ICDPL 2027
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Prof. Amara Nwosu

Keynote I

Prof. Amara Nwosu

7 Oct, 09:30 — Chair of Learning Sciences, Marlowe University London

The marking machine: what automated assessment learned from teachers, and what it forgot

Drawing on a four-year study across 62 secondary schools, Nwosu shows where machine marking outperforms panels of teachers, where it reliably fails, and why the failures cluster on the students who can least afford them.

Dr Henrik Sandvik

Keynote II

Dr Henrik Sandvik

8 Oct, 09:30 — Senior Research Fellow, Norwegian Institute for Educational Research

Twelve years of one-to-one devices: the Nordic evidence, reconsidered

Sandvik revisits the longitudinal data behind the Nordic reversals, separating the effects of the devices from the policies around them — and argues the strongest finding is about what schools stopped doing.

Prof. Li Wei Tan

Keynote III

Prof. Li Wei Tan

8 Oct, 15:45 — Professor of Curriculum Studies, National Institute of Education, Singapore

Small data, close reading: classroom research after the analytics boom

Tan makes the case for a return to close observation — video, transcripts, teacher diaries — presenting three studies in which the interesting result was invisible to every metric the platform collected.