New Perspectives on Affect and Learning Technologies

1. Front Matter

   Pages i-xvii

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2. Theoretical Perspectives

   1. Front Matter

      Pages 1-1

      PDF

   2. Introduction

      • Rafael A. Calvo, Sidney K. D’Mello

      Pages 3-10

   3. Theoretical Perspectives on Affect and Deep Learning

      • Art Graesser, Sidney K. D’Mello

      Pages 11-21

   4. Emotions as Drivers of Learning and Cognitive Development

      • Reinhard Pekrun

      Pages 23-39

   5. Towards a Motivationally Intelligent Pedagogy: How Should an Intelligent Tutor Respond to the Unmotivated or the Demotivated?

      • Benedict du Boulay

      Pages 41-52

3. Case Studies

   1. Front Matter

      Pages 53-53

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   2. Natural Affect Data: Collection and Annotation

      • Shazia Afzal, Peter Robinson

      Pages 55-70

   3. Combining Cognitive Appraisal and Sensors for Affect Detection in a Framework for Modeling User Affect

      • Cristina Conati

      Pages 71-84

   4. Affect Recognition and Expression in Narrative-Centered Learning Environments

      • James C. Lester, Scott W. McQuiggan, Jennifer L. Sabourin

      Pages 85-96

   5. Advancing a Multimodal Real-Time Affective Sensing Research Platform

      • Winslow Burleson

      Pages 97-112

   6. A Motivationally Supportive Affect-Sensitive AutoTutor

      • Sidney K. D’Mello, Blair Lehman, Art Graesser

      Pages 113-126

   7. Actionable Affective Processing for Automatic Tutor Interventions

      • David G. Cooper, Ivon Arroyo, Beverly Park Woolf

      Pages 127-140

   8. Integrating Cognitive, Metacognitive, and Affective Regulatory Processes with MetaTutor

      • Roger Azevedo, Amber Chauncey Strain

      Pages 141-154

   9. Designing Adaptive Motivational Scaffolding for a Tutoring System

      • Genaro Rebolledo-Mendez, Rosemary Luckin, Benedict du Boulay

      Pages 155-168

   10. Annotating Disengagement for Spoken Dialogue Computer Tutoring

       • Kate Forbes-Riley, Diane Litman, Heather Friedberg

       Pages 169-181

   11. Comparing the Incidence and Persistence of Learners’ Affect During Interactions with Different Educational Software Packages

       • Ma. Mercedes T. Rodrigo, Ryan S. J. d. Baker

       Pages 183-200

4. Interdisciplinary Views

   1. Front Matter

      Pages 201-201

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   2. Cognitive Load in Adaptive Multimedia Learning

      • Slava Kalyuga

      Pages 203-215

   3. The Role of Affect in Creative Minds

      • Andy Dong

      Pages 217-232

This monograph integrates theoretical perspectives on affect and learning with recent research in affective computing with an emphasis on building new learning technologies. The "new perspectives" come from the intersection of several research themes: -Basic research on emotion, cognition, and motivation applied to learning environments -Pedagogical and motivational strategies that are sensitive to affective and cognitive processes -Multimodal Human Computer Interfaces, with a focus on affect recognition and synthesis -Recent advances in affect-sensitive Intelligent Tutoring Systems -Novel methodologies to investigate affect and learning -Neuroscience research on emotions and learning

• Affect Sensitive User Interfaces
• Affect and learning
• Affective computing
• Artificial Intelligence in education
• Emotions and learning
• Human computer interaction
• Intelligent Tutoring Systems
• Self Regulated Learning

• , School of Electrical and Information Eng, The University of Sydney, Sydney, Australia

  Rafael A. Calvo

• , Department of Psychology, The University of Memphis, Memphis, USA

  Sidney K. D'Mello

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