Descriptor
| Class Rank | 2 |
| Grade Point Average | 2 |
| Higher Education | 2 |
| Sex Differences | 2 |
| Undergraduate Students | 2 |
| Admission Criteria | 1 |
| Age Differences | 1 |
| Artificial Intelligence | 1 |
| Behavior Problems | 1 |
| Cheating | 1 |
| College Entrance Examinations | 1 |
| More ▼ | |
Source
Publication Type
| Reports - Research | 2 |
| Speeches/Meeting Papers | 2 |
Education Level
Audience
| Researchers | 1 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Download full textVan Nelson, C.; Neff, Kathryn J. – 1990
Data from two studies in which subjects were classified as successful or unsuccessful were analyzed using neural net technology after being analyzed with a linear regression function. Data were obtained from admission records of 201 students admitted to undergraduate and 285 students admitted to graduate programs. Data included grade point…
Descriptors: Admission Criteria, Artificial Intelligence, Class Rank, College Entrance Examinations
Roberts, Patty; Anderson, Janet; Yanish, Paula – 1997
This study examined the relationship between demographic variables and academic misconduct (cheating) among undergraduate students at a mid-sized, four-year public university. A total of 422 students from 22 classes completed a 27-item self-report measure assessing their involvement in 17 types of academic misconduct. In addition, the measure…
Descriptors: Age Differences, Behavior Problems, Cheating, Class Rank
