Determinants of Students’ Academic Achievement and Attitude in Mathematics Subject: A Case Study at Gindeberet Preparatory School
Students' academic problem in the achievement of Mathematics education dominates persistently in Gindeberet preparatory school. The insight into the study arose from annual report of school and the researcher's teaching experience. Therefore, the purpose of this study was to identify factors that influence student’s achievement towards Mathematics and examine students' attitude towards Mathematics in preparatory school at Gindeberet Woreda. In this study, target population was 1029 (male= 529 and female=500) of grade 11 students. Simple random sampling technique was used to select the representative from the entire population. Thus, among the total sample (154), 87 were male and 67 were female. Eleven (11) Mathematics teachers were also selected availably. Authors used two data collection instruments; Attitude towards Mathematics Inventory developed by Tapia and Marsh (2004) and questionnaires were employed. Descriptive and inferential statistics were applied for data analysis. The result of this study revealed that, teachers are less committed in teaching methods and strategies that they have used in their lesson were determinants of students' achievement in Mathematics from teachers side and also the students' achievement were determine by parents income, mother educational level, parental involvement, classmate encouragement, time the spent on mathematics task were main statistical significant determinants of students achievement in Mathematics and attitude of students towards Mathematics was neutral in this study. Based on this findings and conclusion valuable recommendations were formed. Thus, based on students attitude towards Mathematics and on others determinants of students achievements in Mathematics; teachers, parents, school administrators, supervisors, communities and other stakeholders should have discussed and work together to improve students success in mathematics cooperatively.
Giragn Lemu Beyen,
Determinants of Students’ Academic Achievement and Attitude in Mathematics Subject: A Case Study at Gindeberet Preparatory School, Education Journal.
Vol. 8, No. 4,
2019, pp. 144-154.
Wilkins, J. L., & Ma, X. (2002). Predicting student growth in mathematical content knowledge. The Journal of Educational Research, 95, 288-298.
Young, D. J., Reynolds, A. J., & Walberg, H. J. (1996). Science achievement and educational productivity: A hierarchical linear model. The Journal of Educational Research, 89, 272-278.
Ma, X., & Klinger, D. A. (2000). Hierarchical Linear Modeling of Student and School Effects on Academic Achievement. Canadian Journal of Education, 25, 41-55.
Muller, P. A., Stage, F. K., & Kinzie, J. (2001). Science achievement growth trajectories: Understanding factors related to gender and racial-ethnic differences in precollege science achievement. American Education Research Journal. 38, 981-1012.
Cresswell, J. W. (2012). Educational research: Planning, conducting and evaluating quantitative & qualitative research (4th ed). University of Nebraska- Lincoln.
O’Leary Z, (2004), The essential guide to doing research, sage publications Ltd Cromwell Press, London.
Lodico, G. M., Spaucding, T. D., and Voegtle, H. K. (2010). Methods in Educational Research: From theory to practice. (2nd edition). USA, published by Jossey Bass.
Devils R. F. (2006) Classical test theory.
Kaahwa J 2012. The experience of Ugandan females in Mathematics. Science Journal of Psychology, 2012, Article ID sjpsych-103, 12 pages. doi: 10.7237/sjpsych/103.
Namusisi S (2010). Socio-cultural school based determinants of girl child education: A case of language in universal primary education in Uganda. PhD dissertation. Austria: University of Innsbruck.
Karimi, A., & Venkatesan, S. (2009). Mathematics anxiety, mathematics performance and academic hardiness in high school students. International Journal of Educational Sciences, 1 (1), 33-37.
Nordin, M. S. et al, (2011). The influence of age and gender on the students' achievement in mathematics; 2011 International Conference on social series and Humanity IPEDR VI 5 (2011) pp 306-307.
Adeyemo, D. A. (2005). Parental Involvement Interest in Schooling and School Environment as predictors of Academic Self-efficacy among fresh Secondary School Student in Oyo State, Nigeria. Electronic Journal of Research in Educational Psychology, 5-3 (1) 163- 180.
Oloo, M. A. (2003). Gender Disparity in Student Performance in day Secondary Schools, Unpublished Master of Education Thesis, Maseno University, Migori, Kenya. 141pp.
Ogoye, H. (2007). Parental participation in pupils' homework in Kenya: In search of an inclusive policy. Nairobi: Act press.
