Analysis of emergency remote teaching in formal education: crosschecking three contemporary techno-pedagogical frameworks

IF 1.9 Q2 EDUCATION & EDUCATIONAL RESEARCH Research in Learning Technology Pub Date : 2023-05-12 DOI:10.25304/rlt.v31.2982
Ronen Kasperski, Erez Porat, I. Blau
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Abstract

During the COVID-19 pandemic outbreak many countries around the world were forced to turn to Emergency Remote Teaching (ERT) and upscale the use of digital technologies for learning, teaching and assessment. The current study analysed field reports from 89 elementary and secondary Hebrew-speaking and Arabic-speaking information and communication technology schools in Israel, representing the cultural, ethnic, and religious diversity of the education system. The qualitative analysis of the collected data was based on three well established contemporary models of technology integration and Digital Competence of Educators (DigCompEdu): the International Society for Technology in Education, Technological Pedagogical Content Knowledge and DigCompEdu. The analysis (n = 872 statements) yielded aspects in the teachers' reports that correspond with the theoretical models, along-side aspects that extend these models to ERT and aspects that were missing from the reports. Finally, based on our findings and previous work we suggested a comprehensive framework for ERT that can be used to design teachers' professional development necessary for effective remote teaching in both emergency and routine times. © 2023, Association for Learning Technology. All rights reserved.
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正规教育中的应急远程教学分析:当代三种技术教学框架的交叉检验
在2019冠状病毒病大流行期间,世界上许多国家被迫转向紧急远程教学(ERT),并将数字技术用于学习、教学和评估。目前的研究分析了以色列89所讲希伯来语和阿拉伯语的小学和中学信息和通信技术学校的实地报告,代表了教育系统的文化、种族和宗教多样性。对收集到的数据进行定性分析是基于三个成熟的当代技术整合和教育者数字能力模型(DigCompEdu):国际教育技术学会、技术教学内容知识和DigCompEdu。分析(n = 872条陈述)得出了教师报告中与理论模型相对应的方面,以及将这些模型扩展到ERT的方面和报告中缺失的方面。最后,基于我们的研究结果和之前的工作,我们提出了一个全面的远程教学框架,可以用来设计教师的专业发展,在紧急和日常时间进行有效的远程教学。©2023,学习技术协会。版权所有。
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来源期刊
Research in Learning Technology
Research in Learning Technology EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
6.50
自引率
0.00%
发文量
13
审稿时长
20 weeks
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