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

机译:在线交付能否在不同的计算机科学课程中获得可比的课程成绩和学生成功率?

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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:本文研究了以下提出的研究问题的可靠答案:不断变化的课程内容和难度水平是否会影响课程预期学习成果的实现以及学生的成功水平?介绍了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发现。比较了两门在线课程,一门入门编程课与一门计算机知识课。本文采用了两个不同的数据集。收集第一组,然后进行分析,以比较研究组中预期学习成果(ILO)的成就水平。将国际劳工组织的成就水平表示为EAMU向量,然后在比较中共同使用。使用卡方检验和t检验对这些向量进行统计分析表明,两组之间在统计学上没有显着差异。第二个数据集用于直接衡量和比较代表学生成功​​的许多因素。大多数成功度量的结果表明,除入门编程组中较高的退出率和资源利用水平外,两组之间没有统计学上的显着差异。讨论了获得的结果以及这些发现如何支持在线交付的有效性。

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