Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Academic Persistence | 2 |
| Database Design | 2 |
| Academic Achievement | 1 |
| Artificial Intelligence | 1 |
| At Risk Students | 1 |
| Course Content | 1 |
| Course Objectives | 1 |
| Data Analysis | 1 |
| Disproportionate… | 1 |
| Educational Planning | 1 |
| Engineering Education | 1 |
| More ▼ | |
Source
| Grantee Submission | 1 |
Publication Type
| Collected Works - Proceedings | 1 |
| Reports - Descriptive | 1 |
| Reports - Research | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
| Administrators | 1 |
| Practitioners | 1 |
Location
| New Mexico | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
DeRocchis, Anthony M.; Michalenko, Ashley; Boucheron, Laura E.; Stochaj, Steven J. – Grantee Submission, 2018
This Innovative Practice Category Work In Progress paper presents an application of machine learning and data mining to student performance data in an undergraduate electrical engineering program. We are developing an analytical approach to enhance retention in the program especially among underrepresented groups. Our approach will provide…
Descriptors: Engineering Education, Data Analysis, Undergraduate Students, Artificial Intelligence
1989
The conference program and the texts of 24 papers presented at the conference are provided in this document. Selected papers include: "The Use of the College Student Experience Questionnaire in Policy and Program Development" (Karen Bauer and Dale Trusheim); "Predicting Freshman Performance as Admissions Criteria" (David Zubrow); "Has the Middle…
Descriptors: Academic Persistence, Database Design, Educational Planning, Enrollment

Peer reviewed
Direct link
