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Elias, Henrique Rizek; Ribeiro, Alessandro Jacques; Savioli, Angela Marta Pereira das Dores – International Journal of Science and Mathematics Education, 2020
Our goal in this article is to organise an epistemological matrix for the concept of rational number that contemplates its different meanings. Aiming at understanding the various ways to signify the rational numbers and based on the theoretical-methodological approach of conceptual profiles, we produce and analyse data from various sources,…
Descriptors: Epistemology, Numbers, Number Concepts, Matrices
Hess, Karin K.; Jones, Ben S.; Carlock, Dennis; Walkup, John R. – Online Submission, 2009
To teach the rigorous skills and knowledge students need to succeed in future college-entry courses and workforce training programs, education stakeholders have increasingly called for more rigorous curricula, instruction, and assessments. Identifying the critical attributes of rigor and measuring its appearance in curricular materials is…
Descriptors: Educational Objectives, Classification, Matrices, Curriculum Development
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Williams, W. T – Australian Mathematics Teacher, 1972
The problem of developing numerical methods for classification in the sciences is examined, with a discussion of classification strategies included. (DT)
Descriptors: Biology, Classification, Mathematical Applications, Mathematics
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Donoghue, Eileen F. – School Science and Mathematics, 1999
Introduces a schema for classifying research in mathematics education that deepens and extends the Romberg/Bourne Model. Employs dual hierarchical systems, one related to the research task and the other to research technique. (Author/CCM)
Descriptors: Classification, Higher Education, Mathematics Education, Matrices
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection