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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
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Title
New Perspectives on Affect and Learning Technologies
Published by
Springer, New York, NY, July 2011
DOI 10.1007/978-1-4419-9625-1
ISBNs
978-1-4419-9624-4, 978-1-4419-9625-1, 978-1-4614-2993-7
Editors

Rafael A. Calvo, Sidney K. D'Mello

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 3%
Australia 4 2%
United Kingdom 3 1%
Malaysia 2 <1%
Colombia 1 <1%
Ecuador 1 <1%
Brazil 1 <1%
Germany 1 <1%
Ireland 1 <1%
Other 3 1%
Unknown 186 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 62 30%
Student > Doctoral Student 30 14%
Student > Master 24 11%
Researcher 17 8%
Student > Bachelor 12 6%
Other 33 16%
Unknown 32 15%
Readers by discipline Count As %
Computer Science 70 33%
Social Sciences 46 22%
Psychology 25 12%
Arts and Humanities 9 4%
Engineering 7 3%
Other 20 10%
Unknown 33 16%