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The Teaching and Learning of Mathematics at University Level

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Cover of 'The Teaching and Learning of Mathematics at University Level'

Table of Contents

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    Book Overview
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    Chapter 1 Why the Professor Must be a Stimulating Teacher
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    Chapter 2 Changing Contexts in Tertiary Mathematics: Implications for Diversity and Equity
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    Chapter 3 Policy Issues
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    Chapter 4 Policy Issues Concerning Teaching at University Level in France
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    Chapter 5 Mathematics Education in Chinese Universities
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    Chapter 6 Policy in Sweden
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    Chapter 7 Trends in Curriculum
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    Chapter 8 Mathematical Teaching Practices at Tertiary Level: Working Group Report
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    Chapter 9 The Secondary-tertiary Interface
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    Chapter 10 The Warwick Analysis Project: Practice and Theory
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    Chapter 11 Professional Development for Changing Undergraduate Mathematics Instruction
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    Chapter 12 Scientific Debate in Mathematics Courses
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    Chapter 13 Making Large Lectures Effective: An Effort to Increase Student Success
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    Chapter 14 University Mathematics Based on Problem-oriented Student Projects: 25 Years of Experience with the Roskilde Model
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    Chapter 15 The Active/Interactive Classroom
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    Chapter 16 Concordia University, Montreal, Canada
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    Chapter 17 Eidgenössische Technische Hochschule Zurich, Switzerland
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    Chapter 18 Universidad Nacional Del Litoral, Santa FE, Argentina
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    Chapter 19 Universiti Teknologi Malaysia, Malaysia
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    Chapter 20 University of Joensuu, Finland
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    Chapter 21 What Can We Learn from Educational Research at the University Level?
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    Chapter 22 Purposes and Methods of Research in Mathematics Education
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    Chapter 23 Tertiary Mathematics Education Research and its Future
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    Chapter 24 Research into the Teaching and Learning of Linear Algebra
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    Chapter 25 APOS: A Constructivist Theory of Learning in Undergraduate Mathematics Education Research
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    Chapter 26 Research on the Teaching and Learning of Calculus/Elementary Analysis
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    Chapter 27 Revolution by Stealth: Redefining University Mathematics
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    Chapter 28 Mathematics and Other Subjects
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    Chapter 29 Trying the Impossible
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    Chapter 30 Do not Ask What Mathematics Can do for Modelling
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    Chapter 31 Technology
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    Chapter 32 Technology in College Statistics Courses
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    Chapter 33 Computer Algebra Systems in the Learning and Teaching of Linear Algebra: Some Examples
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    Chapter 34 Reflections on the Sustained Use of Technology in Undergraduate Mathematics Education
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    Chapter 35 Finding a Role for Technology in Service Mathematics for Engineers and Scientists
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    Chapter 36 Assessing Undergraduate Mathematics Students
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    Chapter 37 Assessing Mathematical Thinking Via FLAG
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    Chapter 38 Assessing Student Project Work
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    Chapter 39 Preparation of Primary and Secondary Mathematics Teachers: A working group report
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    Chapter 40 Using Research to Inform Pre-Service Teacher Education Programmes
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    Chapter 41 Mathematicians and the Preparation of Elementary Teachers
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    Chapter 42 Mathematics Teachers’ Education in France: From Academic Training to Professionalization
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    Chapter 43 The Mathematical Education of School Teachers: Role and Responsibilities of University Mathematicians
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    Chapter 44 On the Training of French Prospective University Teachers
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    Chapter 45 Professionalisation of Teaching in Higher Education in the United Kingdom
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    Chapter 46 The Alpha and Omega of Teacher Education: Organizing Mathematical Activities
Overall attention for this book and its chapters
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2 Wikipedia pages

Citations

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52 Dimensions

Readers on

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77 Mendeley
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Title
The Teaching and Learning of Mathematics at University Level
Published by
Springer Science & Business Media, September 2001
DOI 10.1007/0-306-47231-7
ISBNs
978-0-7923-7191-5, 978-0-306-47231-2
Editors

Holton, Derek, Artigue, Michèle, Kirchgräber, Urs, Hillel, Joel, Niss, Mogens, Schoenfeld, Alan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 1%
Pakistan 1 1%
Unknown 75 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 18%
Student > Doctoral Student 13 17%
Student > Master 11 14%
Lecturer 7 9%
Professor 4 5%
Other 13 17%
Unknown 15 19%
Readers by discipline Count As %
Mathematics 28 36%
Social Sciences 20 26%
Engineering 4 5%
Arts and Humanities 3 4%
Computer Science 3 4%
Other 5 6%
Unknown 14 18%