Today’s weekend reading was written by Dr Andrew Woon, Senior Lecturer in Strategic Management at Queen Mary, University of London.
Generative AI is revolutionising industries, with education at the forefront of this transformation. Traditional models of knowledge acquisition are being challenged as AI redefines how we access and process information.
As AI becomes more accessible and accepted by the public, its potential to reshape the majority of jobs in the market has become increasingly evident. Consequently, AI literacy has emerged as a foundational skill for careers and entrepreneurship. Given that universities are not only institutions of learning and development but also the cornerstone of a nation’s competitive advantage, the impact of AI on education attracts significant attention.
As an educator, I believe that AI has lowered the barriers to accessing knowledge and education, enabling more students, especially those who previously lacked opportunities to benefit. On the other hand, AI has also raised the bar for teaching, as the accessibility of information and knowledge is transforming traditional teaching and learning paradigms. To excel as a teacher today, one must possess not only subject expertise but also advanced pedagogical skills and the ability to stay current with emerging trends.
I echo the sentiments of computer scientist Professor Argamon, who views AI as a technology that can make education more human-centred rather than replacing teachers. AI enables educators to focus on the most critical aspect of their work—teaching and mentoring students rather than merely delivering courses. By leveraging AI, teachers can spend more time engaging with students and actively supporting their holistic development.
AI should not simply be seen as a new complementary skill but as a driving force for educational transformation. Our education system must evolve from a focus on traditional knowledge-based learning outcomes to prioritising skill development, reflective thinking, and innovation-driven learning. This shift will better prepare students to adapt to future challenges and enhance their competitiveness.
The Latin root of the word ‘curriculum’ is ‘currere’, meaning ‘to run’. In academic contexts, a curriculum is defined as a learning plan consisting of a series of activities and courses. Our education system has overly prioritised credit accumulation, often neglecting the ethos of lifelong learning and the importance of continuous self-improvement. Therefore, I advocate that education should not merely be a three- or four-year programme but rather the starting point of a lifelong journey encompassing both depth and breadth of learning in knowledge and skills.
The rapid development of AI should serve as a catalyst for everyone to pursue personal growth. As Professors David Lefevre and David Shrier of Imperial College Business School have suggested, we need to refocus curricula on skills and capabilities that are challenging for AI to replicate. This shift aligns with a move toward more personalised, socially focused, and mentorship-driven education models. Such a transformation would fundamentally change traditional teaching and learning methods, equipping students to better face future challenges.
The greatest value of universities lies in their role as intellectual hubs that foster curiosity, critical questioning and new creation. Universities should teach students to think independently rather than simply follow instructions. Our education system must stop producing “cookie-cutter” graduates who cannot compete with AI.
With the rise of online education and the prevalent use of AI, traditional higher education models are facing unprecedented challenges. Higher education institutions are caught in a paradox: on one hand, they require significant resources to retrain staff in new pedagogies and upgrade facilities; on the other hand, they are grappling with the pressures of cost-cutting. Therefore, balancing cost-effective solutions with quality education remains one of the greatest dilemmas for higher education institutions.
I believe fostering deeper collaboration with industry is a viable way forward to mitigate the financial pressures associated with AI investment. By engaging with industry-specific AI tools, students gain valuable exposure and hands-on learning experiences that better prepare them for employment. At the same time, employers benefit from graduates who not only meet their expectations but also possess the skills to excel in their roles.
In conclusion, the mission of education must focus on cultivating well-rounded individuals equipped with critical thinking, adaptability, curiosity, and a strong sense of social responsibility. By embracing AI as a transformative force and equipping both staff and students with the right mindset and values, universities can empower their graduates to thrive in an ever-evolving world. This approach will ensure that education remains relevant, impactful, and aligned with the demands of the future.
