Impact of interactivity on learning outcome in online learning settings: Ordinal logit model

IF 4.9 Q1 BUSINESS
Byung-Hak Leem
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Abstract

The study aimed to investigate the relationship between content, teaching, and LMS platform, and student achievement in online classes. To accomplish this, the study drew upon the transactional distance theory and the community of inquiry framework. Using log data from the LMS platform, the study analyzed the impact of student-faculty interaction, student-content interaction, and student-systems interaction on learning outcomes. The sample consisted of online classes offered in the Department of International Marketing at B University in Korea during the spring semester of 2022. The study specifically targeted classes with 40 or more students to ensure an adequate sample size. The researchers used parallelism tests to confirm the validity of the research model, followed by a goodness of fit test with an ordinal Logit model. The results indicated that all three factors of interaction (content, teaching, and platform) had a significant positive effect on learning outcomes, while student-Zoom interaction did not. The interaction between learners and content was found to be the most important predictor of learning achievement, suggesting that student engagement with course materials plays a crucial role in their academic success. The study’s findings have important implications for educators who are interested in improving online teaching and learning. The study recommends expanding the empirical analysis of the research model from the existing structural equation or multiple regression model to the ordinal logit model to provide a more comprehensive understanding of the impact of these factors on student achievement. Overall, the study highlights the importance of considering the complex interaction between content, teaching, and platform in designing and delivering effective online courses that promote student engagement and achievement.
互动性对在线学习结果的影响:序数logit模型
本研究旨在探讨在线课程的内容、教学和LMS平台与学生成绩之间的关系。为此,本研究借鉴了交易距离理论和探究共同体框架。利用LMS平台的日志数据,本研究分析了师生互动、学生内容互动和学生系统互动对学习成果的影响。样本包括韩国B大学国际营销系在2022年春季学期开设的在线课程。这项研究专门针对40名或更多学生的班级,以确保足够的样本量。研究人员使用平行检验来确认研究模型的有效性,然后使用有序Logit模型进行拟合优度检验。结果表明,互动的三个因素(内容、教学和平台)对学习成果都有显著的正向影响,而学生与zoom的互动对学习成果没有显著的正向影响。学习者和内容之间的互动被发现是学习成就最重要的预测因素,这表明学生对课程材料的参与在他们的学业成功中起着至关重要的作用。这项研究的发现对那些对改善在线教学感兴趣的教育工作者有重要的意义。本研究建议将研究模型的实证分析从现有的结构方程或多元回归模型扩展到有序logit模型,以更全面地了解这些因素对学生成绩的影响。总体而言,该研究强调了在设计和交付有效的在线课程时,考虑内容、教学和平台之间复杂的相互作用的重要性,这些课程可以促进学生的参与度和成就。
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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来源期刊
CiteScore
7.50
自引率
6.10%
发文量
17
审稿时长
15 weeks
期刊介绍: The International Journal of Engineering Business Management (IJEBM) is an international, peer-reviewed, open access scientific journal that aims to promote an integrated and multidisciplinary approach to engineering, business and management. The journal focuses on issues related to the design, development and implementation of new methodologies and technologies that contribute to strategic and operational improvements of organizations within the contemporary global business environment. IJEBM encourages a systematic and holistic view in order to ensure an integrated and economically, socially and environmentally friendly approach to management of new technologies in business. It aims to be a world-class research platform for academics, managers, and professionals to publish scholarly research in the global arena. All submitted articles considered suitable for the International Journal of Engineering Business Management are subjected to rigorous peer review to ensure the highest levels of quality. The review process is carried out as quickly as possible to minimize any delays in the online publication of articles. Topics of interest include, but are not limited to: -Competitive product design and innovation -Operations and manufacturing strategy -Knowledge management and knowledge innovation -Information and decision support systems -Radio Frequency Identification -Wireless Sensor Networks -Industrial engineering for business improvement -Logistics engineering and transportation -Modeling and simulation of industrial and business systems -Quality management and Six Sigma -Automation of industrial processes and systems -Manufacturing performance and productivity measurement -Supply Chain Management and the virtual enterprise network -Environmental, legal and social aspects -Technology Capital and Financial Modelling -Engineering Economics and Investment Theory -Behavioural, Social and Political factors in Engineering
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