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Can online delivery result in comparable achievement of course outcomes and student success in different computer science courses?

机译:在线交付可以在不同的计算机科学课程中取得同类成果和学生成功的同类成就吗?

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This paper investigates reliable answers to the following proposed research questions: Will changing course contents and difficulty levels affect the achievement of course intended learning outcomes and the levels of students' success? Detailed analyses and findings of a proposed course assessment framework that primarily uses direct assessment techniques are presented. Two online courses are compared, an introductory programming class versus a computer literacy one. The paper employs two different data sets. The first set are collected then analyzed to compare the levels of achievement of Intended Learning Outcomes (ILOs) across the studied groups. ILO achievement levels are represented as EAMU vectors then used collectively in the comparison. Statistical analyses of these vectors using both Chi-square and t-tests have shown that there are no statistically significant differences between the two groups. The second data set is used to directly measure and compare a number of factors representing students' success. The obtained results for the majority of success measures denoted that there are no statistically significant differences between the two groups except for withdrawal rate and resource utilization levels which were higher in the introductory programming group. Discussions of the obtained results are provided along with how such findings can support the effectiveness of online delivery.
机译:本文调查了以下拟议研究问题的可靠答案:改变课程内容和难度水平会影响当然的课程学习成果和学生成功水平的成就吗?提出了一个主要使用直接评估技术的拟议课程评估框架的详细分析和调查结果。比较了两个在线课程,介绍性编程类与计算机识字级。本文采用了两个不同的数据集。收集第一组然后分析以比较所研究的群体中预期学习结果(iLOS)的成就水平。国际劳工组织成就水平表示为OAMU载体,然后在比较中共同使用。使用Chi-Square和T检验的这些载体的统计分析表明,两组之间没有统计学上显着的差异。第二个数据集用于直接测量并比较代表学生成功​​的一些因素。所获得的大多数成功措施的结果表示,除了介绍方案编制组中较高的撤出率和资源利用水平,两组之间没有统计学上显着的差异。提供了所获得的结果的讨论以及这些发现如何支持在线交付的有效性。

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