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Assessment of Student’s Emotions in Game-Based Learning

  • Elena Novak
  • Tristan E. Johnson
Chapter

Abstract

Research has shown that emotions are directly linked to cognition and there is a strong correlation between affect and learning. This notion along with recent technological advancements has prompted researchers from many disciplines to turn their attention toward adding an affective component to human-computer dialog. This chapter discusses emotion assessment methods, recent empirical research related to examining students’ affective states in entertainment and educational games, and conceptual, methodological, and technological issues associated with developing emotion recognition models. An overview of emotion recognition research suggests that there is little consensus on what emotions should be measured and how to do it. Moreover, it is still not clear how emotions affect human learning and performance.

Keywords

Emotion Recognition Game Play Intelligent Tutoring System Educational Game Affective Computing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2012

Authors and Affiliations

  1. 1.Educational Psychology and Learning SystemsFlorida State University, University Center C4600TallahasseeUSA
  2. 2.Graduate School of EngineeringNortheastern UniversityBostonUSA

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