在强迫在线教师教育中,数字远程学习可以随时随地发生的想法是一个神话

IF 3 Q1 EDUCATION & EDUCATIONAL RESEARCH Technology Knowledge and Learning Pub Date : 2023-09-23 DOI:10.1007/s10758-023-09685-3
Andrej Šorgo, Mateja Ploj Virtič, Kosta Dolenc
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引用次数: 0

摘要

为应对新冠肺炎疫情,一项非自愿的国际实验对“随时随地学习”的范式进行了考验,该实验将所有学生转向数字远程学习。在线调查获得281名职前小学和学科教师的回复。使用结构方程模型,通过检查个人数字技术结构质量、满意度、健康、福祉、动机和身体活动之间的路径系数来检验联系。个人数字技术质量问题对除动机外的所有构念均有中等影响。满意度对所有构念、幸福感和健康的影响最大。在比较个人数字技术质量的倒数第三名和前三名学生的反应时,发现没有适当的技术和工作空间的学生满意度较低,遭受的痛苦更多。这反映在与健康、福祉和体育活动有关的问题发生率增加,同时积极性下降。至少对于技术匮乏的人来说,“随时随地学习”的模式是一个神话。该研究强调,教育机构需要为所有学生提供足够的技术和工作空间,以支持他们在远程学习期间的福祉和动力。
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The Idea That Digital Remote Learning Can Happen Anytime, Anywhere in Forced Online Teacher Education is a Myth
Abstract An involuntary international experiment in which the entire student population was switched to digital remote learning due to the measures to stop COVID-19 put the paradigm of "anytime, anywhere learning" to the test. Online survey responses were obtained from 281 preservice primary and subject teachers. Using Structural Equation Modelling, connections were examined by inspection of path coefficients between constructs quality of personal digital technology, satisfaction, health, well-being, motivation, and physical activity. Problems with the quality of personal digital technology had a moderate influence on all constructs except motivation. Satisfaction influenced all constructs, well-being, and health the most. When comparing responses of the bottom and top third students based on the quality of personal digital technology, it was found that students who did not have the appropriate technology and workspace were less satisfied and suffered more. This is reflected in an increased incidence of problems related to health, well-being, and physical activity, along with a decrease in motivation. At least for the technologically deprived, the paradigm of "anytime, anywhere learning" is a myth. The study highlights the need for educational institutions to provide adequate technology and workspaces for all students in order to support their well-being and motivation during remote learning.
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来源期刊
Technology Knowledge and Learning
Technology Knowledge and Learning EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
9.50
自引率
6.10%
发文量
43
期刊介绍: Technology, Knowledge and Learning emphasizes the increased interest on context-aware adaptive and personalized digital learning environments. Rapid technological developments have led to new research challenges focusing on digital learning, gamification, automated assessment and learning analytics. These emerging systems aim to provide learning experiences delivered via online environments as well as mobile devices and tailored to the educational needs, the personal characteristics and the particular circumstances of the individual learner or a (massive) group of interconnected learners. Such diverse learning experiences in real-world and virtual situations generates big data which provides rich potential for in-depth intelligent analysis and adaptive feedback as well as scaffolds whenever the learner needs it. Novel manuscripts are welcome that account for how these new technologies and systems reconfigure learning experiences, assessment methodologies as well as future educational practices. Technology, Knowledge and Learning also publishes guest-edited themed special issues linked to the emerging field of educational technology.    Submissions can be empirical investigations, work in progress studies or emerging technology reports. Empirical investigations report quantitative or qualitative research demonstrating advances in digital learning, gamification, automated assessment or learning analytics. Work-in-progress studies provide early insights into leading projects or document progressions of excellent research within the field of digital learning, gamification, automated assessment or learning analytics. Emerging technology reports review new developments in educational technology by assessing the potentials for leading digital learning environments.   Manuscripts submitted to Technology, Knowledge and Learning undergo a blind review process involving expert reviews and in-depth evaluations. Initial feedback is usually provided within eight weeks including in progress open-access abstracts and review snapshots.
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