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Download full textGurtner, Jean-Luc, Ed. – 1997
The purpose of this conference sponsored by the French Commission of the Methods of Teaching was to give deep reflection as to the place of algorithms in the teaching curriculum and learning of mathematics. Devoted to the concept of new teaching methods at levels 1-4 of compulsory school education, the debates of this seminar were an occasion for…
Descriptors: Algorithms, Elementary Secondary Education, Mathematics Curriculum, Mathematics Education
Krass, Iosif A.; Thomasson, Gary L. – 1999
New items are being calibrated for the next generation of the computerized adaptive (CAT) version of the Armed Services Vocational Aptitude Battery (ASVAB) (Forms 5 and 6). The requirements that the items be "good" three-parameter logistic (3-PL) model items and typically "like" items in the previous CAT-ASVAB tests have…
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Nonparametric Statistics
Performance of Item Exposure Control Methods in Computerized Adaptive Testing: Further Explorations.
Chang, Shun-Wen; Ansley, Timothy N.; Lin, Sieh-Hwa – 2000
This study examined the effectiveness of the Sympson and Hetter conditional procedure (SHC), a modification of the Sympson and Hetter (1985) algorithm, in controlling the exposure rates of items in a computerized adaptive testing (CAT) environment. The properties of the procedure were compared with those of the Davey and Parshall (1995) and the…
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Item Banks
Lau, C. Allen; Wang, Tianyou – 1999
A study was conducted to extend the sequential probability ratio testing (SPRT) procedure with the polytomous model under some practical constraints in computerized classification testing (CCT), such as methods to control item exposure rate, and to study the effects of other variables, including item information algorithms, test difficulties, item…
Descriptors: Algorithms, Computer Assisted Testing, Difficulty Level, Item Banks
Peer reviewedErcolano, Joseph – Arithmetic Teacher, 1974
Descriptors: Algorithms, Elementary School Mathematics, Instruction, Mathematics Education
Peer reviewedBahe, Lowell W. – School Science and Mathematics, 1974
Descriptors: Algorithms, Chemistry, Computation, Mathematical Applications
Peer reviewedTarte, Edward C. – Mathematics Teacher, 1974
Descriptors: Algorithms, Diagrams, Discovery Learning, Instruction
Lea, Wayne A. – Mechanical Translation, 1966
Research supported by grants from the National Science Foundation and the Joint Services Electronics Program. (DD)
Descriptors: Algorithms, Comparative Analysis, Grammar, Graphs
Peer reviewedLiggett, Robin Segerblom – Management Science, 1973
Presents an implicit enumeration algorithm for redrawing school attendance boundaries in order to meet integration requirements. The basis of the approach is the division of the city into smaller areas or zones corresponding to neighborhoods. (Author)
Descriptors: Algorithms, Bus Transportation, Neighborhood Schools, School Desegregation
Peer reviewedCleminson, Robert A. – Arithmetic Teacher, 1973
Descriptors: Algorithms, Elementary School Mathematics, Instruction, Mathematics Education
Peer reviewedMehta, P. N. – Mathematical Spectrum, 1972
Descriptors: Algorithms, Computation, Inequalities, Mathematical Concepts
Peer reviewedDavis, Charles H. – Special Libraries, 1972
A straightforward procedure for performing weighted-term searches can be programmed quickly and easily, and the same general algorithm can be used for either on-line or batch mode searching. The method can be used to do whole text searches as well as conventional searches for index terms or other descriptors. (5 references) (Author/NH)
Descriptors: Algorithms, Computer Programs, Information Retrieval, Online Systems
Peer reviewedSmith, Cedric A. B. – Mathematics in School, 1973
Using negative digits in writing numerals and in calculation is explained. This is the second article in the series; for the first, see Vol. 1, No. 7, Nov., 1972, pp. 8-9. (DT)
Descriptors: Algorithms, Computation, Elementary School Mathematics, Instruction
Peer reviewedHubert, Lawrence – Psychometrika, 1973
The present paper discusses two rather different types of partitioning techniques that still have the same property of monotone invariance. (Author)
Descriptors: Algorithms, Cluster Analysis, Cluster Grouping, Goodness of Fit
Peer reviewedHubert, Lawrence – Psychometrika, 1973
The intent of this paper is to generalize the min and max clustering procedures in such a way that the assumption of a symmetric similarity measure is unnecessary. (Author)
Descriptors: Algorithms, Cluster Analysis, Data Analysis, Evaluation Methods
