Dr. Maria Ruiz Primo

Associate Professor

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Biography

Maria Araceli Ruiz-Primo is an Associate Professor at the Graduate School of Education at Stanford University. Her research primarily focuses on assessment practices and student learning within classroom settings, as well as large-scale assessment programs. She has been involved in significant work funded by both the National Science Foundation and the Institute of Education Sciences, examining the effectiveness of various assessment strategies. Her publications delve into the development and evaluation of multiple learning assessment strategies, including the use of concept maps and science notebooks. Ruiz-Primo has also researched the informal and formal formative assessment practices of teachers and has analyzed state testing programs. She has contributed to academic literature as a co-editor for special issues in top journals like the Journal of Research in Science Teaching and the Journal of Educational Measurement. Additionally, she has published in peer-reviewed journals including Science and others focusing on educational research.

Research Interests

Courses

EDUC 364 (Winter) EDUC 480 (Autumn, Winter, Spring) EDUC 180 (Autumn, Winter, Spring) EDUC 490 (Autumn, Winter, Spring) EDUC 190 (Autumn, Winter, Spring) EDUC 276 (Spring) EDUC 364 (Autumn) EDUC 142 (Autumn) EDUC 485 (Spring) EDUC 278 (Spring) EDUC 250 (Spring)

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.