Conference Session

Data Analysis and Assessment

Collection

2015 ASEE Annual Conference & Exposition

Authors

Cory Brozina, Virginia Tech; David B. Knight, Virginia Tech, Department of Engineering Education

Tagged Divisions

Computers in Education

wasfirst processed through R, an open-source statistical package, in which scripts of code werewritten to clean the large amount of data. Once data were cleaned and processed, we were able toconduct statistical analyses that addressed the two research questions.The study population (post-data cleaning) consists of 876 students in freshman engineering fromFall 2013 at a large, Mid-Atlantic research university. Students who opted-out of having theirdata part of the on-going research project were removed from the data set. Additionally, anystudent who did not receive a final grade (A, B, C, D/F, W) in the course was also removed.Course StructureThe first-year engineering course analyzed for this study, Course X, consisted of twocomponents: 1) a