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Published in:
2021 | OriginalPaper | Chapter
Computational Thinking and Flipped Classroom Model for Upper-Division Computer Science Majors
Authors : Antonio-Angel L. Medel, Anthony C. Bianchi, Alberto C. Cruz
Published in: Advances in Software Engineering, Education, and e-Learning
Publisher: Springer International Publishing
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Abstract
Graduation rates are generally low among undergraduate Computer Science (CS) majors, so we are motivated to employ flipped classroom model at CSUB to improve 4-year graduation rates. There is a plethora of literature supporting improved information retention using the flipped classroom model. However, its impact on upper-division core CS courses has been understudied. An active learning environment using Just-in-Time-Teaching (JiTT), pair instruction, and computational thinking has been implemented in this study. This flipped classroom model was applied to two upper-division CS courses, Computer Architecture II and Artificial Intelligence. A year-long study measured the impact on performance through surveys, performance on group activities, and class performance such as test scores, with comparison to a control population (non-flipped classroom class) normalized for a specific instructor. An increased student performance and ultimately better graduation rates among the 40 flipped classroom model students is anticipated.