. As its influence spreads, questions have emerged around plagiarism, ethical responsibility, and the readiness of Nigerian universities to address these rapidly evolving issues.
With widespread access to smartphones, laptops, and online learning platforms, AI tools such as Meta AI on WhatsApp, Google Search, and academic databases have become everyday companions for students across the country. Whether used to summarise complex topics or tackle difficult assignments, these technologies are reshaping how students approach education.
“It’s really convenient, especially when I need to understand complex concepts or get a quick overview of a topic,” said Micheal Adedayo, an engineering student at the University of Lagos. “But I’ve also noticed that sometimes AI gives me incomplete or even inaccurate information. So, I always double-check everything. I don’t think AI should do the work for you, but it’s a great tool for getting started.”
For Salami Tomi, a business administration student at Yaba College of Technology, AI has become a vital tool for handling coursework and meeting deadlines. “I use Meta AI for quick answers and Google Search to help structure my assignments. But plagiarism is a big issue. There’s always the temptation to let AI do the bulk of the work, especially when deadlines are looming. I try to use it to supplement what I already know.”
In the medical field, AI tools show significant promise, particularly with diagnostic models and simulations. Yet, students like Ngozi from the University of Ibadan remain cautious. “I’ve heard about AI hallucinations—where the system generates false or misleading information. That’s a real concern, especially when students copy that into their work without verifying it.”
Salome David, studying electrical engineering at Federal Polytechnic Nekede, spoke of how AI is revolutionising learning in technical disciplines. “AI can simulate systems and suggest improvements for engineering projects. But poor internet speed and high data costs are serious barriers. If more students had reliable access, learning would be much more effective.”
Legal studies are also seeing an uptick in AI integration. Thompson Chidinma, a law student at the University of Nigeria Nsukka, pointed to both the benefits and risks. “I use AI mostly to summarise lengthy legal documents or to research case law. But the risk of plagiarism is very real. AI makes it easy to produce polished content that may not be original. We need clearer guidance from universities so students use AI responsibly rather than as a shortcut.”
Despite its many advantages, the integration of AI into Nigerian education is still uneven. Unstable internet connectivity, steep data costs, and the inconsistent performance of AI tools remain major hurdles. These challenges disproportionately affect students in rural and underserved areas, many of whom struggle to access digital tools consistently.
Internet reliability remains patchy in several parts of the country, and many students are forced to contend with high costs to maintain access. This digital divide further complicates efforts to democratise AI in education.
The issue of plagiarism looms large as AI tools become more sophisticated in generating essays and research papers. Students are increasingly tempted to use these systems to produce entire assignments. While AI is not inherently unethical, its ability to churn out high-quality content blurs the lines of academic integrity.
The problem is compounded by the phenomenon of “AI hallucinations”, where tools generate incorrect or fictitious information. Students who rely heavily on AI may unknowingly introduce errors into their academic work, undermining its credibility.
Ethical considerations extend beyond plagiarism. Concerns about data privacy, algorithmic bias, and the broader implications of AI in academia continue to grow. Nigerian students, like their counterparts globally, must learn to navigate these issues with care.
Although AI is making a significant mark on education, Nigerian universities are still figuring out how to formally address its influence. A handful of institutions have started to roll out guidelines aimed at promoting responsible use. These frameworks often stress the importance of properly attributing AI-generated content and using AI primarily as a research aid.
“We need better guidelines from universities to ensure students are using AI responsibly, and not for shortcuts,” said Chidinma, a view echoed by many students interviewed.
Some universities have also introduced training sessions and workshops to familiarise students and staff with ethical AI use. Still, a large number of institutions remain behind the curve in developing comprehensive strategies for AI integration.
Encouragingly, a few forward-looking universities are beginning to incorporate AI into their curricula, recognising it as a critical skill in the modern world. For this approach to succeed on a wider scale, institutions must invest in digital infrastructure and provide adequate training to equip both students and educators for the challenges ahead.
AI is here to stay, and as Nigerian education adapts to this reality, the key will lie in ensuring that its use enhances learning without compromising academic integrity or widening existing inequalities.
