数据驱动决策的学习分析

IF 0.3 Q4 EDUCATION & EDUCATIONAL RESEARCH
Abdulrahman M. Al-Zahrani, Talal Alasmari
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引用次数: 0

摘要

本研究探讨了在线高等教育中使用学习分析来提高教学个性化和学生参与度的方法。研究的重点是基于不同访问方式(移动和非移动)的学生参与水平,参与指标之间的关系,以及教学个性化的策略。采用定量研究方法分析和测量学生的参与水平。研究结果表明,使用非移动设备的学生在平均时间、项目访问和内容访问方面表现出更高的参与度,而使用移动设备的学生在课程访问、课程互动和平均互动方面表现出更高的参与度。在参与指标之间观察到显著的相关性,突出了课程互动、内容访问和评估访问在促进学生参与方面的重要性。因此,本文提出了一个有效的学生参与在线学习课程的关键模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
52
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
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