Artificial Intelligence in Intelligent Tutoring Robots: A Systematic Review and Design Guidelines
This work addresses the design of intelligent tutoring robots for educational applications, but it is incremental as it reviews and synthesizes existing research rather than introducing new methods.
The study systematically reviews recent advances in designing intelligent tutoring robots (ITRs) and analyzes the application of AI techniques, proposing a relationship model and a perception-planning-action model to guide AI integration.
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.