Obasi, Chinedu Victor
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Modeling The Use of History of Mathematical Thought in Mathematics Instruction Obasi, Chinedu Victor
Malikussaleh Journal of Mathematics Learning (MJML) Vol 3, No 1 (2020): May
Publisher : Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/mjml.v3i1.2299

Abstract

Mathematics is a human creation, which has been developing for more than four thousand years. It emerged as a response to different social and economic needs of civilizations. Historical development of mathematics stresses that mathematics as a science has always been connected to economic and social context and development of society. There is little or no research that promotes using historical content in mathematics lessons in the Nigeria context. In this paper, we model the use of history of mathematical thought (HMT) in mathematics instruction and solved the formulated model equation using integrating factor. The rate at which HMT is used by teachers in mathematics instruction is assumed to be proportional to the number of teachers that do not use HMT. The analysis suggests that with time, only a fraction of teachers can use HMT in teaching mathematics due to the fact that they will not remember to use it, and additional recruitment of teachers will result in only marginal improvement in the usage of HMT.
Science Students’ Spontaneous Utilization of School Library with Logistic Growth Model: A Focus on Gender Obasi, Chinedu Victor
Malikussaleh Journal of Mathematics Learning (MJML) Vol 4, No 1 (2021): May
Publisher : Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/mjml.v4i1.2894

Abstract

In this paper the logistic growth model of spontaneous utilization of school library in Imo State, is presented. First‐order variables separable logistic equation is solved. The parameters that gave the best logistic curve for the data were determined. The number of male and female science students who utilized school library spontaneously also is presented. The logistic equation allows rigorous estimation of 2.34% growth rate of male science students’ spontaneous utilization of school library in Imo State. While that of female students is decreasing by 2.71%. The results revealed that male students are experiencing upward trend in the spontaneous utilization of school library while their female counterparts are experiencing downward trend. Therefore, it is recommended that science students should utilize the school library resources spontaneously without being induced to do so. They should also develop passion for reading because reading books pushes readers to use their imaginations and encourages creativity for scientific endeavours.
Predictive Analysis: Academic Resilience as a Determinant of Mathematics Achievement among Senior Secondary School Students in Nigeria Duru, Darlington Chibueze; Obasi, Chinedu Victor; Oguoma, Chinyere
Brillo Journal Vol 3 No 2 (2024): Ethnomathematics and Resilience in Mathematics Education Innovations
Publisher : S&Co Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56773/bj.v3i2.48

Abstract

Mathematics is considered a key foundation for scientific knowledge required for the development of any nation. Poor mathematics achievement has been reported nationally. This paper was designed to investigate academic resilience as a determinant of mathematics achievement among senior secondary school students in Owerri municipal council of Imo State. A correlational design was used for the study. The study comprised a population of 32,068 students in public secondary schools in Owerri Municipal Council of Imo State. A sample of 180 SSII students was drawn from the population, using simple random sampling. Two instruments were used for data collection in this study. They are: the Academic Resilience Scale (ARS) for secondary school students was developed by Martin and Marsh with a Cronbach reliability coefficient of 0.74, and the Mathematics Achievement Proforma (MAP). Descriptive and inferential statistics including simple linear regressions were used for data analysis. The findings showed that academic resilience positively and significantly predicted mathematics achievement irrespective of gender. It was recommended to prepare and encourage students to be resilient, with the spirit of resilience inculcated at a young age, as this helps them in life and positively predicts mathematics achievement.