Exploring music students' resistance to innovation as a moderator in the relationship between e‐learning adoption and academic performance

适度 结构方程建模 偏最小二乘回归 多重共线性 数学教育 描述性统计 北京 计算机科学 抗性(生态学) 心理学 自举(财务) 样品(材料) 回归分析 统计 中国 数学 机器学习 生态学 生物 化学 色谱法 法学 政治学 计量经济学
作者
Xueer Bai
出处
期刊:Psychology in the Schools [Wiley]
卷期号:61 (6): 2612-2633
标识
DOI:10.1002/pits.23181
摘要

Abstract A teaching strategy known as an “e‐learning system” involves the use of electronic technology to encourage and assist learning in a classroom setting. According to the increasing rise in the number of pupils using modern communication technologies, alterations to the e‐learning system are now feasible. The study aims to explore the relationship between e‐learning adoption, attitude, and academic performance in the regulations of students' resistance to innovation from the perspective of Chinese students. Recognizing the mediating impact of e‐learning adoption (ELAD) as well as the regulating function of resistance to innovation (RTI) is crucial for completely comprehending how e‐learning attitude (ELAT) influences music student performance (SP). The objective of this study is to find an association between ELAT and students' performance and to find out the association between ELAD and students' performance. A random sampling technique was utilized quantitatively. Data were collected from 293 music education students in China using a questionnaire method. The study obtained data were analyzed through descriptive statistics using SPSS statistical software. The research was conducted in Chinese music educational institutions in Beijing. PLS‐SEM stands for Partial Least Squares Structural Equation Modeling. It's a statistical method used for analyzing relationships between variables. Partial Least Squares (PLS) software is chosen for its versatility in handling complex relationships with small sample sizes. PLS is known for its ability to handle multicollinearity, making it a robust choice for research requiring accurate and stable predictions with limited data. The study analyzes the connection between music student performance and e‐learning attitude. The findings of the study indicate the regulating role of objections to innovation and the mediation effect of e‐learning adoption. The study suggests that a positive attitude toward e‐learning adoption enhances students' work performance. The findings underline the significance of ELAT and ELAD and offer useful policies for improving students' performance.
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