Can Computational Thinking Predict Academic Performance?
Document Type
Conference Proceeding
Publication Date
3-7-2015
Publication Title
IEEE Integrated STEM Education Conference (ISEC)
DOI
10.1109/ISECon.2015.7119929
Abstract
This paper introduces the notion of predicting academic performance based on Computational Thinking. The integral role that Computational Thinking modalities play in engineering disciplines can serve as an accurate indicator of the student future academic success. Therefore, this study investigated the students' performance in a Computational Thinking course offered at the freshman level to predict student academic success. To achieve this goal, a two-year study of the correlation between the students' accumulative grade point averages and their grades obtained in this course was conducted. The performance of nine hundred and eighty two students in forty sections was assessed over the two-year period. It was concluded that the students' future academic performance is strongly correlated to their Computational Thinking skills assessed at the freshman level. This clearly suggests the viability of using Computational Thinking skills as a fairly accurate predictor of students' academic success. These results have also implied that the assessment of Computational Thinking can be used as an early intervention tool to improve the students' retention, progression, and graduation rates in STEM related disciplines.
Recommended Citation
Haddad, Rami J., Youakim Kalaani.
2015.
"Can Computational Thinking Predict Academic Performance?."
IEEE Integrated STEM Education Conference (ISEC) Princeton, NJ.
doi: 10.1109/ISECon.2015.7119929
https://digitalcommons.georgiasouthern.edu/electrical-eng-facpubs/31
