Title | Chance Encounters: Probability in Education [electronic resource] / edited by Ramesh Kapadia, Manfred Borovcnik |
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Imprint | Dordrecht : Springer Netherlands : Imprint: Springer, 1991 |

Connect to | http://dx.doi.org/10.1007/978-94-011-3532-0 |

Descript | X, 267 p. online resource |

SUMMARY

This book has been written to fIll a substantial gap in the current literature in mathematยญ ical education. Throughout the world, school mathematical curricula have incorporated probability and statistics as new topics. There have been many research papers written on specifIc aspects of teaching, presenting novel and unusual approaches to introducing ideas in the classroom; however, there has been no book giving an overview. Here we have decided to focus on probability, making reference to inferential statistics where appropriate; we have deliberately avoided descriptive statistics as it is a separate area and would have made ideas less coherent and the book excessively long. A general lead has been taken from the fIrst book in this series written by the man who, probably more than everyone else, has established mathematical education as an acaยญ demic discipline. However, in his exposition of didactical phenomenology, Freudenthal does not analyze probability. Thus, in this book, we show how probability is able to organize the world of chance and idealized chance phenomena based on its development and applications. In preparing these chapters we and our co-authors have reflected on our own acquisition of probabilistic ideas, analyzed textbooks, and observed and reflectยญ ed upon the learning processes involved when children and adults struggle to acquire the relevant concepts

CONTENT

1: The Educational Perspective -- 1. Aims and Rationale -- 2. Views on Didactics -- 3. Basic Ideas of the Chapters -- 2: A Probabilistic Perspective -- 1. History and Philosophy -- 2. The Mathematical Background -- 3. Paradoxes and Fallacies -- 3: Empirical Research in Understanding Probability -- 1. Research Framework -- 2. Sample Space and Symmetry View -- 3. Frequentist Interpretation -- 4. Independence and Dependence -- 5. Statistical Inference -- 6. Concluding Comments -- 4: Analysis of the Probability Curriculum -- 1. General Aims -- 2. General Curriculum Issues -- 3. Curriculum Issues in Probability -- 4. Approaches to the Probability Curriculum -- 5: The Theoretical Nature of Probability in the Classroom -- 1. Approaches towards Teaching -- 2. The Theoretical Nature of Stochastic Knowledge -- 3. Didactic Means to Respect the Theoretical Nature of Probability -- 4. On the Didactic Organization of Teaching Processes -- 5. Discussion of an Exemplary Task -- 6: Computers in Probability Education -- 1. Computers and Current Practice in Probability Teaching -- 2. Computers as Mathematical Utilities -- 3. Simulation as a Problem Solving Method -- 4. Simulation and Data Analysis for Providing an Empirical Background for Probability -- 5. Visualization, Graphical Methods and Animation -- 6. Concluding Remarks -- Software/Bibliography -- 7: Psychological Research in Probabilistic Understanding -- 1. Traditional Research Paradigms -- 2. Current Research Paradigms -- 3. Critical Dimensions of Educational Relevance -- 4. Developmental Approaches on the Acquisition of the Probability Concept -- Looking Forward

Education
Probabilities
Education
Education general
Probability Theory and Stochastic Processes