Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 0 |
| Since 2006 (last 20 years) | 2 |
Descriptor
| Class Rank | 3 |
| Comparative Analysis | 3 |
| Regression (Statistics) | 3 |
| Success | 2 |
| Academic Aptitude | 1 |
| Active Learning | 1 |
| Admission Criteria | 1 |
| Aptitude Tests | 1 |
| Artificial Intelligence | 1 |
| Business Administration… | 1 |
| College Entrance Examinations | 1 |
| More ▼ | |
Author
| Bowers, K. Westmoreland | 1 |
| Neff, Kathryn J. | 1 |
| Schumacher, Phyllis | 1 |
| Smith, Richard Manning | 1 |
| Van Nelson, C. | 1 |
Publication Type
| Reports - Research | 3 |
| Journal Articles | 2 |
| Speeches/Meeting Papers | 1 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| SAT (College Admission Test) | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkBowers, K. Westmoreland – Journal of Educational Technology Systems, 2014
The purpose of this study was to identify constructivist concepts that are important to student-perceived learning outcomes in college courses that use a virtual world, such as Second Life, as an educational tool. Identification of these concepts will help instructors to make the best use of their course design efforts in mediated environments.…
Descriptors: Student Attitudes, Constructivism (Learning), Student Responsibility, Computer Simulation
Smith, Richard Manning; Schumacher, Phyllis – Journal of Education for Business, 2006
The authors studied beginning undergraduate actuarial concentrators in a business college. They identified four variables (math Scholastic Aptitude Test [SAT] score, verbal SAT score, percentile rank in high school graduating class, and percentage score on a college mathematics placement exam) that were available for entering college students that…
Descriptors: Business Administration Education, Majors (Students), Aptitude Tests, Scores
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
