Using Computer-Adaptive Quizzing as a Tool for National Council Licensure Examination Success

Jill Pence1, Felecia Wood

  • 1About the Authors Jill N. Pence, EdD, RN, CNE, CHSE, is an assistant professor, Ida V. Moffett School of Nursing, Samford University College of Health Sciences, Birmingham, Alabama. Felecia G. Wood, PhD, RN, CNL, is a professor, Capstone College of Nursing, University of Alabama, Tuscaloosa. Dr. Pence is grateful to her dissertation committee members Drs. Angela Benson, Andre Denham, Marilyn Handley, Julia Phelan, and Felecia Wood for their input and guidance throughout the dissertation process For more information, contact Dr. Pence at jnpence@samford.edu.

Summary

Computer-adaptive quizzing (CAQ) significantly improved first-time National Council Licensure Examination (NCLEX) success rates. Graduates using CAQ software had a much lower failure rate on the NCLEX licensure exam.

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