Determinants of Online Teaching and Learning Effectiveness for Statistical Concepts and Calculations Subjects During the COVID-19 Movement Control Order (MCO)

Abstract

In today’s fast-paced ICT-driven world, understanding the factors influencing the effectiveness of online teaching and learning is paramount, especially during the Movement Control Order (MCO) when physical educational activities are restricted. Assessing the efficacy of undergraduate students under these circumstances can be particularly challenging, and the resulting conclusions may vary depending on the context. Consequently, this study is driven by three primary objectives. Firstly, this study seeks to employ factor analysis as a robust method for validating the selected online teaching and learning instruments. Secondly, it endeavors to categorize the survey instruments into distinct core variables using Principal Axis Factor analysis. Additionally, the study aims to harness multiple regression analysis to uncover the factors influencing the efficiency of online teaching and learning. To achieve these objectives, an online questionnaire was administered to 107 students enrolled in a university in Malaysia. The collected data were analyzed using Statistical Package for the Social Sciences (SPSS). The results of the multiple regression analysis revealed that lecturer roles and student attitudes have significant positive relationships with the success of online teaching and learning. In contrast, flexibility exhibited a significant but inverse association. Despite the global transition into the endemic phase of COVID-19, this study aspires to furnish valuable insights for lecturers, students, and university administrators regarding the ongoing practices of online teaching and learning. Ultimately, these insights can empower policymakers to formulate optimal strategies thereby benefiting all stakeholders involved. In conclusion, this study acknowledges its limitations and offers recommendations for further research.