EconPapers    
Economics at your fingertips  
 

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
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/2071-1050/10/11/4012/pdf (application/pdf)
https://www.mdpi.com/2071-1050/10/11/4012/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:10:y:2018:i:11:p:4012-:d:180056

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jsusta:v:10:y:2018:i:11:p:4012-:d:180056