Historical student data can help elucidate the factors that promote student success in mathematics courses. Herein we use both multiple regression and principal component analyses to explore ten years of historical data from over 20,000 students in an introductory college-level Algebra course in an urban American research university with a diverse…

Background/Context: Transfer is a core function of community colleges; this is a critical point given that these institutions serve as the primary pathway into postsecondary education for Black men. However, too few Black men identify transfer as a primary goal and/or eventually transfer to a 4-year college or university.…

This quantitative study examined first-year university and community college students who were former Advancement Via Individual Determination (AVID) high school students. Participants in this study were students from groups that are underrepresented in higher education. In the first sample of 329 graduates, grade point average and college credit…

The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…

For 224 freshmen students, the degree of relationship was sought between two criterion measures (grade point average (GPA) and units satisfactorily completed) and four cognitive and eleven affective variables. High school GPA was the most valid predictor; affective variables explained only 40-60 percent as much variance as high school GPA.…