Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Developmental Studies Programs | 2 |
| Peer Influence | 2 |
| Remedial Mathematics | 2 |
| Standardized Tests | 2 |
| Statistical Analysis | 2 |
| Academic Achievement | 1 |
| Academic Degrees | 1 |
| Academic Persistence | 1 |
| Affective Behavior | 1 |
| Algebra | 1 |
| Asynchronous Communication | 1 |
| More ▼ | |
Author
| Anderson, Connie Wilson | 1 |
| Burley, Hansel | 1 |
| Butner, Bonita | 1 |
| Mavrikis, Manolis, Ed. | 1 |
| McLaren, Bruce M., Ed. | 1 |
| Pardos, Zachary, Ed. | 1 |
| Siwatu, Kamau Oginga | 1 |
| Stamper, John, Ed. | 1 |
Publication Type
| Collected Works - Proceedings | 1 |
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
| Secondary Education | 2 |
| Elementary Education | 1 |
| Grade 10 | 1 |
| Grade 6 | 1 |
| High Schools | 1 |
| Intermediate Grades | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
| Program for International… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Download full textBurley, Hansel; Butner, Bonita; Anderson, Connie Wilson; Siwatu, Kamau Oginga – NADE Digest, 2009
This study used the National Educational Longitudinal Study: 88 /2000 (NELS 88: /2000) dataset to explore characteristics associated with college degree attainment. The study was informed by Ajzen's Theory of Planned Behavior. The sample size was 6,832 postsecondary students. The findings revealed that developmental math students were less…
Descriptors: Longitudinal Studies, National Surveys, College Graduates, Academic Degrees
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
