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Explore factors influencing students' adaptability to online learning through machine learning techniques, including Random Forest, SVM, and Neural Networks. Identify key characteristics and develop predictive models to enhance online education experiences.
We create a dataset of salaries for full-time instructional staff for 1980, 1990, and 2001. The file contains variables for total salary outlays, number of staff, and average salary, and should be long by year, unitid (the institutional identifier), academic rank, contract length, and sex. The raw files contain different variables and are in a d…
Information and Communication Technology (ICT) in education has been continuously linked to higher efficiency, higher productivity, and higher educational outcomes, including quality of cognitive, creative and innovative thinking. In response to the global imperative of Education for All, and not willing to be left at lower side of ‘digital divi…
We analyze two student outcomes – student GPA and average ACT test score for 1000 12th graders at the given school district. Specifically, we want to understand, among all the information we know about these students – demographics (gender, ethnicity, special education status, age, household income, and performance index), AP course taking, GPA …