Prototype Identification Using a Knowledge-Base Management System (Short Communication).
Fuente:
ERIC Institute of Education Sciences
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| Auteurs principaux: | , |
|---|---|
| Format: | Recurso educativo Open Access |
| Langue: | en |
| Publié: |
1985
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| Sujets: | |
| Accès en ligne: | |
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| _version_ | 1867181538213363713 |
|---|---|
| author | Gibb, Forbes Cronin, Blaise |
| author_facet | Gibb, Forbes Cronin, Blaise Gibb, Forbes Cronin, Blaise |
| collection | Education Resources Information Center |
| contents | Prototype Identification Using a Knowledge-Base Management System (Short Communication). Gibb, Forbes Cronin, Blaise Computer Software Databases Higher Education Identification Librarians Performance Predictor Variables Student Characteristics Describes Expert 4, a knowledge-base management system which develops student performance predictors based on routinely collected student data. When exploited, these predictors serve to improve recruitment and selection processes. Tabulations of data on library and business information technology students, produced by Expert 4, are presented to demonstrate the system's utility. (MBR) |
| format | Recurso educativo Open Access |
| id | eric_EJ334708 |
| institution | ERIC Institute of Education Sciences |
| language | en |
| publishDate | 1985 |
| record_format | eric |
| spellingShingle | Prototype Identification Using a Knowledge-Base Management System (Short Communication). Gibb, Forbes Cronin, Blaise Computer Software Databases Higher Education Identification Librarians Performance Predictor Variables Student Characteristics Prototype Identification Using a Knowledge-Base Management System (Short Communication). Gibb, Forbes Cronin, Blaise Computer Software Databases Higher Education Identification Librarians Performance Predictor Variables Student Characteristics Describes Expert 4, a knowledge-base management system which develops student performance predictors based on routinely collected student data. When exploited, these predictors serve to improve recruitment and selection processes. Tabulations of data on library and business information technology students, produced by Expert 4, are presented to demonstrate the system's utility. (MBR) |
| title | Prototype Identification Using a Knowledge-Base Management System (Short Communication). |
| topic | Computer Software Databases Higher Education Identification Librarians Performance Predictor Variables Student Characteristics |
| url | https://eric.ed.gov/?id=EJ334708 |