移动技术和智能课堂环境对学习投入的影响

IF 0.5 Q4 ENGINEERING, MULTIDISCIPLINARY
Bingzhuan Peng
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引用次数: 0

摘要

为拓展移动技术和智能课堂环境在教育中的应用,探索其对学习投入的影响,本文基于情境认知理论,以中国六所高校296名大二学生为研究对象,调查了移动技术、智能课堂环境和学习投入之间的关系。研究结果表明:(1)在移动技术和智能课堂环境下,课堂上使用移动设备学习的频率、课后使用移动设备学习的频率、课堂上使用移动设备学习的持续时间、课后使用移动设备学习的持续时间、硬件环境、软件资源和技术接受度对学习投入有正向影响;(2)移动技术和智能课堂环境能更好地调动学习者的学习兴趣和主动性,提高学习者的学习参与度;(3)移动技术和智能课堂环境能够显著提高大学生的行为投入、情感投入和认知投入。本研究有助于将学习者的外部学习需求转化为学习者的内部学习动机,从而提高学习者的学习参与度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Influence of mobile technology and smart classroom environment on learning engagement
To expand the application of mobile technology and smart classroom environment in education, and explore their influence on learning engagement, this paper, based on the Situated Cognition Theory, took 296 sophomores from six universities in China as the research objects and investigated the relationship between mobile technology, smart classroom environment, and learning engagement. The findings show that: (1) in the mobile technology and smart classroom environment, the frequency of learning by mobile devices in class, the frequency of learning by mobile devices after class, the duration of learning by mobile devices in class, the duration of learning by mobile devices after class, the hardware environment, software resources, and technology acceptance have positive effects on learning engagement; (2) mobile technology and smart classroom environment can better mobilize learners’ interest and initiative in learning and increase learners’ engagement in learning; (3) mobile technology and smart classroom environment can greatly improve college learners’ behavioural engagement, emotional engagement, and cognitive engagement respectively. This study helps turn the learners’ external learning needs into their internal learning motivation, thus enhancing their learning engagement.
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来源期刊
CiteScore
0.80
自引率
0.00%
发文量
152
期刊介绍: The major goal of the Journal of Computational Methods in Sciences and Engineering (JCMSE) is the publication of new research results on computational methods in sciences and engineering. Common experience had taught us that computational methods originally developed in a given basic science, e.g. physics, can be of paramount importance to other neighboring sciences, e.g. chemistry, as well as to engineering or technology and, in turn, to society as a whole. This undoubtedly beneficial practice of interdisciplinary interactions will be continuously and systematically encouraged by the JCMSE.
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