معرفی
Alison Gibbs is a Teaching Professor and Director of the Centre for Teaching Support and Innovation at the University of Toronto, where she has worked since 2000. Her research focuses on the teaching and learning of statistics and data science at all educational levels, with emphasis on adaptive expertise, curriculum development, and technology integration.
- Education: B.Math. in Applied Mathematics (University of Waterloo, 1988), B.Ed. (University of Western Ontario, 11989), M.Sc. in Statistics (University of Toronto, 1993), Ph.D. in Statistics (University of Toronto, 2000).
Her recent projects include the International Data Science in Schools Project, Census at School Canada, and Introduction to Statistical Ideas and Methods. Her publications highlight innovations in MOOC design, inverted classrooms, and professional identity development in statistics education.
Scientific awards include the 3M National Teaching Fellowship, STLHE President’s Teaching Award, and multiple University of Toronto Outstanding Teaching Awards. She collaborates with colleagues like Jen Campbell, Sotirios Damouras, and Nathan Taback on educational research and curriculum reforms.
