| Title |
Predictive Analytics Approach to Improve and Sustain College Students' Non-Cognitive Skills and Their Educational Outcome |
| ID_Doc |
76456 |
| Authors |
Yi, JC; Kang-Yi, CD; Burton, F; Chen, HD |
| Title |
Predictive Analytics Approach to Improve and Sustain College Students' Non-Cognitive Skills and Their Educational Outcome |
| Year |
2018 |
| Published |
Sustainability, 10, 11 |
| DOI |
10.3390/su10114012 |
| 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. |
| Author Keywords |
predictive analytics; tailored teaching; non-cognitive skills |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000451531700186 |
| WoS Category |
Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies |
| Research Area |
Science & Technology - Other Topics; Environmental Sciences & Ecology |
| PDF |
https://www.mdpi.com/2071-1050/10/11/4012/pdf?version=1541138439
|