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Learning and Knowledge Analytics in Open Education

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Cover of 'Learning and Knowledge Analytics in Open Education'

Table of Contents

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    Book Overview
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    Chapter 1 Learning Is a Journey, not a Destination
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    Chapter 2 The Impact of Instructional Design: Questions of Conscience
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    Chapter 3 Using Data Analytics to Drive Performance and Instructional Decision-Making
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    Chapter 4 Learning Analytics: Serving the Learning Process Design and Optimization
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    Chapter 5 Design of Online Student Orientation with Conceptual and Procedural Scaffolding
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    Chapter 6 Improving Learning in MOOCs Through Peer Feedback: How Is Learning Improved by Providing and Receiving Feedback?
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    Chapter 7 Emerging Technology: Instructional Strategies for Nailing Jell-O to a Tree
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    Chapter 8 Utopian and Dystopian Futures for Learning Technologies
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    Chapter 9 Open Educational Resources (OER)-Based Flipped Classroom Practice in an Undergraduate Course
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    Chapter 10 Tracking Students’ Activities in Serious Games
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    Chapter 11 Eight Trends Affecting the Field of Instructional Design and Technology: Opportunities and Challenges
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    Chapter 12 Social Media: An Integration Guideline for Teaching and Learning in Higher Education
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    Chapter 13 An Instructional Design Model for Information Science
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    Chapter 14 If Content Is King then e3 Instruction Is Queen
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    Chapter 15 Academic Writing, Publishing, and Presentations in Educational Technology
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    Chapter 16 Chinese Scholars’ Perspectives Regarding Educational Technology
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    Chapter 17 Epilogue
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Title
Learning and Knowledge Analytics in Open Education
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-38956-1
ISBNs
978-3-31-938955-4, 978-3-31-938956-1
Editors

Feng-Qi Lai, James D. Lehman

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 52 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 26%
Student > Master 7 13%
Student > Doctoral Student 7 13%
Lecturer 5 9%
Student > Bachelor 3 6%
Other 12 23%
Unknown 5 9%
Readers by discipline Count As %
Social Sciences 19 36%
Computer Science 10 19%
Arts and Humanities 5 9%
Engineering 3 6%
Design 2 4%
Other 6 11%
Unknown 8 15%