Measuring Student Character: Modernizing Predictors of Academic Success

Author(s):  
Nathan Kuncel ◽  
Khue Tran ◽  
Shu Han (Charlene) Zhang
2007 ◽  
Author(s):  
Eric J. Cooley ◽  
Tamina Toray ◽  
Lauren Roscoe ◽  
Morgan Hutmacher ◽  
Amanda Miles

2002 ◽  
Vol 10 (2) ◽  
pp. 1-14 ◽  
Author(s):  
Arjun P. Dutta ◽  
Anthony K. Wutoh ◽  
Celia Williams ◽  
Joseph R. Ofosu

2019 ◽  
pp. 1-7
Author(s):  
Kathleen F. Tate

The population of the U.S. is aging, and the prevalence of chronic diseases is increasing. By 2030 the elderly population of the United States will be twice that of the current senior population, and the national demand for Registered Nurses (RNs) is expected to grow by approximately 21%. Nurses make up the single largest health profession in the United States. The nursing workforce is also aging. The average age of a registered nurse is 48.8 years old. Fifty percent of RNs are age 50 or older, and 12.4% are age 65 or older [1]. The problem is clear; unless more registered nurses enter the field, a critical nursing shortage will exist. The most distressing factor related to the predicted nursing shortage is the number of students who choose a career in nursing, enroll in a program, and fail to graduate, or graduate and fail to pass the NCLEX-RN on the first attempt. The purpose of this study was to determine whether there is a predictive relationship between academic success in baccalaureate nursing students and essential academic skills of reading, English, math, and science. Using a retrospective, correlational study design, the research revealed that there are indeed predictors of academic success.


Author(s):  
Yulia A. Ishmuratova ◽  
Anna M. Potanina ◽  
Igor Yu. Tsyganov ◽  
Varvara I. Morosanova

2016 ◽  
Vol 24 (4) ◽  
pp. 586-600 ◽  
Author(s):  
Elizabeth J. Vella ◽  
Elizabeth F. Turesky ◽  
Jenni Hebert

Purpose The purpose of this paper is to use a heutagogical approach to determine whether students enrolled in blended courses achieve higher grades relative to those enrolled in completely online courses, in addition to identifying demographic predictors of academic success in college courses involving Web-based modes of instruction. Design/methodology/approach Mixed models regression evaluated predictors of grade in terms of age, gender, instruction mode, graduate vs undergraduate status and full-time vs part-time load across 2,174 students (M = 27.6, SD = 9.54 years) enrolled in Web-based courses for a single term at a mid-sized public university in the northeastern USA. Findings In accordance with expectations, a significant main effect indicated higher grades among students enrolled in blended relative to completely online courses. Other predictors of academic success in Web-based courses included older age, female gender, graduate student status and part-time academic load. An interaction between age and gender on grade indicated the difference in performance between men and women diminished among older compared to younger students. Another interaction between age and instruction mode on successful course completion indicated a higher probability of success in blended courses among older students relative to their younger counterparts. Research limitations/implications This study is limited by its cross-sectional design of large scope, which is incapable of addressing differences in online instructional styles and student motivation factors. Originality/value The current study offers newfound evidence that students enrolled in Web-based college courses may benefit from a blended instructional format, a finding that may be particularly evident among older students.


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