Research study trends in web-supported evaluation tools for assessing inspectors, teachers, and students

Eser Çeker, H. Keser
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引用次数: 5

Abstract

Web-supported assessment tools for evaluating inspectors, teachers and students’ performance represent the main point of interest in this research. “Teacher”, “student”, “inspector”, “supervisor”, “assessment”, “web-based”, and “web supported” were used as keywords in the research. Various databases, such as EBSCO, Science Direct and ULAKBIM were scanned and the retrieved articles were used for in-depth investigation for the purposes of this research. In order to ensure that the focus was on recent data, only articles published between 1999 and 2015 were considered for the analysis. The ‘Purposeful Sampling Technique’ was used to gather data from these databases, with the result that 101 published articles were reached from 24 magazines and 50 electronic journals. After studying the articles reached using the content analysis technique, the researchers of this article determined that the content could be classified into 13 categories: the  “publication year”, “publication type”, “number of authors”, “academic position of the researcher”, “country where the research was conducted”, “researching/supporting university”, “application area in education”, “the way of stating the purpose of the study in the research”, “research model”, “the paradigm adopted”, “targeted audience composing the universe”, “data gathering tools used” and “research results”. All data gathered from the reached articles according to these 13 categories were then inputted into a database, which was analysed using the SPSS Statistics pack for specifying total numbers and percentages and comparing results regarding to certain variables, such as time.
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研究用于评估检查员、教师和学生的网络评估工具的研究趋势
网络支持的评估工具,以评估检查员,教师和学生的表现是本研究的主要兴趣点。“教师”、“学生”、“检查员”、“主管”、“评估”、“基于网络”和“网络支持”是研究的关键词。扫描各种数据库,如EBSCO、Science Direct和ULAKBIM,并将检索到的文章用于本研究的深入调查。为了确保重点放在最近的数据上,只考虑1999年至2015年之间发表的文章进行分析。使用“有目的的抽样技术”从这些数据库中收集数据,结果从24种杂志和50种电子期刊中获得101篇已发表的文章。本文的研究人员通过对使用内容分析技术达成的文章进行研究,确定内容可以分为13类:“发表年份”、“发表类型”、“作者人数”、“研究者学术地位”、“研究所在国”、“研究/支持大学”、“教育应用领域”、“研究目的陈述方式”、“研究模式”、“采用的范式”、“目标受众构成宇宙”、“使用的数据收集工具”和“研究成果”。根据这13个类别收集到的文章的所有数据,然后输入到数据库中,使用SPSS统计软件包进行分析,以指定总数和百分比,并比较有关某些变量的结果,如时间。
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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