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) | 2 |
Descriptor
Source
| Grantee Submission | 2 |
Author
| Boucheron, Laura E. | 1 |
| DeRocchis, Anthony M. | 1 |
| Feng, Mingyu | 1 |
| Heffernan, Neil | 1 |
| Michalenko, Ashley | 1 |
| Murphy, Robert | 1 |
| Roschelle, Jeremy | 1 |
| Stochaj, Steven J. | 1 |
Publication Type
| Reports - Research | 2 |
| Speeches/Meeting Papers | 2 |
Education Level
| Grade 7 | 1 |
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
| Maine | 1 |
| 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
Feng, Mingyu; Roschelle, Jeremy; Murphy, Robert; Heffernan, Neil – Grantee Submission, 2014
The field of learning analytics is rapidly developing techniques for using data captured during online learning. In this article, we develop an additional application: the use of analytics for improving implementation fidelity in a randomized controlled efficacy trial. In an efficacy trial, the goal is to determine whether an innovation has a…
Descriptors: Data Collection, Data Analysis, Intervention, Program Implementation

Peer reviewed
Direct link
