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New Perspectives on Affect and Learning Technologies

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Cover of 'New Perspectives on Affect and Learning Technologies'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Theoretical Perspectives on Affect and Deep Learning
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    Chapter 3 Emotions as Drivers of Learning and Cognitive Development
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    Chapter 4 Towards a Motivationally Intelligent Pedagogy: How Should an Intelligent Tutor Respond to the Unmotivated or the Demotivated?
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    Chapter 5 Natural Affect Data: Collection and Annotation
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    Chapter 6 Combining Cognitive Appraisal and Sensors for Affect Detection in a Framework for Modeling User Affect
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    Chapter 7 Affect Recognition and Expression in Narrative-Centered Learning Environments
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    Chapter 8 Advancing a Multimodal Real-Time Affective Sensing Research Platform
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    Chapter 9 A Motivationally Supportive Affect-Sensitive AutoTutor
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    Chapter 10 Actionable Affective Processing for Automatic Tutor Interventions
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    Chapter 11 Integrating Cognitive, Metacognitive, and Affective Regulatory Processes with MetaTutor
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    Chapter 12 Designing Adaptive Motivational Scaffolding for a Tutoring System
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    Chapter 13 Annotating Disengagement for Spoken Dialogue Computer Tutoring
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    Chapter 14 Comparing the Incidence and Persistence of Learners’ Affect During Interactions with Different Educational Software Packages
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    Chapter 15 Cognitive Load in Adaptive Multimedia Learning
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    Chapter 16 The Role of Affect in Creative Minds
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    Chapter 17 Perspectives from Social and Affective Neuroscience on the Design of Digital Learning Technologies
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    Chapter 18 Affect, Technology and Convivial Learning Environments
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    Chapter 19 Significant Accomplishments, New Challenges, and New Perspectives
Attention for Chapter 10: Actionable Affective Processing for Automatic Tutor Interventions
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Chapter title
Actionable Affective Processing for Automatic Tutor Interventions
Chapter number 10
Book title
New Perspectives on Affect and Learning Technologies
Published by
Springer New York, January 2011
DOI 10.1007/978-1-4419-9625-1_10
Book ISBNs
978-1-4419-9624-4, 978-1-4419-9625-1
Authors

David G. Cooper, Ivon Arroyo, Beverly Park Woolf

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 6%
United States 1 6%
Unknown 14 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 44%
Other 1 6%
Lecturer 1 6%
Student > Bachelor 1 6%
Student > Doctoral Student 1 6%
Other 2 13%
Unknown 3 19%
Readers by discipline Count As %
Computer Science 4 25%
Social Sciences 3 19%
Engineering 2 13%
Psychology 1 6%
Unknown 6 38%