The Effects of Motivational Modeling on Affect in an Intelligent Tutoring System

A motivationally-aware version of the Ecolab system was developed with the aim of improving the learners’ motivation. To gain some insight into the effects of motivational modeling on students’ affective states, we observed the affect of 180 students interacting with either Ecolab or M-Ecolab. The affective states considered were based on existing coding schemes [10]. The results suggest that the motivationally-aware tutoring system seems to maintain students’ delight over time. However, it seems the motivational interventions did not create new “virtuous cycles” of positive affect [10], or disrupt “vicious cycles”, where a student persists in a negative affective state.

[1]  Jacob Cohen A Coefficient of Agreement for Nominal Scales , 1960 .

[2]  Ryan Shaun Joazeiro de Baker,et al.  Comparing Learners' Affect While Using an Intelligent Tutoring System and a Simulation Problem Solving Game , 2008, Intelligent Tutoring Systems.

[3]  J. Keller Strategies for stimulating the motivation to learn , 1987 .

[4]  James C. Lester,et al.  Early Prediction of Student Frustration , 2007, ACII.

[5]  A. Rollett,et al.  The Monte Carlo Method , 2004 .

[6]  Zhi-Hong Chen,et al.  Motivating Learners by Nurturing Animal Companions: My-Pet and Our-Pet , 2005, AIED.

[7]  J. Eastern Making Learning Fun , 2009 .

[8]  BakerRyan S. J. d.,et al.  Better to be frustrated than bored , 2010 .

[9]  Rose Luckin,et al.  Ecolab: the development and evaluation of a Vygotskian design framework , 1999 .

[10]  Rosemary Luckin,et al.  Motivating the Learner: An Empirical Evaluation , 2006, Intelligent Tutoring Systems.

[11]  A. Graesser,et al.  Monitoring Affective Trajectories during Complex Learning , 2007 .

[12]  Ryan Shaun Joazeiro de Baker,et al.  Off-task behavior in the cognitive tutor classroom: when students "game the system" , 2004, CHI.

[13]  Ashish Kapoor,et al.  Automatic prediction of frustration , 2007, Int. J. Hum. Comput. Stud..

[14]  Rosalind W. Picard,et al.  An affective model of interplay between emotions and learning: reengineering educational pedagogy-building a learning companion , 2001, Proceedings IEEE International Conference on Advanced Learning Technologies.

[15]  Cristina Conati,et al.  Building and evaluating an intelligent pedagogical agent to improve the effectiveness of an educational game , 2004, IUI '04.

[16]  Ryan Shaun Joazeiro de Baker,et al.  The Dynamics of Affective Transitions in Simulation Problem-Solving Environments , 2007, ACII.

[17]  Jonathan Klein,et al.  This computer responds to user frustration , 1999, CHI Extended Abstracts.

[18]  E. Vesterinen,et al.  Affective Computing , 2009, Encyclopedia of Biometrics.

[19]  Ryan Shaun Joazeiro de Baker,et al.  Affect and Usage Choices in Simulation Problem-Solving Environments , 2007, AIED.

[20]  Scotty D. Craig,et al.  Affect and learning: An exploratory look into the role of affect in learning with AutoTutor , 2004 .