Dr. Rich Shavelson

Professor

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Biography

Rich Shavelson is the Margaret Jacks Professor Emeritus at Stanford University's Graduate School of Education. His research primarily focuses on the design of assessments and assessment systems to measure college students' learning, development, and competencies, specifically in the realm of 'soft skills'. Shavelson has co-created the Collegiate Learning Assessment with Steve Klein, and he has developed statistical models for estimating the value added by CLA college-level assessments. His work has been featured in the publication 'Measuring College Student Learning: Accountability in a New Era' (2010, Stanford University Press) and in various papers discussing measurement and statistical modeling. His influence is significant in educational psychology, emphasizing accountability and policy in higher education. Shavelson has held several prominent positions, including Dean of the Graduate School of Education at UCLA and has received multiple awards for his contributions to research in education.

Research Interests

Experience

Emeritus Faculty

— Present

Stanford Graduate School of Education • Stanford, CA

Emeritus faculty member with ongoing involvement in educational research.

Dean

— Present

Graduate School of Education, University of California • Los Angeles, CA

Led the Graduate School of Education through significant curriculum and policy changes.

Professor

— Present

UCLA • Los Angeles, CA

Taught courses and conducted research in educational psychology.

Associate Professor

— Present

UCLA • Los Angeles, CA

Engaged in advanced research and teaching in education.

Assistant Professor

— Present

UCLA • Los Angeles, CA

Started his academic career focusing on educational measurement.

Awards

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Humboldt Fellowship

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AERA Review Research Award

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AERA Review Research Award

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E.F. Lindquist Award

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R.L. Linn Award

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E.L. Thorndike Award

Courses

EDUC 480 EDUC 180 EDUC 490 EDUC 190 EDUC 185 EDUC 470 EDUC 380

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.