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O'Connell, Kyle A.; Wostl, Elijah; Crosslin, Matt; Berry, T. Lisa; Grover, James P. – Journal of Learning Analytics, 2018
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…
Descriptors: Mathematics Instruction, Algebra, College Students, College Mathematics
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Malm, Joakim; Bryngfors, Leif; Mörner, Lise-Lotte – European Journal of Engineering Education, 2015
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…
Descriptors: Foreign Countries, Engineering, Engineering Education, Supplementary Education
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Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
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…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals