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Bahr, Peter Riley; Fagioli, Loris; Hayward, Craig; Hetts, John; Lamoree, Daniel; Newell, Mallory Angeli; Nguyen, Alyssa; Sorey, Ken; Willett, Terrence – AERA Online Paper Repository, 2017
This paper discusses the result of a statewide research effort in California to improve the accuracy of student placement in math and English in the California Community College system. We apply decision tree methods to high school and college transcript data to identify key measures of high school achievement that predict success in ten levels of…
Descriptors: Community Colleges, Two Year College Students, Student Placement, College Mathematics
Livingston, Shannon – ProQuest LLC, 2017
Using self-determination theory (Deci & Ryan, 1985) as the theoretical framework, this study explored how high-school GPA and motivation contributed to academic performance and persistence among students enrolled in developmental-education courses during the fall of 2016 at a two-year technical college in the Midwest. A non-random purposive…
Descriptors: High School Students, Grade Point Average, Academic Achievement, Academic Persistence
Pampaka, Maria; Williams, Julian; Hutcheson, Graeme – British Educational Research Journal, 2012
Previously we showed how we measured pedagogy and revealed its association with learning outcomes of sixth-form college mathematics students. In this project we followed a similar approach to the study of university transition. We particularly sought to identify the students' perceptions of the transitional experience, and measure the association…
Descriptors: Academic Achievement, Student Attitudes, College Mathematics, Transitional Programs
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection

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