Assessment of the Relationship Between Music Students' Self-Efficacy, Academic Performance and Their Artificial Intelligence Readiness

IF 2.8 3区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH European Journal of Education Pub Date : 2024-09-28 DOI:10.1111/ejed.12761
Xinzheng Wang, Peiwen Li
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Abstract

In recent years, the intersection of self-efficacy and technological readiness has become increasingly relevant in educational research, particularly within specialised fields like music education. Understanding how these factors interplay can offer valuable insights into enhancing educational practices and fostering academic achievement among music students. This study investigates the relationship between music students' self-efficacy, academic performance and artificial intelligence (AI) readiness within the context of Chinese Music education. Adopting a random sampling method, the researchers distributed questionnaires to 1082 Chinese music students to assess their self-efficacy, academic performance and AI readiness. Utilising SPSS (version 27) and AMOS (version 24) for data analysis, the researchers explored the statistical relationships among these variables. The findings indicate that a significant 63% of variations in students' academic performance can be explained by the combined influence of self-efficacy and AI readiness. This highlights a strong relationship between these factors and students' overall success in their professional pursuits. Specifically, students' self-efficacy uniquely predicts 52% of changes in academic performance, emphasising the importance of self-belief in academic achievement, whereas their AI readiness uniquely predicts 60% of changes in academic performance, showcasing the critical role of technological fluency in driving academic success. These results provide valuable insights into the interconnected dynamics of self-efficacy, academic performance and AI readiness among Chinese music students. The study underscores the significance of confidence, technological proficiency and their impact on students' educational trajectories, offering implications for enhancing educational practices and fostering student success in the context of music education.

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音乐专业学生的自我效能感、学习成绩与人工智能就绪程度之间的关系评估
近年来,自我效能感和技术准备的交叉点在教育研究中变得越来越重要,尤其是在音乐教育等专业领域。了解这些因素是如何相互作用的,可以为改进教育实践和提高音乐专业学生的学业成绩提供有价值的见解。本研究以中国音乐教育为背景,探讨了音乐专业学生的自我效能感、学业成绩和人工智能(AI)准备程度之间的关系。研究人员采用随机抽样的方法,向 1082 名中国音乐专业学生发放了调查问卷,以评估他们的自我效能感、学业成绩和人工智能准备程度。研究人员利用 SPSS(27 版)和 AMOS(24 版)进行数据分析,探讨了这些变量之间的统计关系。研究结果表明,63% 的学生学业成绩差异可以通过自我效能感和人工智能准备程度的综合影响来解释。这凸显了这些因素与学生在专业追求中取得整体成功之间的密切关系。具体而言,学生的自我效能感可独特预测 52% 的学业成绩变化,强调了自信心对学业成绩的重要性;而他们的人工智能准备程度可独特预测 60% 的学业成绩变化,展示了技术流畅性在推动学业成功方面的关键作用。这些结果为了解中国音乐专业学生的自我效能感、学业成绩和人工智能准备程度之间的相互联系提供了宝贵的见解。研究强调了自信心、技术熟练程度及其对学生教育轨迹影响的重要性,为音乐教育中加强教育实践和促进学生成功提供了启示。
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来源期刊
European Journal of Education
European Journal of Education EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
4.50
自引率
0.00%
发文量
47
期刊介绍: The prime aims of the European Journal of Education are: - To examine, compare and assess education policies, trends, reforms and programmes of European countries in an international perspective - To disseminate policy debates and research results to a wide audience of academics, researchers, practitioners and students of education sciences - To contribute to the policy debate at the national and European level by providing European administrators and policy-makers in international organisations, national and local governments with comparative and up-to-date material centred on specific themes of common interest.
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