In order to determine the extent to which the LOGO programming language can be used as a reinforcer for general problem solving ability, this field study used a production theory approach to problem solving as a conceptual model, and then translated the model into a LOGO oriented framework. The methodology tested the use of an algorithm in a…

Discusses various strategies for assessing importance of journals for acquisition; describes a discipline-specific selection algorithm which uses journal citation data to identify journals that contribute to a discipline's research foundation as well as those used for professional practice; and reports on two studies which demonstrated the…

This personal reaction to Cummings'"Comparison of Three Algorithms for Analyzing Questionnaire-Type Needs Assessment Data to Establish Need Priorities" specifically questions Cummings' use of the Mean Difference Analysis for comparison with Weighted Needs Index, and his focus on characteristics of the statistic that are of secondary…

Demonstrates efficiency of preparation of query description using semantic analyser method based on analysis of semantic structure of documents in field of automatic indexing. Results obtained are compared with automatic indexing results performed by traditional methods and results of indexing done by human indexers. Sample terms and codes are…

This study of training needs utilized a questionnaire to assess participant's opinions of knowledge level that should exist and knowledge level that does exist in 25 content areas and analyzed the resultant data using three different approaches: mean difference analysis, multicomponent data analysis, and weighted need index. (MBR)

Considers classifications produced by application of single linkage, complete linkage, group average, and word clustering methods to Keen and Cranfield document test collections, and studies structure of hierarchies produced, extent to which methods distort input similarity matrices during classification generation, and retrieval effectiveness…

This study examines the application of the marginal maximum likelihood (MML) EM algorithm to the parameter estimation problem of the three-parameter normal ogive and logistic polychotomous item response models. A three-parameter normal ogive model, the Graded Response model, has been developed on the basis of Samejima's two-parameter graded…

Investigates techniques for automatic classification of book material focusing on: computer-based surrogation of monographic material, book surrogate clustering on basis of content association, evaluation of resultant classifications. Test collection (250 books) is described with surrogation by means of back-of-the-book index, table of contents,…

Presents thinking-aloud protocols from secondary pupils solving arithmetic story and geometrical problems and analyzes their protocols by using interpretation models founded on a general problem-solving model. A word problem solving simulation is also used to further explicate processes pupils use to solve mathematical tasks. (Author/MBR)