Artificial Intelligence in Intelligent Tutoring Robots: A Systematic Review and Design Guidelines

February 26, 2019 Β· Declared Dead Β· πŸ› Applied Sciences

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Authors Jinyu Yang, Bo Zhang arXiv ID 1903.03414 Category cs.AI: Artificial Intelligence Cross-listed cs.CY, cs.HC Citations 57 Venue Applied Sciences Last Checked 4 months ago
Abstract
This study provides a systematic review of the recent advances in designing the intelligent tutoring robot (ITR), and summarises the status quo of applying artificial intelligence (AI) techniques. We first analyse the environment of the ITR and propose a relationship model for describing interactions of ITR with the students, the social milieu and the curriculum. Then, we transform the relationship model into the perception-planning-action model for exploring what AI techniques are suitable to be applied in the ITR. This article provides insights on promoting human-robot teaching-learning process and AI-assisted educational techniques, illustrating the design guidelines and future research perspectives in intelligent tutoring robots.
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