Abstract
Higher education institutions have prioritized supporting undecided students with their major and career decisions for decades. This study used a U.S. public research-focused university’s large-scale institutional data set and undecided student’s retention and graduation rate predictors to demonstrate how to couple student and institutional data with predictive analytics to understand the different demographics, academic characteristics, and the number of major changes between undecided and decided students. This study helps practitioners take the first step in using data analytics to inform decision-making in academic advising and supporting undecided students’ academic success.
| Original language | English |
|---|---|
| Pages (from-to) | 824-849 |
| Number of pages | 26 |
| Journal | Journal of College Student Retention: Research, Theory and Practice |
| Volume | 23 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Feb 2020 |
| Externally published | Yes |
Keywords
- academic success
- data analytics
- major changes
- undecided students