基于Edmodo应用的学术监督模型

IF 1.2 4区 教育学 Q3 EDUCATION, SPECIAL
Maria Marta Wulan, Sukma Dewi, Yari Dwikurnaningsih, Marinus Waruwu, Kata Kunci
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引用次数: 0

摘要

新冠肺炎疫情对学术监督的实施产生了影响。本研究旨在建立一个基于网络的学术监督模式。所进行的研究类型是研究和发展(研究和发展)。研究对象为4名校长和17名小学教师。使用的数据收集技术包括访谈、文献研究和问卷调查。定性数据采用Miles和Huberman模型进行分析。通过问卷调查获得的定量数据。定量数据通过验证试验和有限试验进行分析,采用带有平均值和百分比的定量描述技术。结果表明,玛丽亚学术监督模型(M -映射,A -安排解决方案,运行观察,R - I -识别数据,A -代理跟进)基于Edmodo应用影响性能的改善学校校长和techers elemantary学校,结果有限的产品试验学校校长在88%的水平,techers在86%的水平非常有效和可行的分类使用。本研究旨在促进资讯科技督导的实施,改善校长的绩效,提高教师的学习能力,以及减轻教师在受督导时的压力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Academic Supervision Model Based on Edmodo Application
The Covid 19 pandemic has had an impact on the implementation of academic supervision. This study aims to develop an online-based academic supervision model. The type of research conducted is research and development (Research and Development). The research subjects were 4 (four) school principals and 17 (seventeen) elementary school teachers. Data collection techniques used were interviews, documentation studies, and questionnaires. Qualitative data were analyzed using the Miles and Huberman model. Quantitative data obtained through a questionnaire. Quantitative data were analyzed by validation tests and limited trials using quantitative descriptive techniques with mean and percentage. The results showed that the MARIA academic supervision model (M - Mapping, A - Arranging the solution, R - Running the observation, I - Identifying the data, A – Acting the follow up) based on the Edmodo application has an impact on improving the performance of school principals and techers in elemantary schools, with the result of limited product trials on school principals at the 88% level and techers at the 86%  level with a very valid and feasible category to use. The implications of this research were facilitating the implementation of information technology-based supervision, improving the performance of school principals, increasing teacher competence in carrying out learning, and reducing teacher stress when supervised.
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来源期刊
CiteScore
3.90
自引率
15.80%
发文量
31
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