Artificial Intelligence in Intelligent Tutoring Robots: A Systematic Review and Design Guidelines
Source abstract
Abstract
This study provides a systematic review of the recent advances in designing the intelligent tutoring robot (ITR) and summarizes the status quo of applying artificial intelligence (AI) techniques. We first analyze 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 to explore what AI techniques are suitable to be applied in the ITR. This article provides insights on promoting a human-robot teaching-learning process and AI-assisted educational techniques, which illustrates the design guidelines and future research perspectives in intelligent tutoring robots.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Intelligent Tutoring Systems and Adaptive Learning · Online Learning and Analytics · Robotics and Automated Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Computers, National University of Defense Technology, Changsha 410072, China
Artificial Intelligence Research Center, National Innovation Institute of Defense Technology, Beijing 100071, China
Funding
National Natural Science Foundation of China
References (73)
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