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Rotem, Sigal-Hava; Ayalon, Michal – Educational Studies in Mathematics, 2021
The aim of this study is to explore Israeli high school graduates' mathematical explanations for the spread of the coronavirus, given that the mathematics required to do so was part of their school curriculum. An online questionnaire consisting of two sections provided a variety of potential framings for explaining the phenomenon. The first…
Descriptors: Foreign Countries, High School Graduates, Epidemiology, Probability
Peer reviewedFreudenthal, H. – Educational Studies in Mathematics, 1972
Descriptors: Instruction, Mathematics, Mathematics Education, Probability
Dogan, Enis; Tatsuoka, Kikumi – Educational Studies in Mathematics, 2008
This study illustrates how a diagnostic testing model can be used to make detailed comparisons between student populations participating in international assessments. The performance of Turkish students on the TIMSS-R mathematics test was reanalyzed with a diagnostic testing model called the Rule Space Model. First, mathematical and cognitive…
Descriptors: Mathematics Tests, Diagnostic Tests, Pattern Recognition, Probability
Peer reviewedCastro, Cesar Saenz – Educational Studies in Mathematics, 1998
Presents a theoretical proposal of a methodology for the teaching of probability theory. Discusses the importance of the epistemological approach of Lakatos and the perspective of the conceptual change. Discusses research using a proposed didactic method with Spanish high school students (N=6). Concludes that significant differences on all…
Descriptors: Concept Formation, High Schools, Mathematical Concepts, Mathematics Education
Peer reviewedHeitele, Dietger – Educational Studies in Mathematics, 1975
Arguing that the teaching of stochastic processes should reflect the experience and reality of the student, the author urges concentration on fundamental ideas. The development of intuition should be encouraged, and to this end continuity in teaching and a spiralled curriculum are important. (SD)
Descriptors: Cognitive Development, Curriculum, Elementary Secondary Education, Instruction
Peer reviewedCox, Caryl; Mouw, John T. – Educational Studies in Mathematics, 1992
The explicit, experimental introduction of a series of logical inconsistencies is described and recommended as a means of disrupting the faulty logic and, thereby, enhancing the use of more appropriate probabilistic reasoning by graduate students enrolled in an introductory inferential statistics course. (14 references) (JJK)
Descriptors: Heuristics, Higher Education, Logical Thinking, Mathematics Education
Peer reviewedShaughnessy, J. Michael – Educational Studies in Mathematics, 1977
The author presents an approach to the teaching of undergraduate introductory probability and statistics. He also presents experimental evidence that suggests the approach helps students rely upon probability theory in making estimates for the likelihood of events rather than rely upon heuristic principles which may bias probability estimates. (MN)
Descriptors: College Mathematics, Educational Research, Experiential Learning, Grouping (Instructional Purposes)
Peer reviewedWilensky, Uri – Educational Studies in Mathematics, 1997
Presents two case studies of learners attempting to understand the concept of normal distribution, specifically why physical phenomena such as height fall into normal distributions. Draws conclusions about a Connected Mathematics learning environment that enables confrontation with epistemological anxiety and the features of modeling languages…
Descriptors: Learning Problems, Learning Processes, Mathematical Concepts, Mathematical Models
Watson, Jane M.; Kelly, Ben A. – Educational Studies in Mathematics, 2004
A series of 13 survey questions based on a 50-50 spinner is used to explore school students' understanding of statistical variation in a chance setting. Five questions set the context by assessing the understanding of theoretical expectation and representation of repeated trials in a stacked dot (line) plot. Four questions provide opportunity to…
Descriptors: Student Surveys, Data Analysis, Statistics, Mathematics Skills

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