Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Academic Achievement | 1 |
| Accuracy | 1 |
| Achievement Gains | 1 |
| At Risk Students | 1 |
| Bayesian Statistics | 1 |
| Classification | 1 |
| Community Colleges | 1 |
| Models | 1 |
| Prediction | 1 |
| Two Year College Students | 1 |
Source
| Technology, Knowledge and… | 1 |
Author
| Ordonez, Carlos | 1 |
| Ornelas, Fermin | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| Two Year Colleges | 1 |
Audience
Location
| Arizona | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkOrnelas, Fermin; Ordonez, Carlos – Technology, Knowledge and Learning, 2017
This research focuses on developing and implementing a continuous Naïve Bayesian classifier for GEAR courses at Rio Salado Community College. Previous implementation efforts of a discrete version did not predict as well, 70%, and had deployment issues. This predictive model has higher prediction, over 90%, accuracy for both at-risk and successful…
Descriptors: Community Colleges, Classification, Prediction, Models
