统计学入门课程中的双模式交付:设计与评估

IF 2.2 Q3 Social Sciences Journal of Statistics Education Pub Date : 2019-05-04 DOI:10.1080/10691898.2019.1608874
Tommy Soesmanto, S. Bonner
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引用次数: 12

摘要

摘要近年来,澳大利亚高等教育部门在大学和高等学位教育提供者的课程提供中逐步适应了双重模式体系。在这样的系统中,学生可以选择并灵活地在面对面(F2F)环境和/或在线环境中学习相同的课程。本文对格里菲斯大学一年级商业统计课程的双模式设计进行了评估。在本文中,我们讨论了课程中双模式设计的各个方面,强调对F2F和在线学生群体使用一致的教学策略。此外,我们还对双模式系统中两个队列的学习满意度和学习成绩进行了比较分析。使用t检验、非参数检验和倾向得分匹配估计,我们为双模课程设计提供了新的见解。我们的研究结果表明,学生的经历和结果没有显著差异。本文的讨论和分析有助于进一步改进双模式课程的教学策略。
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Dual Mode Delivery in an Introductory Statistics Course: Design and Evaluation
Abstract In recent years, the Australian tertiary education sector embraced the gradual adaption of the dual mode system in course delivery in universities and higher degree education providers. In such systems, students have the option, as well as the flexibility, to undertake the same course in a face-to-face (F2F) environment and/or an online environment. This article presents an evaluation of the dual mode design of a first-year business statistics course delivered at the Griffith University. In this article, we discuss the various aspects of the dual mode design in the course, emphasizing the use of consistent teaching strategies for the F2F and online student cohorts. Moreover, we present a comparative analysis of learning satisfaction and academic performance of the two cohorts within the dual mode system. Using t-tests, nonparametric tests, and propensity score matching estimators we provide new insights into dual mode course design. Our results suggest no significant difference in student experiences and outcomes. Discussion and analysis presented in this article is useful as feedback for further improvement in teaching strategies in the delivery of dual mode courses.
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来源期刊
Journal of Statistics Education
Journal of Statistics Education EDUCATION, SCIENTIFIC DISCIPLINES-
CiteScore
1.20
自引率
0.00%
发文量
0
审稿时长
12 weeks
期刊介绍: The "Datasets and Stories" department of the Journal of Statistics Education provides a forum for exchanging interesting datasets and discussing ways they can be used effectively in teaching statistics. This section of JSE is described fully in the article "Datasets and Stories: Introduction and Guidelines" by Robin H. Lock and Tim Arnold (1993). The Journal of Statistics Education maintains a Data Archive that contains the datasets described in "Datasets and Stories" articles, as well as additional datasets useful to statistics teachers. Lock and Arnold (1993) describe several criteria that will be considered before datasets are placed in the JSE Data Archive.
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