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.

中文翻译：

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COVID-19运动控制令（MCO）期间统计概念和计算科目的在线教学和学习效果的决定因素

在当今快节奏的信息通信技术驱动的世界中，了解影响在线教学有效性的因素至关重要，尤其是在体育活动受到限制的行动控制令 (MCO) 期间。在这种情况下评估本科生的效率可能特别具有挑战性，并且得出的结论可能会根据具体情况而有所不同。因此，本研究由三个主要目标驱动。首先，本研究试图采用因素分析作为验证所选在线教学工具的稳健方法。其次，它努力使用主轴因子分析将调查工具分类为不同的核心变量。此外，该研究旨在利用多元回归分析来揭示影响在线教学效率的因素。为了实现这些目标，我们对马来西亚一所大学的 107 名学生进行了在线调查问卷。使用社会科学统计软件包（SPSS）对收集的数据进行分析。多元回归分析的结果显示，讲师角色和学生态度与在线教学的成功具有显着的正相关关系。相比之下，灵活性表现出显着但相反的关联。尽管全球已进入新冠肺炎 (COVID-19) 流行阶段，但本研究仍致力于为讲师、学生和大学管理人员提供有关当前在线教学实践的宝贵见解。最终，这些见解可以帮助政策制定者制定最佳战略，从而使所有利益相关者受益。总之，本研究承认其局限性并为进一步研究提供了建议。