Mathematics at matriculation level as an indicator of success or failure in the 1st year of the Veterinary Nursing Diploma at the Faculty of Veterinary Science, University of Pretoria | Zendy

Alma E. Botha | Zendy; C.M.E. McCrindle | Zendy; James H. G. Owen | Zendy

Open Access

Mathematics at matriculation level as an indicator of success or failure in the 1st year of the Veterinary Nursing Diploma at the Faculty of Veterinary Science, University of Pretoria

Author(s) -

Alma E. Botha,

C.M.E. McCrindle,

James H. G. Owen

Publication year - 2003

Publication title -

journal of the south african veterinary association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.535

H-Index - 31

eISSN - 2224-9435

pISSN - 1019-9128

DOI - 10.4102/jsava.v74i4.526

Subject(s) - matriculation , medicine , significant difference , veterinary medicine , preference , medical education , mathematics education , mathematics , statistics

Mathematics at matriculation level (Grade 12) is one of the subjects required for admission to the Veterinary Nursing Diploma in the Faculty at Veterinary Science of the University of Pretoria. The present study shows that there is no statistically significant relationship between the grade of mathematics at matriculation level and the success or failure in the 1st year of study. There is, however, a statistical difference in the adjusted mark obtained for mathematics at matriculation level between the groups that passed and failed the 1st year of the veterinary nursing course. The results of this research are not consistent with other research which showed that secondary school mathematics results are not a significant factor in tertiary education. It is recommended that selection criteria for veterinary nurses should in future still include mathematics, but that cognisance should be taken of the mark obtained and students with higher marks (above 57%) given preference.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research