Relationship between Performance of Quantity Surveying Students in Building Construction and Construction Measurement Courses
Keywords:Academic Performance, Education, Quantity Surveying, Building Construction.
AbstractStakeholders in the educational sector over the century have devoted substantial resources in seeking ways of improving students’ academic performance, yet, the desired improved academic performance has not been achieved. By appraising the relationship between the performance of Quantity Surveying (QS) students in Building Construction and Construction Measurement courses; the study identified a major curriculum drafting deficiency in the QS programmes in Nigeria which if addressed could help achieve the much needed improved students’ academic performance. The specific objectives of the study were to determine the performance of QS students in Building construction and construction Measurement Courses; and to determine whether a relationship exist in the performances of QS students in the two subject areas. Purposive sampling technique was used to select Federal Polytechnic Ede, Osun State for the study. Random sampling technique was used to select 241 students who provide data for the study. Close ended questionnaire was used to collect data for the study and data was analyzed using frequency, percentile and correlation analysis. Finding indicates that 43% of the respondents on the average put up good performances in Building Construction Courses while only 19% of the respondents on the average had good grades in Construction Measurement Courses. Results also showed that a significant relationship exist between the performance of QS students in Building Construction and Construction Measurement courses as 83.3% (five out of six) pair courses shows significant positive linear correlation. The study recommends that a quick curriculum re-adjustment should be initiated so as to enhance improved academic performance by QS Students especially in Construction Measurement courses.
Adediwura, A. A. And Tayo, T. (2007). Perceptions of teacher knowledge, attitude and teaching skills as predictor of academic performance in Nigerian secondary schools. Educational Research and Review, 2(7), 165-171.
Adeyemi, B. (2010). Teacher related factors as correlates of pupils’ achievement in social studies in South West Nigeria. Electronic Journal of Research in Educational Psychology, 8(1), 313-332.
Ado, S.T.(2015). Influence of learning environment on students’ academic achievement in Mathematics: A case study of some selected secondary schools in Yobe State – Nigeria. Journal of Education and Practice, 6(34), 40-44.
Ali, S., Haider, Z., Munir, F., Khan, H. and Ahmed, A. (2013). Factors Contributing to the Students’ Academic Performance: A Case Study of Islamia University Sub-Campus. American. Journal of Educational Research, 1(8), 283-289.
Basque, J. and Dare, S. W (1998). Environment and apparatuship Information. Journal of Distance Education, 13(1), 626- 638.
Borde, S.F. (1998). Predictors of student academic performance in the introductory marketing course. Journal of Education for Business, 73(5), 302-307.
Bratti, M. and Staffolani, S. (2002). ‘Student Time Allocation and Educational Production Functions’, University of Ancona Department of Economics Working Paper No. 170.
Considine, G. and Zappala, G. (2002). Influence of social and economic disadvantage in the academic performance of school students in Australia. Journal of Sociology, 38, 129-148.
Diaz, A.L. (2003). Personal, family, and academic factors affecting low achievement in secondary schools. Electronic Journal of Research in Educational Psychology and Psychopaedagogy, 1(1), 43 – 66
Dumais, S.A., and A. Ward. (2010). Cultural capital and first-generation college success. Poetics 38,245–65.
Durden, G.C., and Ellis, L.V. (1995). The effects of attendance on student learning in principles of economics. American Economic Review, 85(2), 343-346.
Elliott, R. and Strenta, A.C. (1988). Effects of improving the reliability of the GPA on prediction generally and on comparative predictions for gender and race particularly. Journal of Educational Measurement, 25, 333-347.
Fabunmi, M., Brai-Abu P. and Adeniji, I.A.(2007). Class factors as determinants of Secondary School Student’s academic performance in Oyo State, Nigeria. Journal of Social Sciences, 14(3), 243-247.
Fraser, W. and Killen, R. (2005). The perceptions of students and lecturers of factors influencing academic performance at two South African universities. Perspectives in Education, 23, 25-40.
Fraser, W. and Nieman, M. (1995). The knowledge accessing modes, performance determinants and instructional practices of first-years students at eight major distance education institutions in South Africa (Research Report). Department of Didactics, Faculty of Education, University of South Africa. Pretoria: University of South Africa.
Frenzel, A.C., Pekrun, R., and Goetz, T., (2007). Perceived learning environment and students’ emotional experiences: A multilevel analysis of Mathematics classrooms. Learning and Instruction 17 (2007):478-493 www.elsevier.com/locate/learninstruc.
Graetz, B. (1995). Socio-economic status in education research and policy in John Ainley et al., Socio-economic Status and School Education DEET/ACER Canberra.
Haist, S.A., Wilson, J.F., Elam, C.L., Blue, A.V. and Fosson, S. E. (2000). The effect of gender and age on medical school performance: An important interaction. Advances in Health Sciences Education, 5(3), 197-205.
Henebry, K. (1997). The impact of class schedule on student performance in a financial management course. Journal of Education for Business, 73(2), 114-121.
Igberadja, S.(2016). Effects of teachers’ gender and qualification on students’ performance in vocational technical education. Journal of Technical Education and Training, 8(1), 34- 42.
Kuncel, N.R., Crede, M., and Thomas, L.L. (2005). The validity of self-reported grade point averages, class ranks, and test scores: A meta-analysis and review of the literature. Review of Educational Research, 75, 63-82.
Malefo, V. (2000). Psycho-social factors and academic performance among African women students at a predominantly white university in South Africa. South African Journal of Psychology, 30, 40-45.
McKenzie, K., and Schweitzer, R. (2001). Who succeeds at university? Factors predicting academic performance in first year Australian university students. Higher Education Research and Development, 20, 21-33.
Meltzer, L., Katzir-Cohen, T., Miller, L. and Roditi, B. (2001). The impact of effort and strategy use on academic performance: student and teacher perceptions. Learning Disability Quarterly. 24, 85-100.
Nakanishi, D.T., and Nishida, T. Y. (Eds.) (1995). The Asian American educational experience. London: Routledge.
Ngoboka, P. and Schultz, B. (2002). The effects of class size on student academic performance in a principles of microeconomics course. Proceedings of the Midwest Business Economics Association, 198- 207.
Ojo, G.K. and Adeyinka, F.B. (2011). Female in Quantity Surveying profession in Nigeria: a critical review In: Afon, A. O. and Aina, O.O.(Eds.), Issues in the Built Environment of Nigeria. Ile-Ife: Obafemi Awolowo University Press, Ch.15, 274-287.
Owolabi, O.T. and Adebayo, J.O. (2012). Effect of teacher’s qualification on the performance of senior secondary school physics students: implication on technology in Nigeria. English Language Teaching, 5(6), 72-77.
Sansgiry, S.S., Bhosle, M., and Sail, K. (2006). Factors that affect academic performance among pharmacy students. American Journal of Pharmaceutical Education, 70, 104-116.
Sirin, S.R. (2005). Socioeconomic status and academic achievement: A meta-analytic review of research. Review of Educational Research, 75(3), 417 – 453.
Thatcher, A., Fridjhon, P. and Cockcroft, K. (2007). The relationship between lecture attendance and academic performance in an undergraduate psychology class. South African Journal of Psychology, 37, 656-660.
Woodfield, R. and Earl-Novell, S. (2006). An assessment of the extent to which subject variation in relation to the award of first class degree between the arts and sciences can explain the ‘gender gap’. British Journal of Sociology of Education, 27(3), 355 – 372.
Yala, P. O. and Wanjohi, W. C. (2011). Performance determinants of KCSE in mathematics in secondary schools in Nyamira Division, Kenya. Asian Social Science, 7(20): 107-112.
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