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Challenges and Strategies in Teaching Linear Algebra

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Cover of 'Challenges and Strategies in Teaching Linear Algebra'

Table of Contents

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    Book Overview
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    Chapter 1 The Learning and Teaching of Linear Algebra Through the Lenses of Intellectual Need and Epistemological Justification and Their Constituents
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    Chapter 2 Learning Linear Algebra Using Models and Conceptual Activities
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    Chapter 3 Moving Between the Embodied, Symbolic and Formal Worlds of Mathematical Thinking with Specific Linear Algebra Tasks
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    Chapter 4 Conceptions About System of Linear Equations and Solution
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    Chapter 5 Rationale for Matrix Multiplication in Linear Algebra Textbooks
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    Chapter 6 Misconceptions About Determinants
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    Chapter 7 Dealing with the Abstraction of Vector Space Concepts
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    Chapter 8 Stretch Directions and Stretch Factors: A Sequence Intended to Support Guided Reinvention of Eigenvector and Eigenvalue
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    Chapter 9 Examining Students’ Procedural and Conceptual Understanding of Eigenvectors and Eigenvalues in the Context of Inquiry-Oriented Instruction
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    Chapter 10 Mental Schemes of: Linear Algebra Visual Constructs
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    Chapter 11 How Does a Dynamic Geometry System Mediate Students’ Reasoning on 3D Linear Transformations?
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    Chapter 12 Fostering Students’ Competencies in Linear Algebra with Digital Resources
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    Chapter 13 Linear Algebra—A Companion of Advancement in Mathematical Comprehension
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    Chapter 14 A Computational Approach to Systems of Linear Equations
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    Chapter 15 Nonnegative Factorization of a Data Matrix as a Motivational Example for Basic Linear Algebra
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    Chapter 16 Motivating Examples, Meaning and Context in Teaching Linear Algebra
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    Chapter 17 Holistic Teaching and Holistic Learning, Exemplified Through One Example from Linear Algebra
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    Chapter 18 Using Challenging Problems in Teaching Linear Algebra
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Mentioned by

6 tweeters
1 Facebook page


4 Dimensions

Readers on

10 Mendeley
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Challenges and Strategies in Teaching Linear Algebra
Published by
Springer International Publishing, February 2018
DOI 10.1007/978-3-319-66811-6
978-3-31-966810-9, 978-3-31-966811-6

Stewart, Sepideh, Andrews-Larson, Christine, Berman, Avi, Zandieh, Michelle

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 40%
Professor 1 10%
Lecturer 1 10%
Lecturer > Senior Lecturer 1 10%
Student > Ph. D. Student 1 10%
Other 2 20%
Readers by discipline Count As %
Mathematics 6 60%
Social Sciences 3 30%
Unspecified 1 10%