Dr. Todd Milford

Associate Professor

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Biography

Todd Milford is an Associate Professor at the University of Victoria and a recognized leader in science education research. His scholarship spans Canadian and international contexts, with a particular focus on data-driven approaches to educational policy, curriculum development, and teacher preparation. As a co-editor of the landmark volume 'Science Education Canada: Consistencies, Commonalities, Distinctions,' Dr. Milford has played a pivotal role in shaping the national conversation around science education, offering nuanced analysis that bridges provincial practices with global trends. His research portfolio includes extensive work with large-scale survey data and international assessments, such as PISA, as well as innovative studies on the integration of STEM education in early childhood settings. Recent selected publications include: 'Findings from a pre-kindergarten classroom: Making the case for STEM in early childhood education' (International Journal of Science Mathematics Education, 2017), 'The Design Validation of Early Childhood STEM Classroom Observational Protocol' (International Research in Early Childhood Education, 2015), and 'Science teacher preparation in a North American context' (Journal of Science Teacher Education, 2015). He is also working on a forthcoming book, 'Seeing Science Through the Eyes of Canadian Teachers and Learners: Research on Secondary and Tertiary Science Education' (2025).

Research Interests

Courses

EDCI 403 Elementary Science Methods EDCI 581/681 Educational Research Methods EDCI 335 Learning Design

Requirements for University of Victoria

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:90
GRE General
Verbal
Required:130
Quantitative
Required:130
Analytical Writing
Required:0
Overall
Required:0
Prerequisites
BSc in Computer Science, Software Engineering or equivalent Background in Mathematics with emphasis on Computer Science
Application Checklist
  • Statement of Intent
  • Professional CV
  • Two assessment reports
  • Unofficial transcripts
Specialization Notes

Department: Department of Computer Science. GRE is highly recommended for international students.