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.

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Available from: Zhiqi Shen, Jan 22, 2015
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    • "To do this, several tools are provided to fix particular parameters in the game, generate the rules, create the educational contents, define criteria for winning and ending the game, and revise the game process. More aligned with our proposal, we find the work of [29], who includes an authoring tool for teachers that intends to facilitate the design of educational contents to be included in the educational video games supported by Affective Teachable Agents [34]. In that work, authors propose to divide the knowledge to be taught in goals. "
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    • "Affective computing also applied in several existing pedagogical systems [8] [12] [13] [14] [15] [16] [17]. The typical way of using affective computing in virtual game environment consists of two categories. "
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    • "The teachability reasoning [7] composes of a learning cycle and a reasoning cycle. The learning cycle tracks the changes in relationship links on the concept map drawn by the student learners and compares that to the perceived knowledge in knowledge base for errors. "
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