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Zendler, Andreas; Klaudt, Dieter; Seitz, Cornelia – Journal of Educational Computing Research, 2014
The authors discuss empirically determined competence areas to K-12 computer science education, emphasizing the cognitive level of competence. The results of a questionnaire with 120 professors of computer science serve as a database. By using multi-dimensional scaling and cluster analysis, four competence areas to computer science education…
Descriptors: Elementary Secondary Education, Computer Science Education, Competence, Cognitive Processes
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Shipman, B. A. – PRIMUS, 2012
Through a series of six guided classroom discoveries, students create, via targeted questions, a definition for deciding when two sets have the same cardinality. The program begins by developing basic facts about cardinalities of finite sets. Extending two of these facts to infinite sets yields two statements on comparing infinite cardinalities…
Descriptors: Cognitive Processes, Multidimensional Scaling, Matrices, Questioning Techniques
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Dosse, Mohammed Bennani; Berge, Jos M. F. – Psychometrika, 2008
The use of Candecomp to fit scalar products in the context of INDSCAL is based on the assumption that the symmetry of the data matrices involved causes the component matrices to be equal when Candecomp converges. Ten Berge and Kiers gave examples where this assumption is violated for Gramian data matrices. These examples are believed to be local…
Descriptors: Matrices, Equations (Mathematics), Multidimensional Scaling, Comparative Analysis