Impact of lecture attendance on academic performance of business education students in tertiary institutions: A case study of Federal Capital Territory College of Education Zuba-Abuja

Abstract

This study was conducted to determine the impact of lecture attendance on academic performance of business education students in tertiary institutions with Federal Capital Territory College of Education Zuba-Abuja as a case study. The study was guided by two specific research objectives and null hypotheses. The study adopted a descriptive research design. The population of the study comprised of all the 80 students who registered for BED 220 (Entrepreneurship in Business Education I) in 2017/2018 academic session at the Department of Business Education, Federal Capital Territory College of Education, Zuba-Abuja, Nigeria. Census survey was used which led to the consideration of the entire population for the study. The data used in the study was collected from a secondary source (published result) and the two null hypotheses were respectively tested with Chi-square and t-test at 0.05 level of significance. The findings revealed that a significant relationship exists between lecture attendance and academic performance of business education students in tertiary institutions. It also showed that a significant difference exists between the academic performance of business education students with high rate of attendance and those with low rate of attendance. The study concluded that lecture attendance enables students to be more creative, get first-hand and practical information from the teacher and it was found to be crucial to the acquisition of skills required for sustainable development in Nigeria. As a way forward, the study among others recommended that mandatory attendance should be enforced and teachers should adopt a friendly posture and encourage students to be punctual in the class. respectively considered good while (published students’ examination result). Hypotheses and two were respectively tested using Chi-square and t-test with the aid of Statistical Package for Social Sciences (SPSS). two hypotheses were tested at 0.05 level of significance and the decision rule was that a null hypothesis would be accepted if the p-value was ≥ 0.05 and rejected if the p-value was < 0.05.