Examining the Self-Efficacy for Online Learning across Young and Old Age Students of Sindh

Aisha Naz Ansari
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Abstract

This paper presents the self-efficacy for online learning during a pandemic across two age groups young (25 and below) and old (above 25) from different schools and universities in Sindh based on five constructs of self-efficacy. These constructs include completion of online courses, social interaction among students, academic interaction among students, interaction with instructors, and handling online tools of course management. This was a quantitative study with a web-based survey. The population of the study was school and university students of Sindh aging from 18 onwards and have taken online classes. The sample (n=162) was selected conveniently. And the data were gathered using an adopted questionnaire of self-efficacy for online learning (SeQoL) which has an excellent Cronbach’s alpha value (0.947). The analysis was done by exploratory, descriptive, and inferential analysis. The results of the study reveal that the old group has shown higher (M= 3.07; SD= 0.57) self-efficacy for online learning as compared to their counterparts in the younger group (M= 2.72; SD= 0.54). The difference was found to be significant (p<0.001) with a medium magnitude (r=0.321). Therefore, the paper concludes that both age groups have a certain level of self-efficacy for online learning. However, the older students have higher self-efficacy than their counterparts. This study presents some limitations and recommendations for both policy and practice levels and for future studies.
信德省青年和老年学生在线学习自我效能感的研究
本文介绍了来自信德省不同学校和大学的年轻人(25岁及以下)和老年人(25岁以上)在流行病期间在线学习的自我效能感,基于自我效能感的五个构念。这些构建包括完成在线课程、学生之间的社会互动、学生之间的学术互动、与教师的互动以及处理在线课程管理工具。这是一项基于网络的定量研究。该研究的对象是信德省18岁以上的在校大学生,他们都参加过在线课程。样本(n=162)选择方便。采用Cronbach’s alpha值为0.947的在线学习自我效能感问卷(SeQoL)进行数据收集。分析采用探索性分析、描述性分析和推断性分析。研究结果显示,老年组表现出更高(M= 3.07;SD= 0.57)在线学习的自我效能与年轻组相比(M= 2.72;SD = 0.54)。差异有统计学意义(p<0.001),中等量级(r=0.321)。因此,本文的结论是,两个年龄组的在线学习自我效能感都有一定的水平。然而,大龄学生的自我效能感高于同龄学生。本研究对政策和实务层面以及未来的研究提出了一些限制和建议。
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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