Bring the Artificial Intelligence to Tutoring Robots in Education: A Systematic Literature Review

IF 4.9 3区 教育学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS IEEE Transactions on Learning Technologies Pub Date : 2026-01-01 Epub Date: 2024-08-29 DOI:10.1109/TLT.2024.3428366
Xinyue Zhang;Fangqing Zhu;Kun Wang;Guitao Cao;Yaofeng Xue;Mingzhuo Liu
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Abstract

Advances in artificial intelligence technologies have given rise to traditional robotics. Intelligent tutoring robots, supported by artificial intelligence technologies and hardware design, have sparked a new revolution in all walks of traditional education. Despite the growing number of research papers published on intelligent tutoring robots, and a few limited reviews focusing on specific technologies or theoretical aspects, there is still no wide-ranging review work that systematically summarizes the studies from the perspectives of theoretical level and practical implications concluded in experiments. To address this challenge and promote a common understanding of the concept of intelligent tutoring robot, we conducted a systematic literature review of papers published between 2016 and 2023. We investigated the construction of intelligent tutoring robots, the advanced artificial intelligence technologies employed, and intelligent tutoring robots’ applications in educational contexts. From a total of 1751 publications, we selected and analyzed 105 main studies to identify and address three research questions: 1) How does the construction of intelligent tutoring robots affect education? 2) What artificial intelligence technologies enable intelligent tutoring robots to be “intelligent”? 3) How are intelligent tutoring robots applied in educational contexts? In addition, we discuss the challenges of current research and provide an outlook on future development trends to provide guidelines for participators and researchers in the fields of intelligent tutoring robots.
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将智能辅导机器人引入教育:系统性文献综述
人工智能技术的进步催生了传统的机器人技术。在人工智能技术和硬件设计的支持下,智能家教机器人在传统教育的各行各业引发了一场新的革命。尽管关于智能辅导机器人的研究论文越来越多,也有一些针对具体技术或理论方面的有限综述,但目前还没有广泛的综述工作,从理论层面和实验得出的实际意义的角度系统地总结研究。为了应对这一挑战并促进对智能辅导机器人概念的共同理解,我们对2016年至2023年发表的论文进行了系统的文献综述。研究了智能辅导机器人的构建、采用的先进人工智能技术以及智能辅导机器人在教育环境中的应用。从总共1751篇出版物中,我们选择并分析了105篇主要研究,以确定和解决三个研究问题:1)智能辅导机器人的构建如何影响教育?2)哪些人工智能技术可以让智能家教机器人变得“智能”?3)智能辅导机器人如何应用于教育环境?此外,我们还讨论了当前研究面临的挑战,并对未来的发展趋势进行了展望,为智能辅导机器人领域的参与者和研究人员提供指导。
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来源期刊
IEEE Transactions on Learning Technologies
IEEE Transactions on Learning Technologies COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
7.50
自引率
5.40%
发文量
82
审稿时长
>12 weeks
期刊介绍: The IEEE Transactions on Learning Technologies covers all advances in learning technologies and their applications, including but not limited to the following topics: innovative online learning systems; intelligent tutors; educational games; simulation systems for education and training; collaborative learning tools; learning with mobile devices; wearable devices and interfaces for learning; personalized and adaptive learning systems; tools for formative and summative assessment; tools for learning analytics and educational data mining; ontologies for learning systems; standards and web services that support learning; authoring tools for learning materials; computer support for peer tutoring; learning via computer-mediated inquiry, field, and lab work; social learning techniques; social networks and infrastructures for learning and knowledge sharing; and creation and management of learning objects.
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