The Effects of Learner Characteristics on Learning Flow and Learning Satisfaction in the Flipped Learning of Chinese Beauty Major College Students

Yue Jia, K. Kim
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Abstract

The advancement of information and communication technology, a central element in the Fourth Industrial Revolution, is influencing the way people think and act with the introduction of artificial intelligence, augmented reality, and the Internet of Things. In education, there's a notable shift from a teacher-centric approach to a learner-centric environment, emphasizing the flipped learning teaching method that facilitates self-directed learning. This study examined how learner characteristics influence learning flow (classroom class and online class) and learning satisfaction in order to establish a foundation for the effective implementation of beauty education in a flipped learning environment. An empirical study was conducted from July 10 to August 10, 2023, involving 166 surveys administered to beauty-related students in China. The data were analyzed using SPSS 25.0, employing techniques such as frequency analysis, factor analysis, reliability analysis, descriptive statistics, correlation analysis, and multiple regression analysis. The research findings indicated high reliability scores for learner characteristics (3.98), learning flow (3.75), and learning satisfaction (3.77) within the flipped learning environment. Correlation analyses between learner characteristics, learning flow, and learning satisfaction revealed statistically significant correlation, especially in terms of the correlation between learning attachment of learner characteristics and learning self-efficacy in learning satisfaction. In particular, a higher level of learning attachment in learner characteristics was associated with a statistically significant positive effect on learning satisfaction, whether in online or classroom learning contexts. The research findings suggest that flipped learning classes can improve students' satisfaction by boosting their learning attachment, leading to increased learning self-efficacy. This study highlights the importance of a flipped learning instructional approach when designing courses to enhance learning flow and attachment, addressing academic self-regulation and self-determination motivation.
学习者特征对中文美容专业大学生翻转学习中学习流和学习满意度的影响
信息和通信技术的进步是第四次工业革命的核心要素,随着人工智能、增强现实和物联网的引入,正在影响人们的思维和行为方式。在教育领域,以教师为中心的方法正显著转向以学习者为中心的环境,强调促进自主学习的翻转学习教学法。本研究探讨了学习者特征如何影响学习流程(课堂课堂和在线课堂)和学习满意度,从而为在翻转学习环境中有效实施美容教育奠定基础。本研究于 2023 年 7 月 10 日至 8 月 10 日进行了一项实证研究,对中国美容相关专业的学生进行了 166 次问卷调查。使用 SPSS 25.0 对数据进行了分析,采用了频数分析、因子分析、信度分析、描述性统计、相关分析和多元回归分析等技术。研究结果表明,在翻转学习环境中,学习者特征(3.98)、学习流程(3.75)和学习满意度(3.77)的信度较高。学习者特征、学习流程和学习满意度之间的相关分析表明,在统计学上存在显著的相关性,尤其是学习者特征中的学习依恋和学习满意度中的学习自我效能感之间的相关性。特别是,无论是在线学习还是课堂学习,学习者特征中较高水平的学习依恋对学习满意度都有统计学意义上的积极影响。研究结果表明,翻转学习课堂可以通过增强学生的学习依恋来提高他们的满意度,从而提高学习自我效能感。本研究强调了在设计课程时采用翻转学习教学方法的重要性,以增强学习流和学习依恋,解决学业自我调节和自我决定动机问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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