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影响学业成绩的非认知变量研究:概念模型提案

Examination of non-cognitive variables affecting academic achievement: a conceptual model proposal.

作者信息

Yildiz Durak Hatice, Şimşir Gökalp Zeynep, Seki Tolga, Saritepeci Mustafa, Dilmaç Bülent

机构信息

Eregli Faculty of Education, Department of Educational Science, Necmettin Erbakan University, Konya, Turkey.

Faculty of Education, Department of Educational Sciences, Selçuk University, Konya, Turkey.

出版信息

Qual Quant. 2022 Dec 24:1-22. doi: 10.1007/s11135-022-01580-w.

Abstract

Psychological factors have a significant role in better understanding mechanisms that affect students' academic performance. The intense and long-term stress of the pandemic process has made it necessary to rethink the components which effect the academic achievement of pupils. The purpose of this study is to examine the variables that predict the academic achievement of university students during the pandemic process and to present a model on these variables. The study group has 241 students who continue their undergraduate education in Turkey. The data were collected with a self-description form and 6 scales. The partial Least Squares (PLS) Structural Equation Model was used to analyses the developed research model. In consequence of the study, a relationship was obtained between academic procrastination (AP) and multi-screen addiction (MSA). Covid-19 burnout has a crucial effect on AP, multiscreen addiction, and psychological well-being variables. Motivation and self regulation-attention variables are explanatory of AP. This study contributes to expanding the nomological network regarding the effects of Covid-19 on the psychological well-being and behavior of individuals.

摘要

心理因素在更好地理解影响学生学业成绩的机制方面具有重要作用。疫情期间强烈且长期的压力使得重新思考影响学生学业成绩的因素成为必要。本研究的目的是考察在疫情期间预测大学生学业成绩的变量,并基于这些变量提出一个模型。研究组有241名在土耳其继续本科教育的学生。数据通过一份自我描述表格和6个量表收集。采用偏最小二乘(PLS)结构方程模型来分析所构建的研究模型。研究结果表明,学业拖延(AP)与多屏成瘾(MSA)之间存在关联。新冠倦怠对学业拖延、多屏成瘾和心理健康变量具有关键影响。动机和自我调节注意力变量可解释学业拖延。本研究有助于拓展关于新冠疫情对个体心理健康和行为影响的理论网络。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0458/9789317/f5597ddbe60e/11135_2022_1580_Fig1_HTML.jpg

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