Dr. Elizabeth Dyer

Assistant Professor

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Biography

Elizabeth Dyer is an Assistant Professor in the Department of Curriculum & Instruction at the University of Illinois, Urbana-Champaign. Her research focuses on education, exploring themes related to the development of research identity and the use of qualitative methods in educational research. She teaches a range of courses including Curriculum Instruction Proseminar, where she prepares doctoral students for their research careers, and Teaching Methods for Computer Science, aimed at enhancing teachers' instructional strategies in computer science education. Dyer's academic interests also cover Learning Science, examining how influential theories of learning shape teaching practices, and Computer Programming in the Classroom, where she provides practical strategies for K-12 educators to integrate programming into their curricula. Through her work, Dyer is committed to fostering an inclusive and collaborative environment that promotes equity and diversity in computer science education. She actively engages in discussions about the ethical considerations in educational research and supports the development of computational thinking in teaching practices.

Research Interests

Courses

CI 536: Curriculum Instruction Proseminar CI 538: Qualitative Analysis Video Data CI 486: Teaching Methods Computer Science CI 541: Learning Science CI 438: Computer Programming Classroom

Requirements for University of Illinois

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
TOEFL
Listening
Required:17
Reading
Required:19
Writing
Required:21
Speaking
Required:20
Total
Required:103
GRE General
Prerequisites
Mathematical background Linear Algebra Calculus
Application Checklist
  • Online application
  • Unofficial transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Resume/CV
Specialization Notes

GRE is optional for admission to all graduate programs in Statistics. Full status admission requires higher language scores than limited status.