Musa Adekunle Ayanwale
University of Johannesburg

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The use of measurement frameworks to explore the qualities of test items Deborah Oluwafunmilola Tobih; Musa Adekunle Ayanwale; Olufemi Abiodun Ajayi; Modupe Victoria Bolaji
International Journal of Evaluation and Research in Education (IJERE) Vol 12, No 2: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v12i2.23747

Abstract

Psychometricians and researchers have grown increasingly concern about students’ performance. It is noteworthy from observation in the selected university of education in Nigeria that many of these students do not attend lectures for general courses particularly EDU 222 (tests and measurement) due to overcrowded lecture halls, the classroom climate factor, and other latent factors, such as exam conditions, test anxiety among others. Consequently therefore, students’ performance in EDU 222 does not significantly correlate with these challenges. The characteristics of the item parameter of the Tests and Measurement achievement test at the selected University of Education in Ogun State, Nigeria, were therefore examined in this study using measurement theories. The study employed an ex-post facto research of non-experimental design. Purposive sampling was used to select 6,203 second-year undergraduates offering EDU 222 for the 2018/2019 academic year. To analysis students’ responses to 30 multiple-choice questions on tests and measurement, factor analysis, item calibration, an independent sample t-test with a significance threshold of 0.05 were utilized with empirical reliability of 0.64. The results showed the test items satisfied the three-parameter logistics model and uni-dimensionality assumption. The findings also showed that the item response theory (IRT) eliminated 7 items due to guessing, while the classical test theory (CTT) eliminated 13 items. The test is prone to guessing, thus, helps pupils do better on the exam. To establish parameter estimates during test development, higher education institutions (HEIs) should employ the use of IRT.
Can Experience Determine the Adoption of Industrial Revolution 4.0 Skills in 21st Century Mathematics Education? Musa Adekunle Ayanwale
Research in Social Sciences and Technology Vol 8 No 1 (2023): Research in Social Sciences and Technology (Vol.8 issue 1, In Progress)
Publisher : Research in Social Sciences and Technology- OpenED Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46303/ressat.2023.6

Abstract

Teachers in secondary schools were studied to determine their readiness to adopt fourth industrial revolution (4IR) technologies to enhance their teaching practices and student learning. Through Industry 4.0, technologies are also becoming available as products for education, transforming the rules and norms of education. Secondary school mathematics teachers in Nigeria must prepare themselves to embrace digital skills so that they will be ready for new teaching and learning processes that are being introduced by these new digital tools. In this study, a cross-sectional quantitative approach was used. The data were collected using a self-developed instrument with a content validity index of 0.96 and a MacDonald Omega reliability index of 0.84. A purposive sampling technique was used to select 211 mathematics teachers in three Lagos State education districts. Analyses of the obtained data were performed using descriptive statistics and ANOVA at a significance level of 0.05. Results indicate that mathematics teachers are ready to integrate 4IR skills and emerging technologies into their classrooms. In addition, the willingness of participants to adopt relevant 4IR skills across their years of experience was statistically significant. A new path is charted for school administrators, mathematics teachers, and stakeholders in the education sector to assist in policy design toward 4IR, thereby contributing to the existing literature on adopting emerging technologies to teach mathematics education in sub-Saharan Africa.