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Leveraging online engagement data to predict student performance

 Department:Computer Science  
 By:usericon Jaymeg  

 Project ID: 8562
 Rating:  (5.0) votes: 1
   Price:₦5000
Abstract
This paper makes use of online engagement data to predict student performance, integrating quantitative and qualitative data to provide an overall understanding of the dynamics involved in the factors that influence students' engagement, motivations, and performances. The sample comprises students drawn from varied educational settings. Data on attendance and participation, instructional strategies, and use of digital tools were collected through surveys and interviews. The quantitative analyses revealed a strong correlation between interactive teaching methods and increasing motivation among the students, as well as a positive relationship between regular attendance and academic performance. Qualitative findings reflect students' expressed preferences and difficulties and bring focus to the role of social interaction and support during learning. The integration of the data sets underlined that active learning strategies were effective, though there would be a need for tailored instructional approaches to meet diverse students' needs. This study brings to educators and policymakers valuable lessons on the dynamism of teaching methods and the thoughtful integration of technology in promoting good student behavior and improvement in learning outcomes....
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