Predicting the Students Involvements and its Impacts on Learning Outcomes Through Online Education During Covid-19

Muhammad Nadeem, Faisal Bukhari, Ali Hussain
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Abstract

Everybody knows very well about the COVID-19 pandemic, lockdown, and its impacts and effects on every field of life, from childhood to senior citizens, from local to global. The underlying research study focuses on students' involvement in online classes. This paper assesses the effect of the COVID-19 pandemic on the students' participation and involvement during online classes compared to the physical classes, cheating behavior, health effects, and study styles of the students of diverse degrees and age groups. This research study contributes to the real problems and challenges that students faced during online classes during the COVID-19 pandemic. The percentages of the students' responses with different color schemes shown in Fig. 1, Fig. 2, Fig.3(a), Fig.3(b) and Fig.4 are conveying powerful and meaningful insight. These figures and the results given in Table I and Table II indicate that most students are not fully involved during online classes due to technical issues, remote distance, etc. We applied the Test here because we do not have exact population means. We used ttest_1samp with default value 0 to compute the variables' statistics and p-value. These values are minimal in favor of rejecting the null or H0 (hypothesis) and accepting the alternate or H1 (hypothesis). It further means that students' involvement during online classes is severely affected.
2019冠状病毒病期间通过在线教育预测学生参与及其对学习成果的影响
每个人都非常了解COVID-19大流行、封锁及其对生活各个领域的影响和影响,从儿童到老年人,从地方到全球。本研究以学生参与网络课堂为主要研究对象。本文通过对比不同学历、不同年龄段学生的物理课、作弊行为、健康影响和学习方式,评估了新冠肺炎疫情对学生在线课堂参与和投入的影响。这项研究有助于学生在COVID-19大流行期间在在线课程中面临的实际问题和挑战。图1、图2、图3(a)、图3(b)和图4所示的学生对不同配色方案的反应百分比传达了有力而有意义的见解。这些数字和表一、表二给出的结果表明,由于技术问题、远程距离等原因,大多数学生在在线课程中没有充分参与。我们在这里应用检验是因为我们没有确切的总体均值。我们使用缺省值为0的ttest_1samp来计算变量的统计信息和p值。这些值是最小的,有利于拒绝零值H0(假设)和接受替代或H1(假设)。这进一步意味着学生在网络课堂上的参与度受到严重影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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