Causal linkage of subjects to promote science academic performance for the skills-gap

Authors

  • David Dan Mayanja Makerere University

Keywords:

causal linkage, academic performance, skill-gap, science

Abstract

Purpose: A critical question addressed in this paper concernsthe casual linkage of Ordinary-Level subjects to promote science academic performance. We develop a structural equation model to determine the contribution of vocational, social science and language subjects to students' grades in mathematics and subsequently science subjects.

Methodology: The paper uses secondary data from the Uganda National Examinations Board (UNEB) for the year 2014.

Findings: The results of structural equation modeling demonstrate that grades obtained in social science and vocational subjects negatively contribute to the grades obtained in mathematics and this effect was significant at 1 and 5 percent level respectively. In contrast, thepath for the latent variable Language show that high academic achievement in Language subjects is positively and significantly (p<.01) related with performance in mathematics. It was also established that grades obtained in mathematics positively significantly (p<.01) impact on the grades obtained in Science related subjects.

Policy Recommendation: We recommend that students wishing to specialize in science related disciplines must be informed about the core subjects that enhance their likelihood of understanding science. Going by the findings, teachers should always emphasize the importance of language in developing students' competency in mathematics which also significantly impacts academic achievement in science.

Downloads

Download data is not yet available.

Author Biography

David Dan Mayanja, Makerere University

PhD Student, College of Business and Management Sciences

References

Alexander C. McCormick, J.T and Houser, J.D. (1995) Vocational Course Taking and Achievement: An Analysis of High School Transcripts and 1990 NAEP Assessment Scores.

Bailly, F. and Longo, G (2011). Mathematics and the Natural Sciences: The Physical Singularity of Life. World Scientific. p. 149. ISBN 978-1-84816-693-6.

Denny, R. (1971). The mathematics skill test (MAST) for chemistry. Journal of Chemical Education. 48, 845-846.

Hu, L, &Bentler, PM. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55.

Jamaldini, M. Baranzehi, H. Farajpour, N. S. and Abdolvahab, S. (2015) The Causal Relationship of Self-efficacy, Self-concept and Attitude towards Mathematics with Academic Achievement in Mathematics by Mediation of Approaches to Learning. Int. J. Rev. Life. Sci., 5(2), 2015, 41-45

Jenkins, E. W., & Nelson, N. W. (2005). Important but not for me: students' attitudes towards secondary school science in England. Research in Science & Technological Education, 23(1), 41-57.

Karen, H. and Lenora, O The Correlation Between Mathematical Skills and Success in Chemistry

Karsai, I and Kampis,G (2010) The Crossroads between Biology and Mathematics: The Scientific Method as the Basics of Scientific Literacy BioScience (2010) 60 (8): 632-638. doi: 10.1525/bio.2010.60.8.9 http://bioscience.oxfordjournals.org/content/60/8/632.full

Kauffman (1993). The Origins of Order: Self-organization and Selection in Evolution. Oxford University Press.

Malkevitch, J. (2014) Mathematics and Chemistry: Partners in Understanding Our World. http://www.ams.org/samplings/feature-column/fc-2015-04

Maria de L.M., Vera, M. and Francisco, P (2012) Attitudes towards Mathematics: Effects of Individual, Motivational, and Social Support Factors. Child Development Research Volume 2012 (2012), Article ID 876028 http://dx.doi.org/10.1155/2012/876028

Mazer, A (2011). The Ellipse: A Historical and Mathematical Journey. John Wiley & Sons. p. 5. ISBN 978-1-118-21143-4.

Minkee, K and Jinwoong, S (2010) A Confirmatory Structural Equation Model of Achievement Estimated by Dichotomous Attitudes, Interest, and Conceptual Understanding

Mupanduki B.T. (2009) The Effectiveness of a Standards-Based Integrated Chemistry and Mathematics Curriculum on Improving the Academic Achievement in Chemistry for High School Students in Southern California

National Curriculum Development Centre (2016). O-levelcurriculum.http://www.ncdc.go.ug/index

Newton, R.G. (1997). The Truth of Science: Physical Theories and Reality. Harvard University Press. pp. 125-126. ISBN 978-0-674-91092-8.

Nikitina, S. and Mansilla, V.B (2003) Three Strategies for Interdisciplinary Math and Science Teaching: A Case of the Illinois Mathematics and Science Academy

Oksana, B. Alves, C.B. &Bahry, L.M. (2012) Using Structural Equation Modeling to Investigate Students' Career Awareness in Science. Canadian Journal for New Scholars in Education/ Volume 4, Issue 1

Sanjay, M.W. and Dilip, A.D. (2012). Essentials of Physics. PHI Learning Pvt. Ltd. p. 3. ISBN 978-81-203-4642-0.

Shawn M. Glynn,1 Gita Taasoobshirazi,1 Peggy Brickman (2006) Nonscience Majors Learning Science: A Theoretical Model of Motivation Journal of research in science teaching VOL. 44, NO. 8, PP. 1088-1107 (2007) DOI 10.1002/tea.20181

Singh, K. Granville, M. and Dika, S. (2002). Mathematics and science achievement: effects of motivation, interest, and academic engagement. Journal of Educational Research, vol. 95, no. 6, pp. 323-332, 2002.

Sloan, D.W. (2008). Integrating the Humanities and Sciences: A campus-wide program at Binghamton University that addresses a general problem in higher education

Tinkamanyire, D. (2010). New science policy unfair. New Vision 2010, 13th April.

Uganda, R. o. (1992). The government white paper on education. Kampala: Ministry of Education and Sports.

Uhden, O. Karam, R. Pietrocola, M. and Pospiech, G (2011). Modelling Mathematical Reasoning in Physics Education". Science & Education. 21 (4): 485-506. doi:10.1007/s11191-011-9396-6.

UNESCO Social and Human Sciences. (2009). Role of education. Retrieved from http://www.unesco.org/new/en/social-and-human-sciences/themes/human-rights/fight-against-discrimination/role-of-education/

Wheelahan, L; Buchanan, J and Serena, Y. (2015). Linking qualifications and the labour market through capabilities and vocational streams Published by NCVER, ABN 87 007 967 311

Downloads

Published

2016-10-24

How to Cite

Mayanja, D. D. (2016). Causal linkage of subjects to promote science academic performance for the skills-gap. African Journal of Education and Practice, 1(2), 1–14. Retrieved from https://iprjb.org/journals/index.php/AJEP/article/view/139

Issue

Section

Articles