小学生网络学习自我控制的潜在因素

Dedy Kurniawan, F. Alghadari
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引用次数: 0

摘要

大流行期间的在线学习是造成学习损失的一个因素。然而,对于具有自制力的学生来说,他们的学习成果仍然属于良好的范畴。本研究旨在分析网络学习环境下小学生自我控制的潜在因素。本研究采用编码分析、探索性因子分析和验证性因子分析。选取丹戎班丹区一所小学六年级学生(N=24)进行编码分析研究,共得到84个回答,形成16个编码,用于设计学生自我控制量表模型。随机选取印度尼西亚邦加勿里洞4个区4 ~ 6年级小学生(N=146)进行因子分析研究,根据已形成的16个代码构建潜在因子。编码分析和因子分析的数据通过在线调查收集。编码分析调查采用开放式问题,而因子分析调查采用李克特量表设计的项目,并根据“永恒”程度建立反应模型。最后给出了编码分析的结果。因子分析得到两个潜在因子,每个潜在因子分别由6个和10个编码构成。本研究的结果揭示了将每组6和10个编码应用于在线学习中的自我控制因素的结果,即:(1)生产性学习习惯,(2)有效的学习策略。这两个因素可以考虑学生在网络学习中的自我控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Latent factors of elementary school students' self-control in online learning
Online learning during the pandemic has been a contributing factor to learning loss. However, for students who possess self-control, their learning outcomes still fall within the good category. This research aims to analyze the latent factors of self-control among elementary school students in the context of online learning. This study applied coding analysis, exploratory and confirmatory factor analysis. It involves 6th-grade students (N=24) purposively selected from one elementary school in the Tanjungpandan district for the coding analysis study, resulting in 84 responses that formed 16 codes for designing the students' self-control instrument model. Additionally, 4th to 6th-grade elementary school students (N=146) from four districts in Belitung, Bangka Belitung, Indonesia were randomly selected for the factor analysis study to construct latent factors based on the 16 formed codes. The data for the coding analysis and factor analysis were collected through online surveys. The coding analysis survey used open-ended questions, while the factor analysis survey used items designed on a Likert scale with a response model based on the degree of "alwaysness". The results of the coding analysis have been presented. The factor analysis yielded two latent factors, each constructed from 6 and 10 codes, respectively. The findings of this research reveal the results of the reduction technique applied to each set of 6 and 10 codes into self-control factors in online learning, namely: (1) productive learning habits, and (2) effective learning strategies. These two factors can be considered for students' self-control during online learning.
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