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| Main Authors: | , |
|---|---|
| Format: | Recurso educativo Open Access |
| Language: | en |
| Published: |
1994
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| Subjects: | |
| Online Access: | https://eric.ed.gov/?id=EJ489797 |
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| _version_ | 1867181299427442690 |
|---|---|
| author | Ford, Nigel Ford, Rosalind |
| author_facet | Ford, Nigel Ford, Rosalind Ford, Nigel Ford, Rosalind |
| collection | Education Resources Information Center |
| contents | Toward User Models for Intelligent Computer-Assisted Learning: An Empirical Study. Ford, Nigel Ford, Rosalind Cognitive Style Computer Assisted Instruction Expert Systems Foreign Countries Higher Education Indexing Information Seeking Learning Strategies Library Education Models Statistical Analysis Tables (Data) Users (Information) Thirty postgraduate librarianship students learned about PRECIS indexing using a system that responds as flexibly and intelligently as a human expert to natural language queries. Interactions were logged and analyzed. The evidence obtained supports the notion that individuals employ distinct strategies when interacting with information sources in a learning context. (Contains eight references.) (KRN) |
| format | Recurso educativo Open Access |
| id | eric_EJ489797 |
| institution | ERIC Institute of Education Sciences |
| language | en |
| publishDate | 1994 |
| record_format | eric |
| spellingShingle | Toward User Models for Intelligent Computer-Assisted Learning: An Empirical Study. Ford, Nigel Ford, Rosalind Cognitive Style Computer Assisted Instruction Expert Systems Foreign Countries Higher Education Indexing Information Seeking Learning Strategies Library Education Models Statistical Analysis Tables (Data) Users (Information) Toward User Models for Intelligent Computer-Assisted Learning: An Empirical Study. Ford, Nigel Ford, Rosalind Cognitive Style Computer Assisted Instruction Expert Systems Foreign Countries Higher Education Indexing Information Seeking Learning Strategies Library Education Models Statistical Analysis Tables (Data) Users (Information) Thirty postgraduate librarianship students learned about PRECIS indexing using a system that responds as flexibly and intelligently as a human expert to natural language queries. Interactions were logged and analyzed. The evidence obtained supports the notion that individuals employ distinct strategies when interacting with information sources in a learning context. (Contains eight references.) (KRN) |
| title | Toward User Models for Intelligent Computer-Assisted Learning: An Empirical Study. |
| topic | Cognitive Style Computer Assisted Instruction Expert Systems Foreign Countries Higher Education Indexing Information Seeking Learning Strategies Library Education Models Statistical Analysis Tables (Data) Users (Information) |
| url | https://eric.ed.gov/?id=EJ489797 |