From face-to-face to online: Teachers' perceived experiences in online distance teaching during the Covid-19 pandemic

IF 8.9 1区 教育学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Yael Sidi, Tamar Shamir-Inbal, Yoram Eshet-Alkalai
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引用次数: 2

Abstract

The urgent shift to online distance teaching and learning during the Covid-19 pandemic presented teachers with unique pedagogical, technological, and psychological challenges. The aim of this study was to map the main positive and negative experiences of teachers during this transition, as well as to examine intra- and interpersonal factors that affected teachers' ability to cope effectively with the challenges of online distance teaching. We used a mixed-method approach that combined qualitative (interviews) and quantitative (questionnaires) analyses. The interviews were analyzed using a grounded theory approach, specifically a bottom-up analysis, which led to the identification of five primary categories reflecting teachers' main concerns in online distance teaching (i.e., social, emotional, cognitive, pedagogical, and system support. The two most prominent categories were pedagogy and emotions, illustrating their centrality in teachers' experiences. A regression analysis of the questionnaires' data revealed that the two main variables which predicted both positive and negative experiences in online distance teaching were self-efficacy and teachers' attitudes towards technology integration in teaching. Findings of this study allow formulation of guidelines to promote factors related to positive experiences in online distance teaching.

从面对面到在线:新冠肺炎大流行期间教师在在线远程教学中的感知体验。
新冠肺炎大流行期间,向在线远程教学的紧急转变给教师带来了独特的教学、技术和心理挑战。本研究的目的是绘制教师在这一转变过程中的主要积极和消极经历,并考察影响教师有效应对在线远程教学挑战的内部和人际因素。我们采用了一种混合方法,结合了定性(访谈)和定量(问卷)分析。访谈采用扎根理论方法进行分析,特别是自下而上的分析,从而确定了五个主要类别,反映了教师在在线远程教学中的主要关注点(即社会、情感、认知、教学和系统支持。两个最突出的类别是教育学和情感,说明它们在教师体验中的中心地位。对问卷数据的回归分析显示,预测在线远程教学中积极和消极体验的两个主要变量是自我效能感和教师态度s走向教学中的技术整合。这项研究的结果允许制定指导方针,以促进在线远程教学中与积极体验相关的因素。
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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来源期刊
Computers & Education
Computers & Education 工程技术-计算机:跨学科应用
CiteScore
27.10
自引率
5.80%
发文量
204
审稿时长
42 days
期刊介绍: Computers & Education seeks to advance understanding of how digital technology can improve education by publishing high-quality research that expands both theory and practice. The journal welcomes research papers exploring the pedagogical applications of digital technology, with a focus broad enough to appeal to the wider education community.
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