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Rethinking Professional Learning in an Era of Data Driven Work
In the race to generate ‘data-driven’ solutions, we run the risk of sidelining human experiences. AI and digital data are having a massive impact on work and learning. Efforts to utilise data in ways that empower people, like making data open and FAIR (Findable, Accessible, Interoperable, and Reusable), tend to focus on technical areas such as…
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Researching accessible education in the age of AI
This talk will discuss recent educational technology research projects which suggest ways in which AI can support or challenge equitable learning at scale. It will focus particularly on social and institutional elements of education as these are questioned by the AI. Relationships between disability and technology, and between teaching and learning, provide ways to think…
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Research as storytelling: what students and staff are saying about AI in assessments
In the rush to respond to generative AI in higher education, we risk operating from assumptions rather than evidence about what students and staff in universities are experiencing. This keynote explores how theoretically grounded qualitative research can challenge dominant narratives, such as students as cheaters or staff as purely reactive, without claiming generalisability. Drawing on…