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Teaching and Learning in Information Retrieval

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Cover of 'Teaching and Learning in Information Retrieval'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Teaching and Learning in Information Retrieval
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    Chapter 2 Fostering Student Engagement in an Online IR Course
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    Chapter 3 Teaching IR: Curricular Considerations
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    Chapter 4 Pedagogical Enhancements for Information Retrieval Courses
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    Chapter 5 Pedagogical Design and Evaluation of Interactive Information Retrieval Learning Environment
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    Chapter 6 Shifting Contexts: Relating the User, Search and System in Teaching IR
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    Chapter 7 A Technical Approach to Information Retrieval Pedagogy
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    Chapter 8 Using Multiple Choice Questions to Assist Learning for Information Retrieval
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    Chapter 9 Information Retrieval Systems Evaluation: Learning and Teaching Process
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    Chapter 10 Teaching Web Information Retrieval to Computer Science Students: Concrete Approach and Its Analysis
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    Chapter 11 Is a Relevant Piece of Information a Valid One? Teaching Critical Evaluation of Online Information
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    Chapter 12 Training Students to Evaluate Search Engines
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    Chapter 13 Teaching Information Retrieval Through Problem-Based Learning
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    Chapter 14 Educational Resource Development for Information Retrieval in a Digital Libraries Context
Attention for Chapter 4: Pedagogical Enhancements for Information Retrieval Courses
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Citations

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Chapter title
Pedagogical Enhancements for Information Retrieval Courses
Chapter number 4
Book title
Teaching and Learning in Information Retrieval
Published by
Springer, Berlin, Heidelberg, January 2011
DOI 10.1007/978-3-642-22511-6_4
Book ISBNs
978-3-64-222510-9, 978-3-64-222511-6
Authors

Edward Fox, Uma Murthy, Seungwon Yang, Ricardo da S. Torres, Javier Velasco-Martin, Gary Marchionini

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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