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Exploring intensive longitudinal measures of student engagement in blended learning

机译:探索混合学习中学生参与度的强化纵向测量

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In this exploratory study we used an intensive longitudinal approach to measure student engagement in a blended educational technology course, collecting both self-report and observational data.? The self-report measure included a simple survey of Likert-scale and open-ended questions given repeatedly during the semester. Observational data were student activity data extracted from the learning management system.? We explored how engagement varied over time, both at the course level and between students, to identify patterns and influences of student engagement in a blended course. We found that clarity of instruction and relevance of activities influenced student satisfaction more than the medium of instruction.? Student engagement patterns observed in the log data revealed that exploring learning tools and previewing upcoming assignments and learning activities can be useful indicators of a successful learning experience.? Future work will investigate these findings on a larger scale.
机译:在这项探索性研究中,我们使用密集的纵向方法来衡量学生在混合教育技术课程中的参与度,同时收集自我报告和观察数据。自我报告的量度包括对李克特量表的简单调查和在学期中反复提出的开放性问题。观察数据是从学习管理系统中提取的学生活动数据。我们探索了在课程级别和学生之间的参与度如何随时间变化,以识别混合课程中学生参与度的模式和影响。我们发现教学的清晰度和活动的相关性比教学的媒介对学生满意度的影响更大。在日志数据中观察到的学生参与模式表明,探索学习工具以及预览即将到来的作业和学习活动可以作为成功学习​​经验的有用指标。未来的工作将更大规模地调查这些发现。

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