Browsing by Author "Usman, A."

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    Effects of Jigsaw II Cooperative Learning Strategy on Senior School Students’ Performance in Physics in Lafiagi, Kwara State, Nigeria
    (Department of Science Education, Faculty of Education, University of Ilorin, Ilorin, Nigeria, 2022) Usman, A.; Akanbi A. O.; Usman, R. S.; Yusuf, A. A.
    The study investigated the effects of Jigsaw II cooperative learning strategy on senior school students' performance in physics. The study also determined how moderating variables of score levels influence students’ performance in physics when jigsaw II cooperative learning strategy was used as instructional strategy. The study employed a quasi-experimental design of non randomized, non-equivalent pre-test post-test control group design. Random sampling technique was used to select two senior secondary school III (SSSIII) physics students comprising 146 (68 male and 78 female) from two intact classes in Lafiagi, Kwara State, Nigeria. Jigsaw II Cooperative Learning Instructional Package on Electric Field (JIICLIPEF) and Electric Field Performance Test (EFPT) were used as treatment and test instruments. Data were collected and analyzed with t-test and Analysis of Covariance (ANCOVA) statistical tools Findings indicated that students taught electric field (current electricity) using jigsaw II cooperative learning strategy performed better than those taught with conventional methods, and there was no significant difference in the performance of students taught electric field with Jigsaw II on the basis of score level. It was therefore recommended based on the findings that teachers should make use of Jigsaw II cooperative learning strategy in order to enhance students’ performance in the electric field.
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    Power Analysis of the Likelihood Ratio Test for Exponential Populations
    (Transactions of the Nigerian Association of Mathematical Physics (Trans. of NAMP), 2017-05-31) Yahya, W. B.; Kolade, E. I.; Garba, M. K.; Usman, A.
    The statistical power of the likelihood ratio (LR) test for testing the parameter (λ) of the exponential distribution under different parameter considerations and sample sizes was investigated. Results from Monte Carlo studies showed that the power of the test is highly sensitive to the size of λ_0∈λ under H0 and λ_1∈λ under H1 from the parameter space λ being tested. As the values of both λ_0 and λ_1 progressively increase, more samples would be required before a small shift between them could be detected with appreciable power, even with equal effect sizes |λ_0-λ_1 | over various sizes of λ_0 and λ_1. However, the sample size required to attain a reasonable power by the test reduces as the value of the parameter ratio λ_0/λ_1 decreases with λ_0<λ_1. Further results indicated that fewer samples would be required by the test to achieve appreciable power as the chosen size α level increases. Empirical illustrations are provided to validate the results from Monte Carlo experiments.
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    Trend and variability of aerosol optical depth at UV wavelength (340 nm) over Ilorin AERONET site in the North Central State of Nigeria
    (School of Science and Technology Education, Federal University of Technology, Minna, Nigeria, 2020-12-03) Ibrahim, B. B.; Sharafa, S. B.; Usman, A.
    Aerosols are small solid or fluid airborne mass, or particles, that remain suspended in the air and move with the motion of the air within broad limits. The extinction of sunlight reaching the ground by a vertical column of atmosphere due to aerosol is often termed as aerosol optical depth. This research work investigates the trend of Aerosol Optical Depth (AOD) at 340 nm and its variability over 13 years (2002-2014) using AERONET data for Ilorin, Nigeria. Daily and monthly mean, maximum, minimum and range of AOD values and their trends were investigated using regression analysis. The result shows that on annual basis, the minimum value of AOD occurred in the year 2008 with a value of 0.096 in August while the maximum value of AOD occurred in 2006 with a value of 3.878. The highest range of AOD also occurred in the year 2006 with a value of 3.663 in March. On year by year monthly average,the minimum value of AOD occurred in year 2008 with a value of 0.293 in August while the maximum occurred in year 2007 with a value of 1.6747 in January. Year 2008 has the highest value of range with a value of 1.3068. The result further shows that the yearly representation of daily mean, maximum, minimum and range behave similarly in trend with AOD rising from November up to March of the following year. There is a drop in AOD in May until a minimum in August of the year before another rise in the value. A quadratic fit best described the plot of daily mean, maximum, minimum and range of AOD with days of the year. AOD shows positive and negative value of monthly trend throughout the study period. No year with similar monthly trend. This analysis will be useful for air quality assessment studies.