EMERGING MYTHS AND REALITIES IN TEACHING AND LEARNING
Abstract
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.
References
Abubakar, R.B and Eze, F, B. (2009). Female students academic performance
Mathematics at Federal College of Education (Technical), Omoku, Rivers State.
International Journal of Social and Policy Issues 6(1&2), 48-53
Abubakar, R.B. and 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 and Ihiegbulem, V.N. (2010). Vision 20:2020 and Gender
equality Appraising academic performance of integrated science student. 3rd Annual
conference Journal of School of Business and Management Technology 1(2), 58-63
Abubakar, R.B and Ejimaji,.E. U. (2010). Gender differences in Academic and
enrolment gaps of college chemistry students. Int. Journal of Economics and
development Issues
Abubakar, R.B and Uboh, V. (2010). Breaking the gender barrier in enrolment
and academic achievement of Science and Mathematics students. Submitted to Akoka
Journal of Pure and applied Science Education
Accelajado, M.J. (2004). The impact of using Technology on students’
achievement, attitude and anxiety in Mathematics. Retrieved 15th June 2008
Agwagah, U.N.V and Harbour-Peters, V.F. (1994). Gender difference in
Mathematics achievement. Journal of Education and Psychology in third world Africa
(1), 19-22
Akinsola, M.J.; Tella, A and Tella, A. (2007). Correlates of Academic
Procrastination and Mathematic achievement of University undergraduate students.
Eurosia 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 39,311-318
De Paula, M,R. and Hlawaty, H. (2003). Comparative analysis of the learning
styles of Brazilian and German adolescents by age, gender and academic achievements
levels. Retrieved June 16th, 2010 from
http://www.hiceducation.org/edu.proceedings/Ruth.M.De Paula.pdf
Grassi, C. (2004). Gender based achievement, self-confidence and enrolment
gaps: Mathematics at Trinity college.
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 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 and 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; Turnbull, D. And Pretlow, L (2008). Evaluating distance learning
in Health informatics Education. Perspectives in Health information Management 5(5)
http://www.library .ahima.org/xpediogroups/public/documents/ahom........html
Teikkooi, L. And Ping, T.A (2008). Factors influencing students performance in
Wawasan open University: Does previous education level, age group and course level
matter? Retrieved 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 & academic achievement. Unpublished MSc. Dissertation
of Universty of Wisconsin-stout
http://www.uwstout.edu/static/lib/thesis/2003/2003:wittrosed.pdf
Yousefi, F.; Mansor, M.B. Juhari, R.B.; Redzuan, M, and Abu Talib, M. (2010).
The relationship between gender, age, depression and academic achievement. Current
Research in Psychology 6(1), 61-66