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Knowledge Spaces

Overview of attention for book
Cover of 'Knowledge Spaces'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Overview
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    Chapter 2 Assessing Mathematical Knowledge in a Learning Space
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    Chapter 3 ALEKS -based Placement at the University of Illinois
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    Chapter 4 The Impact of a Mathematical Intelligent Tutoring System on Students’ Performance on Standardized High-Stake Tests
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    Chapter 5 A Potential Technological Solution for Reducing the Achievement Gap Between White And Black Students
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    Chapter 6 A Commercial Implementation of Knowledge Space Theory In College General Chemistry
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    Chapter 7 Using Knowledge Space Theory to Assess Student Understanding of Chemistry
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    Chapter 8 Learning Spaces: A Mathematical Compendium
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    Chapter 9 Recent Developments in Performance-based Knowledge Space Theory
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    Chapter 10 Heuristics for Generating and Validating Surmise Relations across, between and within Sets/Tests
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    Chapter 11 Skills, Competencies and Knowledge Structures
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    Chapter 12 Recent Developments in Competence-based Knowledge Space Theory
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    Chapter 13 Learning Sequences: An Efficient Data Structure for Learning Spaces
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    Chapter 14 Projection, Decomposition, and Adaption of Learning Spaces
Attention for Chapter 3: ALEKS -based Placement at the University of Illinois
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Readers on

mendeley
8 Mendeley
Summary
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Chapter title
ALEKS -based Placement at the University of Illinois
Chapter number 3
Book title
Knowledge Spaces
Published by
Springer, Berlin, Heidelberg, January 2013
DOI 10.1007/978-3-642-35329-1_3
Book ISBNs
978-3-64-235328-4, 978-3-64-235329-1
Authors

Alison Ahlgren Reddy, Marc Harper

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 38%
Student > Ph. D. Student 2 25%
Student > Doctoral Student 1 13%
Other 1 13%
Professor 1 13%
Other 0 0%
Readers by discipline Count As %
Mathematics 3 38%
Computer Science 3 38%
Engineering 2 25%

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