Science Teaching and Learning: Qualitative and Functional Chemistry Education, does Gender and Age Affect Academic Achievement
Abstract views: 218 / PDF downloads: 94
DOI:
https://doi.org/10.51724/ijpce.v4iSI.107Keywords:
Science Teaching, Science Learning, Academic Achievement, Gender, Chemistry EducationAbstract
One of the key points in Late President Yar’adua’s 7- point agenda is the accomplishment of qualitative and functional Education. This can be monitored through assessing academic achievement of students. Chemistry Education occupies a central position to all disciplines. This study examined the correlates between age and gender on academic achievement (CGPA) of Chemistry students. The study used thirty six (36) females and forty (40) males giving a total of sample seventy eight (76). Scatter – plot, mean and standard deviation were used for the descriptive statistics while univariate analysis of variance (ANOVA) and multiple regression were used for inferential statistics. T-test was used to test the null hypothesis formulated (P<0.05). Result revealed a linear relationship between, age-CGPA and gender-CGPA.A low positive correlation coefficients was obtained for ages and gender (r=0.006 and 0.105) which were not significant. The predictor variables jointly accounted for 1.1% of the variance, age was the better predictor. The null hypothesis tested was accepted implying no significant difference in academic achievements of students. It was suggested that some more variables be included so as to determine significant correlation of students’ academic achievement of Chemistry students.
Downloads
References
Abubakar, R.B & Eze, F.B. (2009). Female students academic performance mathematics at Federal College of Education (Technical), Omoku, Rivers State. International Journal of Social and Policy, 6(1&2), 48-53.
Abubakar, R.B. & Alao, A.A. (2010). Gender and academic performance of college physics students: A case study of department of physics/computer science education Federal College of Education (Technical) Omoku, Nigeria. Journal of Research in Education and Society: International Perspectives, 1(1), 129-137.
Abubakar, R.B & Ihiegbulem, V.N. (2010). Vision 20:2020 and gender equality appraising academic performance of integrated science student. Journal of School of Business and Management Technology, 1(2), 58-63.
Abubakar, R.B & Ejimaji, E.U. (2010). Gender differences in academic and enrolment gaps of college chemistry students. International Journal of Economics and development Issues, 2, 38.
Abubakar, R.B & Uboh, V. (2010). Breaking the gender barrier in enrolment and academic achievement of Science and Mathematics students. Akoka Journal of Pure and Applied Science Education, 10(1), 203-213.
Accelajado, M.J. (2004). The impact of using Technology on students’ achievement, attitude and anxiety in Mathematics. Retrieved date: 15th June 2008 from http://www.icmeorganisers.dk/tsg15/Acelajado.pdf
Agwagah, U.N.V & Harbour-Peters, V.F. (1994). Gender difference in Mathematics achievement. Journal of Education and Psychology in Third World Africa, 1(1), 19-22.
Akinsola, M.K., Tella, A. & Tella, A. (2007). Correlates of academic procrastination and mathematic achievement of university undergraduate students. Eurasia Journal of Mathematics, Science and Technical Education, 3(4), 363-370.
Busch, T. (1995). Gender differences in self-efficacy and academic performance among students of business administration. Scandinavian Journal of Education Research, 39(4), 311-318.
De Paula, MR. & Hlawaty, H. (2003). Comparative analysis of the learning styles of Brazilian and German adolescents by age, gender and academic achievements levels. Retrieved date: June 16th, 2010 from http://www.hiceducation.org/edu_proceedings/Ruth%20M.%20De%20Paula.pdf
Grassi, C. (2004). Gender based achievement, self-confidence and enrolment gaps: Mathematics at Trinity College. Retrieved date: February 11th, 2010 http://www.trincoll.edu/depts/educ/Research/Grassi.pdf
Hlawaty, H. (2009). “Lerne” and learning styles: A comparative analysis of the learning styles of German adolescents by age, gender and academic achievements level. European Education, 40(4), 23-45.
Ochiama, C. (2008). Yar’adua’s 7-point agenda: A performance assessment. Retrieved date: March 22nd, 2008 from http://www.naijainfo.blogspot.com/2008/02/va
Olayemi, O.O. (2009). Students’ correlates and achievement as predictors of performance in physical chemistry. ABACUS: The Journal of Mathematics Association of Nigerian, 34(1), 99-105.
Owolabi, J. & Etuk-Irien, O.A. (2009). Gender, course of study and continuous assessment as determinants of students’ performance in Pre-NCE Mathematics: ABACUS: The Journal of Mathematical Association of Nigerian 34(1), 106-111.
Russell, B.L, Barefield, A.C., Turnbull, D., Leibach, E. & Pretlow, L. (2008). Evaluating distance learning in health informatics education. Perspectives in Health information Management, 5(5), 1-12.
Teikkooi, L. & Ping, T.A. (2008). Factors influencing students performance in Wawasan Open University: Does previous education level, age group and course level matter? Retrieved date: February 11th, 2010 from http://www.open.ed.scn/elt/23/2.html
Witt-Rose, D.L. (2003). Students self-efficacy in College Science: An investigation of gender, age and academic achievement. Unpublished Master of Science Dissertation of University of Wisconsin-Stout.
Yousefi, F., Mansor, M.B., Juhari, R.B., Redzuan, M. & Abu Talib, M. (2010). The relationship between gender, age, depression and academic achievement. Current Research in Psychology, 6(1), 61-66.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2012 Eurasian Journal of Physics & Chemistry Education
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright © Authors