Longitudinal data on flipped class effects on performance in CS1 and retention after CS1

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Abstract

We present results of a college wide undergraduate retention study tracking student retention in computing, comparing students who experience a flipped, active learning version of CS1 against those who experience a traditional lecture and lab version of CS1. We examine demographic subgroups to understand retention differences between sexes and racial/ethnic groups. Specifically, we examine which students exit computing majors in the semester immediately after taking CS1, and those who leave following one academic year. This allows us to focus on how the immediate experience of the CS1 teaching approach impacts desire to continue in computer science during the critical first year in CS. Our dataset includes 698 CS majors who took CS1 in either the flipped or traditional style, between Fall 2013 and Fall 2016, at a large, comprehensive, urban research university in the US. Our results show that women were less likely to switch majors after taking the flipped version than after taking the traditional version. Conversely, male students were more likely to be retained following the traditional course, and less likely to be retained following the flipped course. Performance of CS majors in CS1, as measured by DFW rates, is statistically higher in the flipped classes than performance in the traditional classes. Oneyear retention in the major for under-represented groups (women and racial minorities) was higher in the flipped classes for new freshmen taking CS1, but not for transfer students.

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APA

Latulipe, C., Rorrer, A., & Long, B. (2018). Longitudinal data on flipped class effects on performance in CS1 and retention after CS1. In SIGCSE 2018 - Proceedings of the 49th ACM Technical Symposium on Computer Science Education (Vol. 2018-January, pp. 411–416). Association for Computing Machinery, Inc. https://doi.org/10.1145/3159450.3159518

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