In the age of generative AI, we face a major challenge: the growing gap between technological advancements and a humanistic understanding of education. This divide threatens our ability to use AI tools wisely and our capacity to foresee their societal impact. Generative AI is profoundly shaping our everyday educational experiences in classrooms and in decision-making institutions. It is transforming, with remarkable speed, how we learn and create.

In traditional education, most students, regardless of background, ability or temperament, followed a general curriculum designed for the collective rather than the individual. In an era where individuality and personalisation have become pillars of modernity, the limitations of this approach are clear. Yet, many educational stakeholders – students, teachers and policymakers – struggle to grasp how generative AI can enhance individual learning while addressing ethical and societal challenges. This lack of understanding creates tensions, hindering the harmonious integration of generative AI in education.

Personalised Learning

It is not that the concept of personalised learning is new. In his 1762 work Emile, or On Education, Jean-Jacques Rousseau advocated for education tailored to each student’s needs and interests. More recently, educator Célestin Freinet promoted an approach that respected each child’s rhythm and curiosity. However, these methods have remained on the margins of the education system, limited by the demands of mass education. While reforms have widened access to education, they often neglect the diversity of students’ talents and aptitudes. Today, generative AI presents an opportunity to address the challenges of personalised learning that traditional education struggles to overcome.

With its data analysis capabilities, generative AI promises real-time, tailored adaptation to individual needs without overburdening teachers. Using sophisticated algorithms, generative AI can analyse students’ performances, learning styles and preferences, designing custom learning paths that adjust levels of difficulty and types of exercises as students progress.

For instance, Harvard’s tailored generative AI tutor integrated into a physics course significantly boosted student engagement by providing real-time support and tailored feedback. Yet, educators emphasize that generative AI should augment, not replace, human instruction, highlighting the distinct strengths of both.

While AI excels in delivering personalized feedback, it lacks the nuanced contextual understanding and adaptability offered by human educators, especially in nurturing critical thinking and ethical reasoning. Over-reliance on AI could undermine the teacher’s role as a guide for deeper intellectual exploration. For this reason, inclusive teacher training programs integrating ethical and pedagogical frameworks are needed to ensure AI enhances the educational mission.

Another concern is generative AI’s effect on creativity. If an algorithm guides every aspect of a student’s learning, are they still free to explore and make mistakes? Research at the University of South Carolina found many students became overly reliant on generative AI, limiting their independent exploration and creativity.

Teacher Training

Digital-native students are familiar with these technologies, yet they often lack an understanding of the ethical implications. Today’s teachers find themselves caught between the call to innovate and inadequate training, necessitating a thorough rethinking of education.

Integrating generative AI epistemology into teacher training is crucial. For example, the AI4T project in France equips educators with tools such as MOOCs to integrate AI into classrooms while emphasizing ethical considerations. Similarly, the EducateAI initiative in the United States provides resources for teachers, promoting accessible AI education.

This training should equip teachers to navigate the complex challenges of personalised learning environments without turning them into engineers. Ensuring that generative AI serves to democratize education and stimulate informed discussions about AI’s role is essential.

Generative AI must not replace fostering critical thinking, creativity, empathy, and ethical reasoning. These values are central to a humanistic understanding of education, ensuring learning remains focused on the holistic growth of individuals.

As education evolves, it is essential to collectively define the goals and values guiding generative AI integration, preventing these technologies from progressing autonomously. Only then can they enhance our humanity, fulfilling our educational aspirations.