Education stands at a crossroads. Despite progress, many classrooms remain shaped by outdated, standardised systems that prioritise test scores over real learning. This book challenges that paradigm and asks: Can AI help us fulfill the unkept promises of progressive pedagogy without sacrificing authenticity, inclusion, or humanity?
Learning and Assessment in the Era of AI explores how we can rethink education to meet today’s complex challenges:
While standardised tests offer data, they often fail to capture creativity, resilience, or deep understanding, and can disadvantage the very learners who need support the most.
Technology, especially AI, holds transformative potential. If used ethically and pedagogically, it can enhance learning by offering personalised feedback, inclusive tools, and real-time insight. However, careless implementation can widen gaps, undermine thinking, and reduce students to passive consumers. That’s why this book places pedagogy first, then shows how AI can serve it safely and meaningfully.
The book is grounded in the Learnlab model, a dynamic, research-based framework built on the ideas of Dewey, Vygotsky, Montessori, and others. It introduces five interconnected learning phases:
Each phase is rooted in holistic development: knowledge, skills and character.
It is more than a theoretical text, this is a practical guide with real examples, planning tools and case studies drawn from over 1,000 schools and universities. It includes reflections, models and strategies for leveraging AI to create inclusive, engaging and future-ready classrooms. Without losing what makes learning human.
By exploring the intersection of learning, assessment and technology, this book offers a hopeful vision: not one where AI replaces teachers, but where it empowers them, and their students, to thrive in a complex, ever-changing world.
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