Adaptive Multi-Agent Architecture to Track Students' Self-Regulated Learning.
Babak Khosravifar, Roger Azevedo, Reza Feyzi-Behnagh, Michelle Taub, Gautam Biswas, John S. Kinnebrew · 2013
Abstract. Intelligent Tutoring Systems (ITS) can be designed to improve learning and performance through Pedagogical Agents (PAs) that are designed tofoster self-regulated learning through interactions andexchange ofinformation withhumanlearners. PAsare intelligent andfollow rational behaviors, but to adaptively track students ’ progress, they need to be systematically and specifically designed. However, in order to follow a common goal, different self-regulatory systems have been designed that use PAs, but fail to provide an adaptive multi-agent architecture which provides such feature that agents adaptively track students ’ scaffolding. In this paper, we introduce a multi-agent framework designed for an agent-based ITS. We also define the agent architecture, multi-agent framework and communication mechanism.