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Innovative Analytical Assessment: The Relationship Between English E-assessment CBT Scores and Traditional Methods of Assessment

机译:创新分析评估:英语电子评估与传统评估方法之间的关系

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King Saud University’s (KSU) Preparatory Year (PY) examines around 12,000 students per year. The sole objective of the PY is to enable students to progress to the main campus of KSU and complete their degrees; and the main focus of its program is English language acquisition, through the English Language Skills Department (ELSD). Examining such a large number of students every year puts a strain on the resources of the faculty as a whole. As a consequence, maximizing the efficiency of the examination process is of paramount concern. Computer-based testing (CBT) is an extremely effective way of monitoring the knowledge acquisition of a large body of students. Alongside the CBT the PY also implements a speaking and writing examination for the ELSD. This study finds, through a quantitative analysis of statistical data collected from the results of ELSD Humanities students’ PY examinations, and multiple regression analysis, a high degree of correlation between the demonstration of proficiencies in the speaking and writing examinations and that of the CBT. This study proposes to measure students’ English proficiency through the exclusive use of CBT assessment. Schema theory is utilized to illustrate how the acquisition and organization of knowledge by students can be analyzed effectively. The study takes account of research to date in the field of Instructional Design and Technology to identify the need for learning solution through analysis. The study calls for further research to identify elements of ESL examinations that are overly tedious and inefficient in determining linguistic competencies, using a regression statistical model. It also calls for a more sophisticated statistical analysis, to explore the interrelations in language skills in more detail in order to provide the most rigorous and relevant evaluative framework.
机译:国王沙特大学(KSU)预备年度(PY)每年审查约12,000名学生。 PY的唯一目标是使学生能够进入KSU的主要校园并完成学位;其计划的主要重点是英语习得,通过英语语言技能部门(elsd)。每年审查这么大的学生对整个教师的资源进行了压力。结果,最大化考试过程的效率是最重要的关注。基于计算机的测试(CBT)是一种非常有效的方式,监控知识获取大量学生。除了CBT,PY还可以实现ELSD的发言和写作考试。本研究发现,通过从ELSD人文学生的PY考试结果中收集的统计数据的定量分析,以及多元回归分析,在说话和写作考试和CBT中的潜在型突发事件之间的高度相关性。本研究建议通过独家使用CBT评估来衡量学生的英语水平。模式理论用于说明学生的收购和组织如何有效地分析。该研究考虑了迄今为止教学设计和技术领域的研究,以通过分析确定对学习解决方案的需求。该研究要求进一步研究,以确定使用回归统计模型确定语言能力的ESL考试的要素,这是过度繁琐的,效率低下。它还要求更复杂的统计分析,更详细地探讨语言技能的相互关系,以便提供最严格和相关的评价框架。

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