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E-raamat: New Perspectives on Affect and Learning Technologies

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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

Affective Prospecting integrates theoretical perspectives on learning with recent research in affective computing. These new perspectives are based on new research on emotion, cognition, and motivation applied to learning environments, Multimodal Human Computer Interfaces, and more.

Part I Theoretical Perspectives
Introduction
3(8)
Rafael A. Calvo
Sidney K. D'Mello
Theoretical Perspectives on Affect and Deep Learning
11(12)
Art Graesser
Sidney K. D'Mello
Emotions as Drivers of Learning and Cognitive Development
23(18)
Reinhard Pekrun
Towards a Motivationally Intelligent Pedagogy: How Should an Intelligent Tutor Respond to the Unmotivated or the Demotivated?
41(14)
Benedict du Boulay
Part II Case Studies
Natural Affect Data: Collection and Annotation
55(16)
Shazia Afzal
Peter Robinson
Combining Cognitive Appraisal and Sensors for Affect Detection in a Framework for Modeling User Affect
71(14)
Cristina Conati
Affect Recognition and Expression in Narrative-Centered Learning Environments
85(12)
James C. Lester
Scott W. McQuiggan
Jennifer L. Sabourin
Advancing a Multimodal Real-Time Affective Sensing Research Platform
97(16)
Winslow Burleson
A Motivationally Supportive Affect-Sensitive AutoTutor
113(14)
Sidney K. D'Mello
Blair Lehman
Art Graesser
Actionable Affective Processing for Automatic Tutor Interventions
127(14)
David G. Cooper
Ivon Arroyo
Beverly Park Woolf
Integrating Cognitive, Metacognitive, and Affective Regulatory Processes with MetaTutor
141(14)
Roger Azevedo
Amber Chauncey Strain
Designing Adaptive Motivational Scaffolding for a Tutoring System
155(14)
Genaro Rebolledo-Mendez
Rosemary Luckin
Benedict du Boulay
Annotating Disengagement for Spoken Dialogue Computer Tutoring
169(14)
Kate Forbes-Riley
Diane Litman
Heather Friedberg
Comparing the Incidence and Persistence of Learners' Affect During Interactions with Different Educational Software Packages
183(20)
Ma. Mercedes T. Rodrigo
Ryan S.J.d. Baker
Part III Interdisciplinary Views
Cognitive Load in Adaptive Multimedia Learning
203(14)
Slava Kalyuga
The Role of Affect in Creative Minds
217(16)
Andy Dong
Perspectives from Social and Affective Neuroscience on the Design of Digital Learning Technologies
233(10)
Mary Helen Immordino-Yang
Vanessa Singh
Affect, Technology and Convivial Learning Environments
243(12)
Peter Goodyear
Significant Accomplishments, New Challenges, and New Perspectives
255(18)
Sidney K. D'Mello
Rafael A. Calvo
Index 273