Pre-enrollment factors and academic performance of first-year science students at a Nigerian university: a multivariate analysis

1989 ◽  
Vol 18 (3) ◽  
pp. 321-339 ◽  
Author(s):  
Abimbola S. Young
2014 ◽  
Author(s):  
Nieky van Veggel ◽  
Jonathan Amory

Students embarking on a bioscience degree course, such as Animal Science, often do not have sufficient experience in mathematics. However, mathematics form an essential and integral part of any bioscience degree and are essential to enhance employability. This paper presents the findings of a project looking at the effect of mathematics tutorials on a cohort of first year animal science and management students. The results of a questionnaire, focus group discussions and academic performance analysis indicate that small group tutorials enhance students’ confidence in maths and improve students’ academic performance. Furthermore, student feedback on the tutorial programme provides a deeper insight into student experiences and the value students assign to the tutorials.


2014 ◽  
Author(s):  
Nieky van Veggel ◽  
Jonathan Amory

Students embarking on a bioscience degree course, such as Animal Science, often do not have sufficient experience in mathematics. However, mathematics form an essential and integral part of any bioscience degree and are essential to enhance employability. This paper presents the findings of a project looking at the effect of mathematics tutorials on a cohort of first year animal science and management students. The results of a questionnaire, focus group discussions and academic performance analysis indicate that small group tutorials enhance students’ confidence in maths and improve students’ academic performance. Furthermore, student feedback on the tutorial programme provides a deeper insight into student experiences and the value students assign to the tutorials.


2013 ◽  
Vol 33 (7) ◽  
pp. 729-733 ◽  
Author(s):  
Yenna Salamonson ◽  
Roslyn Weaver ◽  
Sungwon Chang ◽  
Jane Koch ◽  
Ragbir Bhathal ◽  
...  

2019 ◽  
Author(s):  
Andrew Mwila

BACKGROUND The Copperbelt University is the second public University in Zambia. The School of Medicine has four major programs namely; Bachelor of Medicine and Surgery, Bachelor of Dental Surgery, Bachelor of Clinical Medicine and Bachelor of Biomedical sciences. The Copperbelt University School of Medicine runs a five-year training program for both the BDS and the MBCHB programs. Students are admitted into the Medical school after successfully completing their first year at the Main campus in the School of Natural Sciences with an average of 4 B grades or higher (B grade is a mark of 65 to 74%). OBJECTIVE The study was done to determine the association between admission criteria and academic performance among preclinical students. Hence, the study compares the academic performance among preclinical students admitted into the Bachelor of Dental Surgery and Bachelor of Medicine and Surgery at the Copperbelt University School of Medicine. METHODS This is a retrospective cohort study conducted at Michael Chilufya Sata School of medicine Campus. A pilot study was conducted with 30 BDS and 30 MBCHB students and the obtained information helped determine the sample size. SPSS was used to analyze the data. The study period lasted approximately 7 weeks at a cost of K1621. RESULTS In 2014, there was an improvement in average performance between 2nd and 3rd year for each program. An average score of 15.4 (SD 4.2) was obtained in 3rd year compared to 12.8 (SD 4.9) in 2nd year (p<0.001). Meanwhile, 3rd MB ChB mean score was 12.6 (SD 3.7) compared to 10.7 (SD 3.6) in 2nd years (p<0.05). However, in 2016, both programs, 3rd year mean scores were lower than 2nd year (MB ChB 2nd year mean score was 12.0 (SD 4.3) compared to 3rd year with a mean score of 9.5 (SD 4.5), p<0.001; BDS 2nd year mean score was 10.6 (SD 4.0) compared to 3rd year mean score of 8.2 (SD 3.4), p<0.01. On average MB ChB students performed better than BDS students in all the years (p<0.05), except in 2016 when the results were comparable. CONCLUSIONS Results from the study shows that entry criteria has a correlation to academic performance as students admitted with higher grades perform much better than those with lower grades.


Curationis ◽  
2017 ◽  
Vol 40 (1) ◽  
Author(s):  
Katlego D.T. Mthimunye ◽  
Felicity M. Daniels

Background: The demand for highly qualified and skilled nurses is increasing in South Africa as well as around the world. Having a background in science can create a significant advantage for students wishing to enrol for an undergraduate nursing qualification because nursing as profession is grounded in scientific evidence.Aim: The aim of this study was to investigate the predictive validity of grade 12 mathematics and science on the academic performance of first year student nurses in science modules.Method: A quantitative research method using a cross-sectional predictive design was employed in this study. The participants included first year Bachelor of Nursing students enrolled at a university in the Western Cape, South Africa. Descriptive and inferential statistics were performed to analyse the data by using the IBM Statistical Package for Social Sciences versions 24. Descriptive analysis of all variables was performed as well as the Spearman’s rank correlation test to describe the relationship among the study variables. Standard multiple linear regressions analysis was performed to determine the predictive validity of grade 12 mathematics and science on the academic performance of first year student nurses in science modules.Results: The results of this study showed that grade 12 physical science is not a significant predictor (p > 0.062) of performance in first year science modules. The multiple linear regression revealed that grade 12 mathematics and life science grades explained 37.1% to 38.1% (R2 = 0.381 and adj R2 = 0.371) of the variation in the first year science grade distributions.Conclusion: Based on the results of the study it is evident that performance in grade 12 mathematics (β = 2.997) and life science (β = 3.175) subjects is a significant predictor (p < 0.001) of the performance in first year science modules for student nurses at the university identified for this study.


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