Descriptor
| Comparative Analysis | 2 |
| Sample Size | 2 |
| Scores | 2 |
| Academic Achievement | 1 |
| Achievement Gains | 1 |
| Adults | 1 |
| Artificial Intelligence | 1 |
| Benchmarking | 1 |
| Computer System Design | 1 |
| Educational Change | 1 |
| Educational Indicators | 1 |
| More ▼ | |
Source
Publication Type
| Opinion Papers | 1 |
| Reports - Research | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
Audience
Location
| Tennessee | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Comprehensive Tests of Basic… | 2 |
What Works Clearinghouse Rating
Download full textNoble, Julie; Sawyer, Richard – 1992
The purpose of the study was to compare two regression-based approaches for measuring educational effectiveness in Tennessee high schools: the mean residual approach (MR), and a more general linear models (LM) approach. Data were obtained from a sample of 1,011 students who were enrolled in 48 high schools, and who had taken the Comprehensive…
Descriptors: Academic Achievement, Achievement Gains, Comparative Analysis, Educational Change
Butler, Frances A.; And Others – 1990
This study, part of a larger effort to develop a methodology for evaluating intelligent computer systems (Artificial Intelligence Systems), explores the use of benchmarking as an evaluation technique. Benchmarking means comparing the performance of intelligent computer systems with human performance on the same task. Benchmarking in evaluation has…
Descriptors: Adults, Artificial Intelligence, Benchmarking, Comparative Analysis
