在线学习、家长教育水平和情感智能对会计计算机学习结果的影响

Siti Fathimatuzzaro, Rochmawati Rochmawati
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引用次数: 1

摘要

人类获得教育的成功可以从几个方面得到支持,因为衡量人的素质是由学习成果的水平决定的。本研究旨在分析学习、父母教育程度和智力对会计计算机学习结果的影响。本研究以泗水州立大学2018级会计教育专业的学生为样本,采用有目的抽样技术,通过问卷调查收集数据,进行定量研究。变量X1、X3的回归分析、偏检验(t检验)结果分别大于t表2.127、3.657。而对于变量X2, t计数小于t表,等于0.570。这意味着在线学习的变量应用(X1),情绪智力(X3)对学习变量(Y)有正向影响,因此Ho被拒绝,Ha被接受。父母受教育程度变量(X2)对学习结果变量(Y)没有影响,因此Ho被接受,Ha被拒绝。同时检验结果(f检验)显示结果为37.877,显著性为0.000,因此Ho被拒绝,Ha表示学习电算化会计的学习成果应用之间存在正向影响,Ha被接受。得到的决定系数(R ^ 2)的结果为0.666,表明所有自变量对该变量的影响为66.6%,其余33.4%来自研究之外的其他变量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pengaruh Penerapan Pembelajaran Daring, Tingkat Pendidikan Orangtua Dan Kecerdasan Emosional Terhadap Hasil Belajar Komputer Akuntansi
The success of humans in obtaining education can be supported from several aspects, because the measure of human quality is determined by the level of learning outcomes. This research was conducted with the aim of analyzing the effect of learning, parental education levels and intelligence on learning outcomes of accounting computers. This type of research is quantitative using a sample of Surabaya state university students in the accounting education program class 2018 with purposive sampling technique and collecting data through a questionnaire. The results of regression analysis, partial test (t test) on variables X1, X3 are greater than t table, respectively 2.127 and 3.657. Whereas for the variable X2 t count is smaller than t table which is equal to 0.570. Which means the variable application of online learning (X1), emotional intelligence (X3) has a positive effect on the learning variable (Y) so Ho is rejected, Ha is accepted. The parental education level variable (X2) has no effect on the learning outcome variable (Y) so Ho is accepted, Ha is rejected. Simultaneous test results (f test) showed a result of 37.877 with a significance of 0.000, so Ho is rejected, Ha which says there is a positive influence between the application of learning outcomes of learning computer accounting is accepted. The result of the coefficient of determination (R ^ 2) obtained 0.666 shows that all independent variables affect the variable by 66.6%, while the other 33.4% are obtained from other variables outside the research.
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