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New Perspectives on Affect and Learning Technologies

  • Book
  • © 2011

Overview

Editors:
  1. Rafael A. Calvo

    1. , School of Electrical and Information Eng, The University of Sydney, Sydney, Australia

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    You can also search for this editor in PubMed   Google Scholar

  2. Sidney K. D'Mello

    1. , Department of Psychology, The University of Memphis, Memphis, USA

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    You can also search for this editor in PubMed   Google Scholar

  • Describes emerging technologies designed to develop learning environments capable of coordinating pedagogy and emotion
  • Uses affective technologies to explore the relationship between emotions and learning
  • Places the research in "real world" contexts such as the classroom, an exam, or a high stakes testing environment
  • Integrates theoretical perspectives on affect and learning with recent research in affective computing
  • Focuses on both methods and technologies that promote learning gains by responding to emotions

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Table of contents (19 chapters)

  1. Front Matter

    Pages i-xvii
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  2. Theoretical Perspectives

    1. Front Matter

      Pages 1-1
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    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
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Keywords

About this book

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

Editors and Affiliations

  • , 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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