Dr. Kevin Cokley

Professor

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Biography

Kevin Cokley is a social psychologist and the University Diversity Social Transformation Professor in the Department of Psychology at the University of Michigan. His research primarily focuses on African American psychology, particularly racial and ethnic identity development and the academic motivation of African American students. Cokley's work challenges the stereotypes of African American students as anti-intellectual and seeks to advance the understanding of the psychological and environmental factors that enhance or hinder their academic achievements. Recent explorations in his research include the impostor phenomenon and its relationship with mental health outcomes for minoritized students. Furthermore, his scholarship addresses pressing educational issues, particularly the underachievement of African American students, with an emphasis on the cultural and racial factors influencing their experiences. Cokley has published extensively in reputable journals and has authored books that confront anti-Black racism and advocate for social justice in psychology. He teaches courses that examine the psychology of the Black experience and actively participates in initiatives aimed at increasing diversity within the academic landscape of psychology.

Research Interests

Courses

AAS 391-001 Psychology of the Black Experience PSYCH 390-002 Topics in Personality and Social Contexts

Requirements for University of Michigan

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Total
Required:84
GRE General
Verbal
Required:155
Verbal Percentile
Required:50
Quantitative
Required:168
Quantitative Percentile
Required:50
Analytical Writing
Required:3.6
Writing Percentile
Required:50
Prerequisites
Bachelor degree in engineering, physics, or mathematics Calculus Physics
Application Checklist
  • Rackham Graduate School Application
  • Official Transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Personal Statement
  • CV/Resume
Specialization Notes

Department of Electrical Engineering and Computer Science