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Lundquist, Carol; Frieder, Ophir; Holmes, David O.; Grossman, David – Journal of the American Society for Information Science, 1999
Describes a scalable, parallel, relational database-drive information retrieval engine. To support portability across a wide range of execution environments, all algorithms adhere to the SQL-92 standard. By incorporating relevance feedback algorithms, accuracy is enhanced over prior database-driven information retrieval efforts. Presents…
Descriptors: Database Design, Database Management Systems, Feedback, Information Management
Burns, Edward – Educational Technology, 1990
Discusses factors that should be considered when designing multiple-choice diagnostic tests for use with microcomputer systems. Item content and characteristics are described, presentation of feedback and results are examined, database management functions are discussed, and benefits for students with learning problems and physically disabled…
Descriptors: Computer Assisted Testing, Database Management Systems, Feedback, Learning Problems