研究在线学习的挑战及其与学习成绩的关系:选定学校的案例

Andrew Sija
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摘要

本研究旨在调查实施在线学习所带来的挑战及其对学生学习成绩的影响。本研究提到的主要挑战包括学习资源、学习环境、自律和技术充分性。具体而言,研究旨在评估所选自变量(即关键挑战)与因变量(学习成绩)之间的关系。研究表明,在线学习能提高学生对信息的保留率,而且耗时较少。本研究的目的是说明和介绍在线学习作为公立学校可持续教育替代方案的有效性、相关性和适用性。虽然已经开展了大量研究,一些研究人员也对这些问题进行了深入探究,但研究人员从在线学习中发现的关于影响学生学习成绩的挑战的具体信息仍然有限。为了实现这一目标,研究人员从两所公立中学抽取了 210 名学生样本(分别来自 SMK Baru Bintulu 和 SMK Bintulu)。数据收集技术通过发放调查问卷进行,所有数据均使用 SPSS 26 版统计技术进行收集、处理和分析。描述性分析用于衡量不同维度的各种反应,如受访者的人口统计信息,此外,推论性分析主要用于研究挑战(学习资源、学习环境、自律和技术充分性)与学生学习成绩之间的关系。结果显示,学习环境挑战是影响学生学习成绩的最强预测因子,非标准化系数为 β = .356,t = 4.726,p <.05;其次是自律挑战,β = .316,t = 4.182,p <.05。本研究的最大贡献在于,它首次探索了在线学习对公立学校学生学习成绩的挑战和影响,这带来了至关重要的影响,促使政府立即就此事采取行动。 文章可视化:
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EXAMINING THE ONLINE LEARNING CHALLENGES AND ITS RELATIONSHIP ON LEARNING PERFORMANCE: CASE AT SELECTED SCHOOLS
This study aims to investigate the challenges derived from implementing online learning and its effect on students' learning performances. The key challenges mentioned in this study were the learning resources, learning environment, self-discipline and technological sufficiency. In specific, it is to assess the relationship between the selected independent variables i.e. the key challenges with the dependent variable (learning performances). Research suggests that online learning has been shown to increase retention of information among students and consume less time. It is the objective of the researcher in this study to illustrate and present the effectiveness, relevancy and applicability of online learning as an alternative to sustainable education in government schools. Although quite a number of studies have been performed and some researchers have delved deep into their interest in investigating these issues, however, researchers still found limited information from online learning specifically on the challenges which crucially affect students’ learning performance. To achieve this goal, a total of 210 samples of students from two government secondary schools have been taken into consideration, and (from SMK Baru Bintulu and SMK Bintulu). The data collection technique was carried out by distributing questionnaires and all data were gathered, processed and analyzed using statistical technique SPSS version 26. The descriptive analysis was used to gauge various responses across various dimensions such as in the respondent’s demographic information, additionally, inferential analysis was mainly for examining the relationship between the challenges (learning resources, learning environment, self-discipline and technological sufficiency) and student’s learning performance. The results revealed learning environment challenge is the strongest predictor in influencing student’s learning performance with unstandardized coefficients, β = .356, t = 4.726 p <.05, followed by self-regulation challenge with β = .316, t = 4.182, p <.05. The most significant contribution of this study is that it explores for the first time the investigation of challenges and effect of online learning on students’ learning performance among students at government schools, this has brought a crucial impact and pushed to the government to take immediate action regarding the matter.  Article visualizations:
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