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Blikstein, Paulo; Worsley, Marcelo; Piech, Chris; Sahami, Mehran; Cooper, Steven; Koller, Daphne – Journal of the Learning Sciences, 2014
New high-frequency, automated data collection and analysis algorithms could offer new insights into complex learning processes, especially for tasks in which students have opportunities to generate unique open-ended artifacts such as computer programs. These approaches should be particularly useful because the need for scalable project-based and…
Descriptors: Programming, Computer Science Education, Learning Processes, Introductory Courses
Fogel, Marc – 1969
The exponential growth in the literature of most fields has produced a near crisis situation for the people who provide storage and retrieval facilities for this same literature. One useful tool suggested for anyone interested in mechanizing the process of information storage and retrieval requires that vocabulary used in the system be divided…
Descriptors: Automation, Cluster Grouping, Correlation, Indexing
Borko, Harold; And Others – 1968
Experiments were performed to determine the feasibility of using ALCAPP as one form of on-line dialogue. Assuming the ALCAPP (Automatic List Classification and Profile Production) system is in an on-line mode, investigations of those parameters which could affect its stability and reliability were conducted. Fifty-two full test documents were used…
Descriptors: Abstracts, Algorithms, Analysis of Variance, Automation

Garland, Kathleen – Information Processing and Management, 1983
Describes method of automatic document classification in which documents classed as QA by Library of Congress classification system were clustered at six thresholds by keyword using single link technique. Automatically generated clusters were compared to Library of Congress subclasses, and partial classified hierarchy was formed. Twelve references…
Descriptors: Automation, Cataloging, Classification, Cluster Analysis