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Edwards, John; Hart, Kaden; Shrestha, Raj – Journal of Educational Data Mining, 2023
Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…
Descriptors: Data Analysis, Computer Science Education, Learning Analytics, Research Methodology
Hui, Mary Margaret – ProQuest LLC, 2017
First-generation college students are students whose parents do not have a college degree, and they face numerous barriers in college. Yet, several first-generation college students (FGCS) are successful and are on-track to graduate with a bachelor's degree in four years. Their success is important because education is associated with increased…
Descriptors: First Generation College Students, Achievement Gap, Success, Mixed Methods Research
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Hunter, Gerald P.; Williamson, Stephanie; Wilks, Asa; Hanley, Janet M.; Stecher, Brian M. – RAND Corporation, 2020
The Intensive Partnerships for Effective Teaching initiative, which was funded by the Bill & Melinda Gates Foundation, was a multiyear effort to improve student outcomes--particularly high school graduation and college attendance among low-income minority students--by increasing student access to effective teaching. The RAND Corporation worked…
Descriptors: Data Collection, Data Use, Instructional Effectiveness, Teacher Effectiveness
Brown, Alanka P. – ProQuest LLC, 2009
The purpose of this study was to identify the nonacademic reasons that preclude African American males from enrolling in college after high school completion. The examination of this study evolved as a result of an abundance of African American males choosing not to enroll in college after completing high school. A mixed-methods research design…
Descriptors: African American Students, Males, College Attendance, Enrollment