Predictive Analytics Approach to Improve and Sustain College Students’ Non-Cognitive Skills and Their Educational Outcome
John C. Yi,
Christina D. Kang-Yi,
Flavia Burton and
H. David Chen
Additional contact information
John C. Yi: Department of Decision and System Sciences, Haub School of Business, Saint Joseph’s University, Philadelphia, PA 19131, USA
Christina D. Kang-Yi: Center for Mental Health Policy and Services Research, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19131, USA
Flavia Burton: Department of Decision and System Sciences, Haub School of Business, Saint Joseph’s University, Philadelphia, PA 19131, USA
H. David Chen: Department of Decision and System Sciences, Haub School of Business, Saint Joseph’s University, Philadelphia, PA 19131, USA
Sustainability, 2018, vol. 10, issue 11, 1-14
Abstract:
The application of predictive analytics in higher education has increasingly gained acceptance and interest over the years. In this study, a predictive model is developed to map students’ non-cognitive skills against their class performance. Our predictive analytics model identified the non-cognitive skills that predicted new students’ class performance based on the dataset collected early in the semester. Based on the predictive analytics results, tailored teaching to improve students’ non-cognitive skills was offered in a required class designed for undergraduate business students. The improvement in the average final semester grade for students in the tailored-taught classes based on our predicted analytics approach was 9%, which was higher than that of the class grade taught without the approach. The study finding also demonstrates a long-term, sustainable positive effect to the students with the predictive analytics approach.
Keywords: predictive analytics; tailored teaching; non-cognitive skills (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:10:y:2018:i:11:p:4012-:d:180056
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