A study on the effect of Socio-economic status on the mathematics interest of student
Keywords:
outperformed, location, Socio-economic status, Mathematics achievement ·Abstract
The purpose of the research was to determine whether there was a correlation between students' gender, school district, and socioeconomic level (SES) and their performance in mathematics. The research used an uncontrolled and unmanipulated ex-post factor design. The study was based on four research questions and three hypotheses. Over a thousand and nine hundred students were selected using a stratified random selection method to ensure that all relevant factors were included. The Mathematical Objective Test (MOT) and the Socioeconomic Status Questionnaire (SESQ) were employed in this research (SESQ). Mathematicians and physicists checked the accuracy of the measuring devices. Using the test-retest approach, the MOT and SESQ have reliability coefficients of 0.71 and 0.70, respectively. It was found in the research that pupils' mathematical performance is about par for the course. “Additionally, the results showed that male students outperformed female students, urban students outperformed rural students, and kids from high-SES families outperformed those from low-SES” families. It was suggested that while instructing students in mathematics, educators should take into account differences in student achievement that occur according to gender, location, and socioeconomic status.
References
Dimora, D.E. (2012) Effect of comprehension monitoring strategy on interest and achievement of Nigeria, Nsukka.
Agway & Usman (2003) Training of undergraduate teachers in Nigeria universities: focus on problems of effective integration and attitude of
students to computers in mathematics instruction. Retrieved from http.//www.math.uocgr/jetm2/proceeding/gapw9.pdf.
Akinola, M. A. &Tela, A. (2007) Correlates of academic procrastination and mathematics achievement of university undergraduate students.
Eurasia Journal of Mathematics, Science and Technology Education, 3(4),363-370.
Alexander, L., &Marray, C. (1989) The development of an abbreviated version of the mathematics anxiety rating scale. Measurement and
Evaluation in Counselling and Development, 22, 143–150.
Ambrose, S.A, Bridges, M.W,DiPietro, M, Lovett, M.C and M.K. Norman. (2010) How Learning Works: Seven Research-Based Principles for
Smart Teaching. San Francisco, CA: Jossey-Bass.
Ashcraft, M.N. (2002) maths anxiety: personal, educationan and cognitive consequences. Directions in psychological science, 11, 181-185.
Blazer, C (2011) Strategies for reducing math anxiety. Information capsuleresearch services. Vol 1102,
Bierman, K. L. (2011) "The promise and potential of studying the "invisible hand" of teacher influence on peer relations and student outcomes: A
commentary".Journal of Applied Developmental Psychology. SI Teachers and Classroom Social Dynamics 32 (5): 297.
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