Dr. Lee Martin

Professor

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Biography

Lee Martin is a Professor at the School of Education at the University of California, Davis. He serves as the principal investigator for the Beta Lab, focusing on research related to enhancing learning environments and mathematical thinking. His work emphasizes the informal learning settings that foster adaptive expertise and explores how young people can be supported in their learning processes. Throughout his career, Martin has contributed significantly to the understanding of how various resources can impact learning, particularly in the context of mathematics education and the Maker Movement. He has published numerous articles in reputable journals, focusing on topics such as engineering education and the role of playful learning in K-12 settings. Martin's commitment to integrating digital practices into education has also been recognized, as he collaborates with peers to study the potential of mobile devices to bridge formal and informal learning in STEM disciplines. His research interests include adaptive expertise, learning cognition, and engineering education.

Research Interests

Courses

EDU 210 – Psychology School Learning EDU 211 – Sociocultural Learning Theory EDU 292 – Learning Informal Environments EDU 114 – Quantitative Methods Educational Research EDU 110 – Educational Psychology: General Overview

Requirements for University of California, Davis

Master Program
Requirements
GPA Requirement
Required:3
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:80
IELTS
Overall
Required:7
Prerequisites
Bachelor's degree in Computer Science or related field ECS 120 (Theory of Computation) ECS 122A (Algorithm Design and Analysis) ECS 140A (Programming Languages) or ECS 160 (Software Engineering) ECS 150 (Operating Systems) or ECS 154B (Computer Architecture)
Application Checklist
  • Online application
  • Application fee
  • Three letters of recommendation
  • Transcripts
  • Statement of Purpose
  • Personal History Statement
  • CV/Resume
Specialization Notes

Department of Computer Science. GRE is NOT required.