
TL;DR
This paper introduces an Affective Teachable Agent that proactively interacts with students using emotional expressions, enhancing engagement and learning by combining pedagogical theory with goal-oriented design.
Contribution
It proposes a novel affective teachable agent model with proactive interactions and an authoring tool for educators, addressing limitations of previous teachable agents.
Findings
Agent can interact proactively with students using affective expressions
Agent promotes learning behaviors through goal-oriented interventions
Authoring tool facilitates educator involvement in agent design
Abstract
Teachable Agent (TA) is a special type of pedagogical agent which instantiates the educational theory of Learning by Teaching. Soon after its emergence, research of TA becomes an active field, as it can solve the over scaffolded problem in traditional pedagogical systems, and encourage students to take the responsibility of learning. Apart from the benefits, existing TA design also has limitations. One is the lack of enough proactive interactions with students during the learning process, and the other is the lack of believability to arouse students empathy so as to offer students an immersive learning experience. To solve these two problems, we propose a new type of TA, Affective Teachable Agent, and use a goal oriented approach to design and implement the agent system allowing agents to proactively interact with students with affective expressions. The ATA model begins with the…
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Taxonomy
TopicsIntelligent Tutoring Systems and Adaptive Learning · Social Robot Interaction and HRI · Multi-Agent Systems and Negotiation
