Computer, System, and Subject Knowledge in Novice Searching of a Full-Text, Multifile Database.
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ERIC Institute of Education Sciences
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| Main Authors: | , |
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| Format: | Recurso educativo Open Access |
| Language: | en |
| Published: |
1992
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| Subjects: | |
| Online Access: | |
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| _version_ | 1867181630949425152 |
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| author | Jacobson, Thomas Fusani, David |
| author_facet | Jacobson, Thomas Fusani, David Jacobson, Thomas Fusani, David |
| collection | Education Resources Information Center |
| contents | Computer, System, and Subject Knowledge in Novice Searching of a Full-Text, Multifile Database. Jacobson, Thomas Fusani, David College Libraries Computer Literacy Full Text Databases Higher Education Knowledge Level Online Searching Predictor Variables Relevance (Information Retrieval) Undergraduate Students User Satisfaction (Information) Users (Information) This study examined the experiences of 59 novice end users with a multifile, full-text information retrieval system. A regression model was developed of the relative contributions of computer, system, and subject knowledge to search success as measured by user judgments of the relevance of retrieved documents. Results indicated all three variables play a role in search success. (20 references) (Author/MES) |
| format | Recurso educativo Open Access |
| id | eric_EJ444862 |
| institution | ERIC Institute of Education Sciences |
| language | en |
| publishDate | 1992 |
| record_format | eric |
| spellingShingle | Computer, System, and Subject Knowledge in Novice Searching of a Full-Text, Multifile Database. Jacobson, Thomas Fusani, David College Libraries Computer Literacy Full Text Databases Higher Education Knowledge Level Online Searching Predictor Variables Relevance (Information Retrieval) Undergraduate Students User Satisfaction (Information) Users (Information) Computer, System, and Subject Knowledge in Novice Searching of a Full-Text, Multifile Database. Jacobson, Thomas Fusani, David College Libraries Computer Literacy Full Text Databases Higher Education Knowledge Level Online Searching Predictor Variables Relevance (Information Retrieval) Undergraduate Students User Satisfaction (Information) Users (Information) This study examined the experiences of 59 novice end users with a multifile, full-text information retrieval system. A regression model was developed of the relative contributions of computer, system, and subject knowledge to search success as measured by user judgments of the relevance of retrieved documents. Results indicated all three variables play a role in search success. (20 references) (Author/MES) |
| title | Computer, System, and Subject Knowledge in Novice Searching of a Full-Text, Multifile Database. |
| topic | College Libraries Computer Literacy Full Text Databases Higher Education Knowledge Level Online Searching Predictor Variables Relevance (Information Retrieval) Undergraduate Students User Satisfaction (Information) Users (Information) |
| url | https://eric.ed.gov/?id=EJ444862 |