{"title":"数据驱动决策的学习分析","authors":"Abdulrahman M. Al-Zahrani, Talal Alasmari","doi":"10.4018/ijopcd.331751","DOIUrl":null,"url":null,"abstract":"This study examines the use of learning analytics to enhance instructional personalization and student engagement in online higher education. The research focuses on the engagement levels of students based on different access methods (mobile and non-mobile), the relationships among engagement indicators, and the strategies for instructional personalization. Quantitative research methodology is employed to analyse and measure students' engagement levels. The findings indicate that students using non-mobile devices exhibit higher engagement in terms of average minutes, item accesses, and content accesses, while mobile access shows higher engagement in terms of course accesses, course interactions, and average interactions. Significant correlations are observed among engagement indicators, highlighting the importance of course interactions, content accesses, and assessment accesses in promoting student engagement. Accordingly, a critical model for effective student engagement in online learning courses is proposed.","PeriodicalId":53981,"journal":{"name":"International Journal of Online Pedagogy and Course Design","volume":null,"pages":null},"PeriodicalIF":0.3000,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Learning Analytics for Data-Driven Decision Making\",\"authors\":\"Abdulrahman M. Al-Zahrani, Talal Alasmari\",\"doi\":\"10.4018/ijopcd.331751\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study examines the use of learning analytics to enhance instructional personalization and student engagement in online higher education. The research focuses on the engagement levels of students based on different access methods (mobile and non-mobile), the relationships among engagement indicators, and the strategies for instructional personalization. Quantitative research methodology is employed to analyse and measure students' engagement levels. The findings indicate that students using non-mobile devices exhibit higher engagement in terms of average minutes, item accesses, and content accesses, while mobile access shows higher engagement in terms of course accesses, course interactions, and average interactions. Significant correlations are observed among engagement indicators, highlighting the importance of course interactions, content accesses, and assessment accesses in promoting student engagement. Accordingly, a critical model for effective student engagement in online learning courses is proposed.\",\"PeriodicalId\":53981,\"journal\":{\"name\":\"International Journal of Online Pedagogy and Course Design\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2023-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Online Pedagogy and Course Design\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/ijopcd.331751\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Online Pedagogy and Course Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijopcd.331751","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
Learning Analytics for Data-Driven Decision Making
This study examines the use of learning analytics to enhance instructional personalization and student engagement in online higher education. The research focuses on the engagement levels of students based on different access methods (mobile and non-mobile), the relationships among engagement indicators, and the strategies for instructional personalization. Quantitative research methodology is employed to analyse and measure students' engagement levels. The findings indicate that students using non-mobile devices exhibit higher engagement in terms of average minutes, item accesses, and content accesses, while mobile access shows higher engagement in terms of course accesses, course interactions, and average interactions. Significant correlations are observed among engagement indicators, highlighting the importance of course interactions, content accesses, and assessment accesses in promoting student engagement. Accordingly, a critical model for effective student engagement in online learning courses is proposed.
期刊介绍:
The mission of the International Journal of Online Pedagogy and Course Design (IJOPCD) is to provide a platform for the latest research, analysis, and development of online education, effective online teaching methods, and course design. IJOPCD covers the pedagogical design aspects of science education and computing education, as well as courses supported by educational technologies. Targeting academic researchers and educators who work in the field, this journal focuses on the importance of developments in online course design and teaching methods to improve teachers’ teaching and students’ learning. Researchers are encouraged to submit cross-disciplinary, high-quality syntheses that are interesting, beneficial, and apprehensible to all those interested in or teaching science and related disciplines. Topics to be discussed in this journal include (but are not limited to) the following: -Adoption of e-learning -Best practices in computing education -Best practices in science education -Blended learning -Computer-mediated communication -E-learning -Emerging technologies -Evaluation of learning technology systems -Evaluation of online learning effects -Learning management systems -Multimedia and interactive learning systems -Online course design -Online learners’ behavior -Pedagogy and teaching with technology -Virtual reality environments -Web-based teaching methods