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Deep Active Learning

Overview of attention for book
Cover of 'Deep Active Learning'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 An Invitation to Deep Active Learning
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    Chapter 3 Terms of Engagement: Understanding and Promoting Student Engagement in Today’s College Classroom
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    Chapter 4 Towards a Pedagogical Theory of Learning
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    Chapter 5 Deep Active Learning from the Perspective of Active Learning Theory
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    Chapter 6 The Flipped Classroom: An Instructional Framework for Promotion of Active Learning
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    Chapter 7 Class Design Based on High Student Engagement Through Cooperation: Toward Classes that Bring About Profound Development
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    Chapter 8 Deep Learning Using Concept Maps: Experiment in an Introductory Philosophy Course
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    Chapter 9 Course Design Fostering Significant Learning: Inducing Students to Engage in Coursework as Meaningful Practice for Becoming a Capable Teacher
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    Chapter 10 PBL Tutorial Linking Classroom to Practice: Focusing on Assessment as Learning
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    Chapter 11 New Leadership Education and Deep Active Learning
Attention for Chapter 5: Deep Active Learning from the Perspective of Active Learning Theory
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Citations

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23 Dimensions

Readers on

mendeley
39 Mendeley
Summary Dimensions citations
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Chapter title
Deep Active Learning from the Perspective of Active Learning Theory
Chapter number 5
Book title
Deep Active Learning
Published by
Springer, Singapore, January 2018
DOI 10.1007/978-981-10-5660-4_5
Book ISBNs
978-9-81-105659-8, 978-9-81-105660-4
Authors

Shinichi Mizokami

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 13%
Professor 4 10%
Student > Ph. D. Student 4 10%
Lecturer 4 10%
Professor > Associate Professor 3 8%
Other 7 18%
Unknown 12 31%
Readers by discipline Count As %
Social Sciences 7 18%
Engineering 4 10%
Computer Science 3 8%
Nursing and Health Professions 1 3%
Agricultural and Biological Sciences 1 3%
Other 10 26%
Unknown 13 33%

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