Evaluation of an instrument to measure undergraduate nursing student engagement in an introductory Human anatomy and physiology course

2017 ◽  
Vol 24 (5) ◽  
pp. 491-497 ◽  
Author(s):  
Stephen Brown ◽  
Alex Bowmar ◽  
Sue White ◽  
Nicola Power
2017 ◽  
Vol 41 (1) ◽  
pp. 56-61 ◽  
Author(s):  
S.J. Brown ◽  
S. White ◽  
N. Power

Using an educational data mining approach, first-year academic achievement of undergraduate nursing students, which included two compulsory courses in introductory human anatomy and physiology, was compared with achievement in a final semester course that transitioned students into the workplace. We hypothesized that students could be grouped according to their first-year academic achievement using a two-step cluster analysis method and that grades achieved in the human anatomy and physiology courses would be strong predictors of overall achievement. One cohort that graduated in 2014 ( n = 105) and one that graduated in 2015 ( n = 94) were analyzed separately, and for both cohorts, two groups were identified, these being “high achievers” (HIGH) and “low achievers” (LOW). Consistently, the anatomy and physiology courses were the strongest predictors of group assignment, such that a good grade in these was much more likely to put a student into a high-achieving group. Students in the HIGH groups also scored higher in the Transition to Nursing course when compared with students in the LOW groups. The higher predictor importance of the anatomy and physiology courses suggested that if a first-year grade-point average was calculated for students, an increased weighting should be attributed to these courses. Identifying high-achieving students based on first-year academic scores may be a useful method to predict future academic performance.


2017 ◽  
Vol 17 (1) ◽  
pp. 52-62 ◽  
Author(s):  
Stephen Brown ◽  
Sue White ◽  
Alex Bowmar ◽  
Nicola Power

Appropriate instruments are required to determine student engagement on an undergraduate course, and in this study we evaluated a 23 item Student Course Engagement Questionnaire (SCEQ) administered to undergraduate students studying a Bachelor of Sport and Recreation degree. These students were in the first semester of a 3 year degree, and were enrolled in a compulsory introductory Human anatomy and physiology course, as part of their degree. Responses (n=115) were analysed using exploratory factor analysis, and this indicated that 4 latent factors explained >49% of the total variance. These factors were described as ‘study habits’ (7 items), ‘performance’ (6 items), participation (4 items), and emotional (4 items). Two items did not align with any latent factors. Each scale had good internal consistency, with all Cronbach’s alpha values >0.7. The factors identified in this study are consistent with those identified in a previous SCEQ evaluation, and we suggest that this instrument is appropriate to quantify course engagement in Sport and Recreation degree students. Moreover, we suggest that the scales identified within the SCEQ may be used to quantify aspects of engagement in undergraduate students studying a course in introductory Human anatomy and physiology.


1995 ◽  
Vol 268 (6) ◽  
pp. S56 ◽  
Author(s):  
P H Harasym ◽  
E J Leong ◽  
G E Lucier ◽  
F L Lorscheider

Results from the Gregorc Style Delineator (GSD), administered to 260 undergraduate nursing students, were compared with achievement scores in a human anatomy and physiology course. Factor analysis and VARIMAX rotation demonstrate that there is no relationship between any of the four learning styles allegedly identified by the GSD and achievement in anatomy and physiology. Factor analysis also shows that the GSD measures only a single bipolar scale of sequential vs. random ability rather than two bipolar scales comprising four learning styles, as suggested by Gregorc. These findings question the validity of the GSD and recommend discontinuing its use as an indicator of learning styles.


HAPS Educator ◽  
2019 ◽  
Vol 23 (3) ◽  
pp. 506-515
Author(s):  
Chasity O’Malley ◽  
◽  
Julie Doll ◽  
Catherine Taylor ◽  
Marian Leal ◽  
...  

HAPS Educator ◽  
2019 ◽  
Vol 23 (1) ◽  
pp. 37-44
Author(s):  
Vicki Motz ◽  
Timothy Koneval ◽  
Jill Bennett-Toomey ◽  
Rema Suniga ◽  
Jacqueline Runestad Connour

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