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AI In Academia: Forecasting Student Dropouts
International Journal Of Scientific Research In Engineering & TechnologyStudent dropout is a major challenge in higher education, often linked to academic, demographic, and socioeconomic factors. This study uses machine learning techniques to predict student dropout and support early intervention. A dataset containing attributes like attendance, CGPA, internet access, parental education, and socioeconomic status was ...
Dr. Deepali Y. Kirange +1 more
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Modeling Student Dropout in Tutoring Systems
2014Intelligent tutors have been shown to be almost as effective as human tutors in supporting learning in many domains. However, the construction of intelligent tutors can be costly. One way to address this problem is to use previously collected data to generate models to provide intelligent feedback to otherwise non-personalized tutors.
Michael Eagle, Tiffany Barnes
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Dropout Rates for High School Students
The Future of Children, 1992n this, the second issue of The Future of Children, we introduce Child Indicators as a regular feature of the journal. Because key statistical indicators provide us with a picture of the well-being of children, we believe those indicators can be an important guide in developing and implementing effective policies.
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A Survey of Machine Learning Approaches for Student Dropout Prediction in Online Courses
ACM Computing Surveys, 2021Bardh Prenkaj +2 more
exaly