Pedagogical Agents: Pedagogical Interventions via Integration of Task-oriented and Socially Oriented Conversation

The paper discusses the motivation for and outcome of the addition of socially oriented so called “off-task” conversational abilities to an existing “teachable agent” (TA) in an educational mathematics game. The purpose of the extension is to affect constructs known to promote learning, such as self-efficacy and engagement, as well as enhancing students’ experiences of the game. A comparison of students that played the educational game with the off-task interaction included to those who played without it, indicate that the former had a more positive experience of the game, and that they also learnt more in the sense of teaching their TA better. The potential for pedagogical interventions in this and similar systems is discussed as well as differences found between high- and low-achievers. (Less)

[1]  Timothy W. Bickmore,et al.  Engagement vs. Deceit: Virtual Humans with Human Autobiographies , 2009, IVA.

[2]  Stephan Hamann,et al.  Cognitive and neural mechanisms of emotional memory , 2001, Trends in Cognitive Sciences.

[3]  R. Jakobson Linguistics and poetics , 1960 .

[4]  Daniel L. Schwartz,et al.  Learning by Guiding a Teachable Agent to Play an Educational Game , 2009, AIED.

[5]  T. Bickmore Relational agents : effecting change through human-computer relationships , 2003 .

[6]  Carolyn Penstein Rosé,et al.  Supporting students working together on math with social dialogue , 2007, SLaTE.

[7]  Jonathan P. Rowe,et al.  Off-Task Behavior in Narrative-Centered Learning Environments , 2009, AIED.

[8]  Yanghee Kim,et al.  MathGirls: Increasing Girls?Positive Attitudes and Self-Efficacy through Pedagogical Agents , 2007 .

[9]  Annika Silvervarg,et al.  Building a Social Conversational Pedagogical Agent: Design Challenges and Methodological approaches , 2010 .

[10]  Sid Bourke,et al.  Assessing affective characteristics in the schools , 1981 .

[11]  Gautam Biswas,et al.  Extending Intelligent Learning Environments with Teachable Agents to Enhance Learning , 2001 .

[12]  A. Bandura,et al.  Cultivating competence, self-efficacy, and intrinsic interest through proximal self-motivation. , 1981 .

[13]  Arthur C. Graesser,et al.  AutoTutor: an intelligent tutoring system with mixed-initiative dialogue , 2005, IEEE Transactions on Education.

[14]  Annika Silvervarg,et al.  Design for Off-task Interaction - Rethinking Pedagogy in Technology Enhanced Learning , 2010, 2010 10th IEEE International Conference on Advanced Learning Technologies.

[15]  Daniel L. Schwartz,et al.  Teachable Agents and the Protégé Effect: Increasing the Effort Towards Learning , 2009 .

[16]  Gregor Mehlmann,et al.  Multiple Agent Roles in an Adaptive Virtual Classroom Environment , 2010, IVA.

[17]  Hiroshi Nakajima,et al.  We learn better together: enhancing eLearning with emotional characters , 2005, CSCL.

[18]  Magnus Haake,et al.  Matching and mismatching between the pedagogical design principles of a math game and the actual practices of play , 2011, J. Comput. Assist. Learn..

[19]  Carolyn Penstein Rosé,et al.  Exploring the Effectiveness of Social Capabilities and Goal Alignment in Computer Supported Collaborative Learning , 2010, Intelligent Tutoring Systems.

[20]  Lena Pareto A Teachable Agent Game for Elementary School Mathematics promoting Causal Reasoning and Choice , 2010 .

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