Conference Paper

Affective Teachable Agent in VLE: A Goal Oriented Approach.

DOI: 10.1109/ICALT.2011.38 Conference: ICALT 2011, 11th IEEE International Conference on Advanced Learning Technologies, Athens, Georgia, USA, 6-8 July 2011
Source: DBLP

ABSTRACT Teachable agent is a type of pedagogical agent which instantiates Learning-by-Teaching theory through simulating a "naive" learner in order to motivate students to teach it. This paper discusses existing teachable agent systems and proposes an affective teachable agent based on goal oriented modeling in Virtual Learning Environment (VLE). The proposed agent is more initiative and believable as it is able to behave according to its own goals accompanied with expressions of emotions. A use case study illustrates the effectiveness of this approach.

Download full-text

Full-text

Available from: Zhiqi Shen, Jan 22, 2015
1 Follower
 · 
134 Views
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Inter-generational games provide a lot of benefits for elderlies’ life. When playing those games, players’ emotional statuses are also very difficult to be detected and observed. In order to identify player’s emotions and to compute the intensity of emotions, we propose a novel method, based on OCC emotional theory and Fuzzy Cognitive Maps model, to compute affects according to internal goal desirability of players and external event consequence of the game world. Two case studies are provided to illustrate the modeling and simulating process in this paper. The result shows that in some degree emotions can be predicted and computed by this method during the game.
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Teachable agents are pedagogical agents based on the concept of learning-by-teaching. Persuasion theory enhances the capabilities of teachable agents by influencing positive attitude change in learners. This paper proposes Persuasive Teachable Agent (PTA) that enables the selection of persuasive strategies based on persuasion theory to improve learning attitudes. In a preliminary study involving PTA, learners were observed to display increased interest in engaging in learning activities with the teachable agent.
    Advanced Learning Technologies (ICALT), 2013 IEEE 13th International Conference on; 01/2013
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: During playing educational game, the emotion of players can be affected by many aspects, for example the play time, the study time, and achievements etc. Player's emotional status is an internal, dynamic and comprehensive factor that is hard to be detected or predicted by system, which may consist of the interestingness to the game, the internal status of player, or the excitement to the score and so on. In order to predict student's emotional status and to simulate relative emotion state transitions during playing game, we propose a novel method, based on Fuzzy Cognitive Maps (FCMs) modeling method. Several experiments and simulations are provided to illustrate the approach and modeling process in this paper. The results show that players'emotion states can be simulated and computed relatively in educational game by the method.
    2012 7th International Conference on Computing and Convergence Technology (ICCCT 2012), Seoul; 12/2012