Viability Problem-Solving Approach in Teaching Mathematics at This Era: Retrospection of the Six Decades of Mathematics Education in Ghana
William Agyei Brantuo,
Seth Amoako Atta,
Theophilus Kwasi Klu,
Solomon Ohene Amoako-Atta
Issue:
Volume 9, Issue 1, March 2023
Pages:
1-7
Received:
31 July 2022
Accepted:
17 October 2022
Published:
22 May 2023
Abstract: This paper attempts to preview the viability of the problem-solving approach in teaching mathematics in Ghana in this digital age. The historical development of mathematics Education in Ghana since the nation's independence from British rule in 1957; and how these have influenced current practice in teaching mathematics and beyond, detailing the reliance on traditional instructional strategies such as lectures and quizzes and how reformed instructional practices were students have the opportunity to link mathematical concepts to real-life situations (problem-solving and inquiry-based learning) have been provided. Some recommendations such as enrolling back in the TIMSS Assessment as it embraces the modern pedagogies in mathematics problem-solving in order to train the young ones to be innovative, creative, critical thinkers and problem solvers, opting for other mechanisms of assessment with international repute that can help transform the country’s school mathematics than the continuous reliance on WAEC as the monopolist examination body and the intensification of continuous professional teacher development to ensure that the serving teachers are abreast with modern best practices have been made to improve students’ performance in the subject as a means of adopting modern pedagogical skills in delivering mathematics education in Ghana.
Abstract: This paper attempts to preview the viability of the problem-solving approach in teaching mathematics in Ghana in this digital age. The historical development of mathematics Education in Ghana since the nation's independence from British rule in 1957; and how these have influenced current practice in teaching mathematics and beyond, detailing the re...
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Classification of Some Test of Normality Techniques into UMP and LMP Using Monte Carlo Simulation Technique
Awopeju Kabiru Abidemi,
Ajibade Fatai Bright,
Abuh Musa
Issue:
Volume 9, Issue 1, March 2023
Pages:
8-17
Received:
29 September 2021
Accepted:
24 August 2022
Published:
29 May 2023
Abstract: In Statistics, test of normality is of great importance and cannot be neglected in statistical analysis. However, there exist many techniques for such analysis and researchers usually face with the choice of test. From the literature, it has been established that power of test of normality vary significantly based on sample sizes. In this study, seven normality tests were reviewed and the classification into LMP and UMP were based on Power-of-Test. The test of hypothesis was done at 5% level of significance. The tests considered as; Shapiro-Wilk, Anderson-Darling, Bonett-Serial, Robust Jarque-Bera, Skewness, Lilliefors and Kurtosis tests. The sample sizes considered are 10, 20, 50 and 100 with 1000 replicates. Simulation was done from 3 distributions namely, normal, gamma and beta distributions. It was found that all methods were stronger for the detection of normality when normal distribution was used but the variation in their power was obvious when non-normal distributions were used. Among the methods, only three can be referred to as UMP while the rest are LMP. The UMP methods are Shapiro-Wilk, Anderson-Darling and Lilliefors as their Power-of-Test was not affected by sample sizes.
Abstract: In Statistics, test of normality is of great importance and cannot be neglected in statistical analysis. However, there exist many techniques for such analysis and researchers usually face with the choice of test. From the literature, it has been established that power of test of normality vary significantly based on sample sizes. In this study, se...
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