David. M. N (2014), Determinants of poor academic performance of secondary school students in sumbawanga district, Tanzania in rural development of Sokoine university of agriculture. morogoro, Tanzania.
Tota U. S, Ababa, A. and abdullahi. M. S. (2014). the causes of poor performance in mathematics among secondary school.
Zenebe L. (2015) Factors that Affect Students’ Academic Achievement in Government Secondary Schools of Asella Town, Oromia National Regional State. in Educational leadership at Haramaya University.
Airfred, p. (2015). Strategies for motivating students in mathematics. Mathematics education at Mercy college, Newyork.
Douglass, A. G. & Kristi’s, J. G. (2000). Improving student’s achievement in mathematics. Brussels: LAE.
Tadiwos Mamo (2015), The attitude and achievement of lower achiever students in the mathematics and mathematics tutorial program; the case of grade 9th students at atse naod school. Addis Ababa University College of Education and Behavioral Studies.
Monere. 2000. Walters Editor, Encyclopedia of educational Research. New York: macmillan company.
Krueger, A. & Whitmore, D. 2006. Would smaller classes help close the black-white achievement gap? In J. Chubb and T. Loveless, Eds.
Okyere M. and Kuranchie, A (2013) Student attitude towards Mathematics and performance: Does the teacher attitude matter? Faculty of Education, Catholic University College of Education, Fiapre-Sunyani Email of the correspondent author: email@example.com.
Majeed A. (2013). A Confirmatory Factor Analysis of Attitudes Toward Mathematics Inventory (ATMI). I Gusti Ngurah Darmawan Peggy Lynch The University of Adelaide, Australia.
Henderson, A. T., & Mapp, K. L. 2002. A new wave of evidence: The impact of school, family, and community connections on student achievement. Annual synthesis.
Tapia, M., & Marsh, G. E., II. (2004). An instrument to measure mathematics attitudes. Academic Exchange Quarterly, 8 (2), 16-21.
Middleton, A. J & Spanians, A. P. (1999). Motivations for achievement in mathematics findings, Generalizations, and Criticisms of the research: Journal for research in mathematics education V 30 No 1, 65-88.
Adeleke, S. M, Binuomote & Adeyinka, S. F, (2013). Determinants of students' academic performance in financial accounting among senior secondary school level; in Oya state, Nigeria. International Journal of Business and management invention. V2 (5), 48-49.
Wekesa, W. P. (2013), An assessment of Factors Affecting Students' Performance in Secondary Schools in Kakamega Country, kenya. M sc. Thesis in education in Kenya University.
Mohamed L. & Wheed H; (2011); Secondary students’ attitude towards mathematics in a Selected School of Maldives; Institute of Education International Islamic University Malaysia, International Journal of humanities and social science vol. 1 No 15.
Veronica O. (2016) Peer Group and Parental Support as Correlates of academic Performance of Senior Secondary School Students in South West, Nigeria. European Scientific Journal edition vol. 12, No. 7 ISSN: 1857 – 7881 (Print) e - ISSN 1857- 7431.
Tope, O. (2011). The influence of peer group on adolescent’s academic performance: A case study of some selected schools in Ogun State. Nigeria: Egobooster Books.
Furlong, M. J., S. (2004). Moving Towards a Unifying Framework for Educational Research and Practice. The California School Psychologist. 8: 99-113. provinces: ASISN journal of social science and humanities. V2 (1), pp 174-180.
Miqdadi et. al (2014) The Relationship between Time Management and the Academic Performance of Students from the Petroleum Institute in Abu Dhabi, the UAE. ASEE 2014 Zone I Conference, April 3-5, 2014, University of Bridgeport, Bridgpeort, CT, USA.
Rothstein, R. (2004). Class and schools: Using social, economic, and educational reform to close the black-white achievement gap. Washington, DC: Economic Policy Institute.
Sentamu, N. P. (2003). School’s influence of learning: A case of upper primary schools in Kampala & Wakiso Districts. Uganda Education Journal, 4, 25-41.
Cooper, H. 1994. Homework research and policy: A review of literature. Research/Practice, 2, 2. Retrieved December 8, 2007, from http://education.umn.edu/CAREI/Reports/ Practice/ Summer94/default.html.
Brahier, D. 2000. Teaching secondary and middle school mathematics. Boston: Allyn.
Considine, G. & Zappala, G. (2002). Influence of social and economic disadvantage in the academic performance of school students in Australia. Journal of Sociology, (38) 129-148.