Digital Twins of Pet Robots to Prolong Interdependent Relationships and Effects on Student Learning Performance

IF 2.9 3区 教育学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS IEEE Transactions on Learning Technologies Pub Date : 2024-06-27 DOI:10.1109/TLT.2024.3416209
Vando Gusti Al Hakim;Su-Hang Yang;Jen-Hang Wang;Hung-Hsuan Lin;Gwo-Dong Chen
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Abstract

The use of robots in education has the potential to engage students in learning activities and aims to form lasting relationships with them. To encourage sustainable, long-term human–robot interactions, a promising approach is to cultivate a pet-like, interdependent relationship. However, the potential of such relationships in education remains unclear, and the limited availability of robots in classrooms necessitates flexible and scalable designs. To address these challenges, this study leverages digital twin technology to facilitate ubiquitous engagement with pet robots, thereby prolonging interdependent relationships through a SeamlessPet robot learning approach. Here, students engaged with both virtual and physical pet robots, enabling realistic and continuous interactions akin to communicating directly with a physical robot. This integration ensured consistent availability and authentic interactions, enhancing educational outcomes demonstrated in situational presentations. An experiment with 70 university students in a Japanese Hospitality Management Program in Taiwan demonstrated that this approach resulted in better learning achievements and fostered a positive learning experience. The pet-like features embedded within the digital twin robots played a vital role in fostering prolonged learning participation, empowering students to take ownership of their learning, stay motivated, and feel supported at any time and from anywhere in the learning process. Educators and curriculum developers are encouraged to consider this approach, particularly in courses with a final project presentation that uses a robot to demonstrate study results.
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数字双胞胎宠物机器人延长相互依存关系及对学生学习成绩的影响
在教育中使用机器人有可能吸引学生参与学习活动,并与他们建立持久的关系。为了鼓励可持续的、长期的人机互动,一种有前途的方法是培养一种类似宠物的、相互依存的关系。然而,这种关系在教育领域的潜力尚不明确,而且教室里的机器人数量有限,因此需要灵活、可扩展的设计。为了应对这些挑战,本研究利用数字孪生技术促进与宠物机器人无处不在的接触,从而通过无缝宠物机器人学习方法延长相互依存关系。在这里,学生同时与虚拟和实体宠物机器人接触,实现了类似于与实体机器人直接交流的逼真和持续的互动。这种整合确保了持续的可用性和真实的互动,提高了情景演示中展示的教育成果。在台湾进行的一项针对日本酒店管理专业 70 名大学生的实验表明,这种方法提高了学习成绩,并促进了积极的学习体验。数字孪生机器人内嵌的类似宠物的功能在促进学生长时间参与学习方面发挥了重要作用,使学生能够掌握学习的主动权,保持学习动力,并在学习过程中随时随地感受到支持。我们鼓励教育工作者和课程开发人员考虑采用这种方法,特别是在使用机器人展示学习成果的期末项目展示课程中。
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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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