You’re invited to join Professor Linda Castañeda (University of Murcia, Spain) as she examines how data, AI and educational judgement shape, enact and transform education.
Education takes shape through what we make possible, what people do with those possibilities, and the judgements through which we decide what matters. These processes are never entirely individual: they emerge through relationships between people, designs, institutions, technologies, policies, families and histories.
Data-intensive technologies, and more recently AI, are becoming increasingly entangled in all three. This seminar uses three ideas — shaping, enacting and deciding — to explore these relationships. Shaping directs attention to the conditions through which particular forms of education become possible, desirable or difficult. Enacting turns to how education is actually brought into being in situated and relational practice, often in ways that exceed what was designed, intended or represented. With deciding, we arrive at educational judgement itself, how we determine what matters, what should be done, and what we are prepared to take responsibility for.
Drawing across my work on agency, learning design, critical digital competence, data literacy and digital transformation, I will explore how data and AI are reconfiguring the relationships between these processes and what this reveals about the kinds of education we are shaping, enacting and ultimately choosing to make possible. I’ll argue that educational judgement itself is what’s at stake — and ask what it would take to keep it relational and contestable, accountable to others and accountable for the worlds our educational decisions help to make.