Literature DB >> 21247669

Predictors of academic performance of nursing and paramedic students in first year bioscience.

Douglas G Whyte1, Veronica Madigan, Eric J Drinkwater.   

Abstract

The expanding scope of practice of paramedics and nurses demands they possess a sophisticated knowledge of bioscience to enable them to think critically and make rational clinical decisions. It is well documented that nursing students struggle with bioscience but there are no studies examining the performance of paramedic students in this crucial subject. In this study, we compared the academic performance of first year nursing, paramedic and nursing/paramedic double degree students in a bioscience subject. Regression analyses were used to identify predictors of academic success. Data revealed a low success rate in bioscience for all three degree programs (63.2, 58.8, and 67.6% respectively) and a strong correlation between academic success in bioscience and non-bioscience subjects (r(2)=0.49). The best predictors of overall academic success were the University Admission Index score and mature entry into the course. Previous study of biology was associated with an increased bioscience and overall GPA but not with non-bioscience grades. Discriminant analysis was used to develop a model that could predict overall academic success with an accuracy of 78.5%. These criteria may be useful during the admission process and for the early identification of students at risk of failure. Copyright Â
© 2010 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2011        PMID: 21247669     DOI: 10.1016/j.nedt.2010.12.021

Source DB:  PubMed          Journal:  Nurse Educ Today        ISSN: 0260-6917            Impact factor:   3.442


  3 in total

1.  The use of team-based, guided inquiry learning to overcome educational disadvantages in learning human physiology: a structural equation model.

Authors:  Joseph A Rathner; Graeme Byrne
Journal:  Adv Physiol Educ       Date:  2014-09       Impact factor: 2.288

2.  A team approach to delivery of contextually relevant bioscience: encouraging student connections between tacit knowledge and new content acquisition.

Authors:  Mikaela Reynolds; Cristina Bowers; Holly Peters; Mathilde Klein; Zane Clayton; David Hagger; Ben McGarry; Elise Pelzer
Journal:  BMC Med Educ       Date:  2022-06-17       Impact factor: 3.263

3.  Frequency and predictors of courses repetition, probation, and delayed graduation in kashan faculty of nursing and midwifery.

Authors:  Zahra Tagharrobi; Negin Masoudi Alavi; Esmail Fakharian; Fakhrossadat Mirhoseini; Sayyed Asghar Rasoulinejad; Hossein Akbari; Hossein Ameli
Journal:  Nurs Midwifery Stud       Date:  2013-12-10
  3 in total

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