At the time, there was, understandably, considerable debate about the potential and the risks of artificial intelligence in education. Questions were being raised about the implications for future curricula, teaching, and assessment.
Underlying possible responses to such questions were fundamental inquiries into the very concept of intelligence. What did it mean to say that a tutoring or assessment system was intelligent? What did we mean by human intelligence? Could existing assessment approaches continue to be relied upon when AI systems appeared proficient in tasks and tests that had previously been associated with human intelligence? What forms might future measures take? This webinar was relevant to all nations in the UK and maintained a strongly global perspective – the authors reported on their international work with the OECD, United Nations, and European Commission.
The webinar provided a timely opportunity to engage with these questions. It offered participants:
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Theoretical Insights: An introduction to evolving definitions and approaches to the measurement of intelligence in both humans and machines (including considerations of collective intelligence and animal intelligences).
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Critical Perspectives: An examination of how societal framings of intelligence could influence educational policies and practices.
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Interdisciplinary Dialogue: An opportunity to hear dialogue between researchers from different fields, including educational research, artificial intelligence, and measurement more broadly.