EXAMINING STUDENT RETENTION WITH DATA ANALYTICS
| Main Author: | Charles E. Downing. |
|---|---|
| Format: | Article |
| Terbitan: |
, 2018
|
| Subjects: | |
| Online Access: |
https://zenodo.org/record/1154629 |
Daftar Isi:
- Student retention is a critical issue for institutions today. As students have increasing options for educational and career opportunities, institutions need to engage and retain students so they complete their degrees. Simultaneously, the need for Data Analytics knowledge and talent is exploding in the Information Systems field. This paper aims to utilize prevalent Data Analytics techniques using the open source software packages R and RStudio to examine characteristics important for student retention. K-means clustering and Decision Tree analyses were conducted to tell the story of student retention. Data used was collected in a large Freshmen class at a public institution. Results show that the perceived atmosphere at the institution, a student?s GPA, and lack of financial pressure are critical factors for retention. Other factors are also important and discussed. Suggestions are offered to increase student retention.