{"title":"Impact of interactivity on learning outcome in online learning settings: Ordinal logit model","authors":"Byung-Hak Leem","doi":"10.1177/18479790231203107","DOIUrl":null,"url":null,"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.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"40 1","pages":"0"},"PeriodicalIF":4.9000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Engineering Business Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/18479790231203107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
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.
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