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…

Supplemental Instruction (SI) is a programme that is attached to difficult courses with the objective of increasing student performance and retention. However, an SI programme also has the potential to increase overall student performance and retention during the first critical year if applied to introductory courses. In this study the latter…

The study presents an evaluation of the SI program in five engineering programs within the Faculty of Engineering (LTH) based on data from questionnaires to SI participants and SI-Leaders, credits taken by the students during the first year, and average grade data from high school for the first year students. The results show that participation in…

The number of contact hours, one of the important institutional context factors, was examined and compared between Dutch and Vietnamese higher education at institute and student levels in Psychology and Business and/or Economics specializations. The quantity of contact hours per credit point given by institutions was investigated in a number of…

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…