Emotional scaffolding with respect to time factors in Networking Collaborative Learning Environments

With regard to learning, emotional considerations have been included in the research agenda for a long time and literature offers a variety of studies evaluating the role of emotions in different settings (class, tests and exams, studying at home, etc.). This knowledge and experience has tentatively begun to endow intelligent network systems with emotion assessment and affective feedback capabilities, although the process is still in its infancy. This paper reviews emotional aspects in learning and affect recognition as well as feedback strategies. In the described strategies, the need for considering the time factor is also stressed.

[1]  Joseph E LeDoux.  Emotion Circuits in the Brain , 2000 .

[2]  R. Pekrun.  The Control-Value Theory of Achievement Emotions: Assumptions, Corollaries, and Implications for Educational Research and Practice , 2006 .

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

[4]  K. Scherer,et al.  Handbook of affective sciences. , 2003 .

[5]  Mor Naaman,et al.  Network properties and social sharing of emotions in social awareness streams , 2011, CSCW.

[6]  Joseph E LeDoux.  The Emotional Brain: The Mysterious Underpinnings of Emotional Life , 1996 .

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

[8]  Dirk Heylen,et al.  Affective Feedback in a Tutoring System for Procedural Tasks , 2004, ADS.

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

[10]  Rosalind W. Picard.  Affective Computing , 1997 .

[11]  Ning Wang,et al.  The politeness effect: Pedagogical agents and learning outcomes , 2008, Int. J. Hum. Comput. Stud..

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

[13]  Reinhard Pekrun,et al.  The structure of students' emotions experienced during a mathematical achievement test , 2005 .

[14]  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.

[15]  Diane J. Litman,et al.  Designing and evaluating a wizarded uncertainty-adaptive spoken dialogue tutoring system , 2011, Comput. Speech Lang..

[16]  Paul A. Kirschner,et al.  Identifying the pitfalls for social interaction in computer-supported collaborative learning environments: a review of the research , 2003, Comput. Hum. Behav..

[17]  P. Zimmermann,et al.  Affective Computing—A Rationale for Measuring Mood With Mouse and Keyboard , 2003, International journal of occupational safety and ergonomics : JOSE.

[18]  B. Parkinson.  Ideas and realities of emotion , 1995 .

[19]  J. Walther.  Interpersonal Effects in Computer-Mediated Interaction , 1992 .

[20]  Francis Tuerlinckx,et al.  The relation between event processing and the duration of emotional experience. , 2011, Emotion.

[21]  V. Shute.  Focus on Formative Feedback , 2007 .

[22]  Kasia Muldner,et al.  Emotion Sensors Go To School , 2009, AIED.

[23]  Jack Mostow,et al.  Experimentally augmenting an intelligent tutoring system with human-supplied capabilities: adding human-provided emotional scaffolding to an automated reading tutor that listens , 2002, Proceedings. Fourth IEEE International Conference on Multimodal Interfaces.

[24]  Diana Laurillard,et al.  The pedagogical challenges to collaborative technologies , 2009, Int. J. Comput. Support. Collab. Learn..