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Download full textAmitabh Verma – Journal of Educators Online, 2025
This study provides a thorough bibliometric analysis of the research landscape concerning the application of soft computing in higher education. This study collects 5,140 pieces including books, book chapters, journal articles published in respected journals, and conference papers presented at notable international conferences that were published…
Descriptors: Bibliometrics, Computer Uses in Education, Computer Science, Higher Education
Peer reviewedLevine, Deborah – Mathematics and Computer Education, 1983
The Euclidean algorithm for finding the greatest common divisor is presented. (MNS)
Descriptors: Algorithms, College Mathematics, Computation, Higher Education
Cohen, Don – Mathematics Teaching, 1976
Upper elementary school students created their own algorithms for finding products of whole numbers. The algorithms were similar to familiar ones for finding products involving 9 and 11. (SD)
Descriptors: Algorithms, Basic Skills, Elementary Education, Elementary School Mathematics
Peer reviewedSchmalz, Rosemary – Mathematics and Computer Education, 1987
Presented are the mathematical explanation of the algorithm for representing rational numbers in base two, paper-and-pencil methods for producing the representation, some patterns in these representations, and pseudocode for computer programs to explore these patterns. (MNS)
Descriptors: Algorithms, College Mathematics, Computer Software, Higher Education
Peer reviewedPagni, David L.; Shultz, Harris S. – Mathematics Teaching in the Middle School, 1999
Presents a problem that requires solving a card problem by exploring patterns that will lead to a logical solution. Involves students in developing and analyzing their own algorithms as well as discussing their reasoning with peers. (ASK)
Descriptors: Algorithms, Elementary Education, Junior High Schools, Mathematics Activities
Peer reviewedMongeau, Marcel; Sankoff, David – Computers and the Humanities, 1990
Quantifies and confirms subjective impressions of similarity and differences in musical monophonic scores. Adapts concepts from sequence comparison theory and uses algorithms to define distances between any two melodies created by tone and rhythmic structure. Presents and applies a generalized algorithm for identifying locally similar portions in…
Descriptors: Algorithms, Cluster Analysis, Computer Uses in Education, Data Processing
