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Event Type
Research Presentation
Academic Department
Mathematics and Statistics
Location
Dana Science Building, 2nd floor
Start Date
14-4-2023 1:30 PM
End Date
14-4-2023 3:00 PM
Description
Under the direction of Dr. Giancarlo Schrementi
School dropout and academic failure in higher education has an adverse effect on students and their families, higher education institutions, and society at large. The data collected by higher education institutions on their students provides opportunities to investigate factors that might impact student success. The dataset investigated in this work consists of demographic, socioeconomic, macroeconomic, and academic data on enrollment and academic achievement of students at the conclusion of the first and second semesters. The data is analyzed to determine whether social factors impact their academic success by employing the Chi-Squared Test of Independence. This test determines whether variables are related to each other or independent and assesses if results in data are unexpected or expected. This is accomplished by comparing observed values to theoretically expected values. Educational researchers who wish to compare student academic achievement may benefit from this research. This research can further be applied through various intersectional lenses to determine the magnification/minimization of these factors contributing to the academic success of marginalized communities such as international students.
Social Factors Contributing to Academic Success: A Statistical Analysis
Dana Science Building, 2nd floor
Under the direction of Dr. Giancarlo Schrementi
School dropout and academic failure in higher education has an adverse effect on students and their families, higher education institutions, and society at large. The data collected by higher education institutions on their students provides opportunities to investigate factors that might impact student success. The dataset investigated in this work consists of demographic, socioeconomic, macroeconomic, and academic data on enrollment and academic achievement of students at the conclusion of the first and second semesters. The data is analyzed to determine whether social factors impact their academic success by employing the Chi-Squared Test of Independence. This test determines whether variables are related to each other or independent and assesses if results in data are unexpected or expected. This is accomplished by comparing observed values to theoretically expected values. Educational researchers who wish to compare student academic achievement may benefit from this research. This research can further be applied through various intersectional lenses to determine the magnification/minimization of these factors contributing to the academic success of marginalized communities such as international students.