Artificial Intelligence (AI) is rapidly redefining multiple sectors, and education is no exception.
Across Africa and beyond, educators, technologists, and policymakers are grappling with the exciting but complex potential of AI to transform how students learn and teachers can teach.
From auto-grading assignments to personalised learning and inclusive tools for students with special needs, AI promises to bridge gaps in accessibility, efficiency, and pedagogy. But with these possibilities come equally significant challenges, ethical dilemmas, policy lag, and questions about readiness and equity.
Rwanda has taken a pioneering step in this regard, becoming the first African country to adopt a national policy on AI, outlining a roadmap to harness its benefits while mitigating risks.
Rwanda’s National Artificial Intelligence Policy, for example, prioritises 21st-century skills and high AI literacy through implementing tax relief and grant programs, establishing a solid foundation in AI university education through research by establishing public-private fund programs and collaborations.
The policy also seeks to promote knowledge exchanges of students and professionals between Rwanda and other foreign countries through creating a special visa framework that targets highly skilled and exceptional talents, establishing talent talent-matching workforce to connect Rwanda-based AI professionals to jobs across Africa.
It is also working towards attracting students into Rwandan universities offering AI-related programs and carrying out community sensitisation on the use and adoption of AI. On the infrastructure front, Rwanda will upgrade infrastructure and through accessible, reliable and secure cloud storage facilities.
Yet, for many countries, these developments remain in the realm of aspiration rather than action. Claudette Irere, minister of state for Education of Rwanda said at the recent Global AI Africa Summit in Rwanda that AI is no longer a distant dream but is already and young people have the power to harness the power and where it doesn’t exist, all stakeholders are challenged to take the initiative.
She said AI should be a tool that benefits everyone and doesn’t become a tool to perpetuate the already existing divides. Earlier, Christine Niyizamwiyitira, a scholar-in-residence at Carnegie Mellon University Africa, emphasised the transformative potential of AI in education, describing it as a tool that mirrors human intelligence in solving problems and optimising learning.
She highlighted how generative and adaptive AI can be used to auto-grade assignments, check for plagiarism, and generate data analytics that allow teachers to track students’ progress more accurately.
These tools, if integrated into daily pedagogy, can relieve overburdened teachers and promote a more honest and effective learning environment.
“AI is already capable of assisting in subjects like coding or mathematics without causing harm,” she noted. “But when it comes to contextual or humanities-based courses, we need to tread carefully, especially when using tools trained on data from non-African cultures.”
This concern about context is echoed by Kenyan tech entrepreneur Mutembei Kariuki, who argues that Africa must avoid blindly adopting AI tools developed in Western or Asian contexts.
“The issue isn’t just technology—it’s culture,” he says. “AI systems reflect the data and values embedded in them. If we want inclusive, effective education systems, we need AI that understands our languages, our values, and our challenges.”
For example, automatic speech recognition can revolutionise learning for children with disabilities or those who speak indigenous languages. In large classrooms where teacher-to-student ratios are disproportionate, AI could personalize learning, allowing each student to progress at their own pace and according to their strengths.
Matthew Grollnek from Mastercard Foundation said that AI’s real value lies in its ability to individualise education.
“One teacher may be more visual, another more hands-on. But with AI, students can learn according to their personal preferences and timelines even while at home or out in the field,” he says.
“We need to start experimenting now, even if the systems aren’t perfect yet.”
Despite the enthusiasm, all speakers agree on one major obstacle: policy lag. AI, by nature, evolves faster than regulation can keep up. As young people across Africa begin using AI tools in everyday learning, governments remain unsure about how to integrate or supervise this disruption.
“Practice is far ahead of policy,” notes Mutembei. “The danger is in trying to regulate what we don’t fully understand. But the greater danger is in doing nothing.”
He points to Kenya’s move to review its AI policies as an example of how governments can begin to catch up.
“We need to bring everyone to the table; educators, tech developers, policymakers, students to build an ecosystem that supports experimentation without fear, while safeguarding ethical boundaries.”
One of the most pressing concerns is data privacy. With AI systems collecting vast amounts of student data, ensuring that sensitive information isn’t misused is vital. Niyizamwiyitira warns, “There’s a human behind every AI decision. We must have robust frameworks to ensure data is used responsibly and ethically.”
The European Union’s AI Act has introduced “colour coding” for AI systems based on their level of risk. Africa, too, needs such frameworks that consider local realities and contexts, the panellists argued.
Then there’s the fear that AI might replace teachers. But according to Matthew, the opposite is true: “AI won’t replace teachers—it will redefine their roles. Teachers will become mentors, coaches, and emotional anchors—roles they couldn’t fully play because they were too busy marking papers or preparing lessons.”
Niyizamwiyitira agrees. “As a continent, we’re behind, yes. But this could also be our advantage. We can leapfrog outdated systems and build education systems that are more inclusive, personalized, and equitable.”
Investing in teacher training and infrastructure will be crucial. So will mindset shifts—among educators, policymakers, and especially parents. Many parents still see education through a century-old lens, resistant to change.
“It’s harder to change parents than to build the technology,” Matthew remarks with a smile. The speakers also emphasized that while AI might not affect manual jobs immediately, repetitive knowledge-based tasks are already being replaced. As AI reshapes job markets, young people must acquire not just technical but soft skills adaptability, emotional intelligence, and problem-solving.
“In the AI age,” Mutembei adds, “skills that were once relevant for 10 or 20 years may now only last two or three.”
Ultimately, AI in education is not a silver bullet. But when thoughtfully implemented, it can empower both learners and educators to unlock their full potential. The call is clear: Africa must not be a passive user of AI but an active creator of homegrown solutions that reflect its unique cultures, languages, and aspirations.
As Niyizamwiyitira puts it, “We have a continent rich in data and creativity. With the right policies and vision, AI could help us build not just better students—but better societies.”
