Measuring the Impact of Emotion Awareness on e-learning Situations

The adoption of emotion awareness features in learning environments, has been put on the focus of the research agenda towards students' engagement and their authentic social interaction. In the current paper we provide a solution towards the provision of e-learning with emotion awareness features, which is based on self-reporting of emotions and affective response from the system. We also present research findings derived from two experiments with undergraduate students: in the University of Aegean (UoA) and the Open University of Catalonia (UoC). Finally, we set open questions for future research.

[1]  A. Damasio,et al.  We feel, therefore we learn: The relevance of affective and social neuroscience to education. , 2007 .

[2]  R. Pekrun.  The impact of emotions on learning and achievement : towards a theory of cognitive/motivational mediators , 1992 .

[3]  Arthur C. Graesser,et al.  Multimethod assessment of affective experience and expression during deep learning , 2009, Int. J. Learn. Technol..

[4]  Rafael A. Calvo,et al.  Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications , 2010, IEEE Transactions on Affective Computing.

[5]  Rafael A. Calvoa,et al.  Two approaches for the design of affective computing environments for education , 2009 .

[6]  Anne C. Frenzel,et al.  Measuring emotions in students learning and performance: The Achievement Emotions Questionnaire (AE , 2011 .

[7]  Jordi Conesa,et al.  Design of an emotion aware e-learning system , 2012, Int. J. Knowl. Learn..

[8]  Jordi Conesa,et al.  Providing emotion awareness and affective feedback to virtualised collaborative learning scenarios , 2014 .

[9]  M. Baker,et al.  Affective learning together : social and emotional dimensions of collaborative learning , 2013 .

[10]  M. Baker,et al.  Paper and computers: gender differences in children's conversations in collaborative activities , 2013 .

[11]  P. Ekman,et al.  Facial action coding system: a technique for the measurement of facial movement , 1978 .

[12]  Rob Reilly,et al.  Analytical Models of Emotions , Learning and Relationships : Towards an Affect-sensitive Cognitive Machine , 2001 .

[13]  P. Zimmermann.  Beyond usability: measuring aspects of user experience , 2008 .

[14]  T. Hascher.  Learning and Emotion: Perspectives for Theory and Research , 2010 .

[15]  M. Boekaerts,et al.  Being Concerned With Well-Being and With Learning , 1993 .

[16]  Paul Dourish,et al.  How emotion is made and measured , 2007, Int. J. Hum. Comput. Stud..

[17]  M. Feidakis,et al.  Responding affectively in online learning situations , 2012, 2012 International Symposium on Computers in Education (SIIE).

[18]  A. Damasio.  Descartes' error: emotion, reason, and the human brain. avon books , 1994 .

[19]  P. Schutz,et al.  Educational Psychology Perspectives on Teachers’ Emotions , 2009 .

[20]  Thanasis Daradoumis,et al.  Emotion Measurement in Intelligent Tutoring Systems: What, When and How to Measure , 2011, 2011 Third International Conference on Intelligent Networking and Collaborative Systems.

[21]  Thanasis Daradoumis,et al.  Endowing e-Learning Systems with Emotion Awareness , 2011, 2011 Third International Conference on Intelligent Networking and Collaborative Systems.

[22]  Jordi Conesa,et al.  A Dual-Modal System that Evaluates User's Emotions in Virtual Learning Environments and Responds Affectively , 2013, J. Univers. Comput. Sci..

[23]  J. Russell.  A circumplex model of affect. , 1980 .

[24]  Maria Wong,et al.  Emotion Assessment in Evaluation of Aective Interfaces , 2006 .

[25]  Thanasis Daradoumis,et al.  CC-LO: Embedding Interactivity, Challenge and Empowerment into Collaborative Learning Sessions , 2012, Journal of universal computer science (Online).

[26]  James C. Lester,et al.  Evaluating the consequences of affective feedback in intelligent tutoring systems , 2009, 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops.

[27]  Arthur C. Graesser,et al.  Automatic detection of learner’s affect from conversational cues , 2008, User Modeling and User-Adapted Interaction.