Dr. Cynthia Fenske

Associate Professor

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Biography

Dr. Fenske’s professional academic career focuses on advancing science in nursing education and the development of innovative educational strategies and techniques. Her research area includes simulation and its impact on clinical judgment, emphasizing the evaluation of pre- and post-licensure nurses. She investigates the perception of performance versus actual performance in students and practicing nurses. Among her contributions, Dr. Fenske has developed educational programs to improve nursing practices related to the assessment, prevention, detection, and treatment of delirium in acute care settings. Additionally, she has created and utilized innovative teaching strategies such as problem-based learning and virtual community engagement to enhance clinical judgment skills among nursing students. Her involvement extends to the development of various simulations for undergraduate programs and to receiving education grants aimed at promoting teaching innovation and program evaluation.

Research Interests

Experience

Clinical Assistant Professor Emerita

2013-01-01 — Present

University of Michigan School of Nursing • Ann Arbor, MI

Teaching and developing nursing curricula, focusing on innovative educational strategies.

Awards

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Appointed Governor Snyder Michigan State Board Nursing

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Collegiate Lecturer Award

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Sigma Theta Tau Excellence Nursing Education Award

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Mae Edna Doyle Teacher of the Year Award

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