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Zhong, Baichang; Xia, Liying – Journal of Computer Assisted Learning, 2022
Background: Although some researchers have applied both cooperation and competition in the practice of robotics education, most of these practices were not systematic, and there was no integration design for intra-group cooperation and inter-group competition. Objectives: The study aims to examine the effects of different coopetition designs on…
Descriptors: Robotics, Cooperation, Competition, Elementary School Students
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Zhong, Baichang; Liu, Xiaofan; Xia, Liying; Sun, Wang – SAGE Open, 2022
Many countries and regions have reached a consensus to promote science, technology, engineering, and mathematics (STEM) education in the past decade. A body of studies have demonstrated that the design and organization of interdisciplinary teaching activities are important for the effective implementation of STEM education. So far, however, little…
Descriptors: STEM Education, Models, Teaching Methods, Robotics
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Chen, Xieling; Cheng, Gary; Zou, Di; Zhong, Baichang; Xie, Haoran – Educational Technology & Society, 2023
As a human-friendly system, the artificial intelligence (AI) robot is one of the critical applications in promoting precision education. Alongside the call for humanity-oriented applications in education, AI robotsupported precision education has developed into an active field, with increasing literature available. This study aimed to…
Descriptors: Artificial Intelligence, Robotics, Technology Uses in Education, Man Machine Systems
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Zhong, Baichang; Liu, Xiaofan; Huang, Yu – Journal of Educational Computing Research, 2023
Robotics Education (RE) is viewed as a tool to narrow the gender gap in STEM fields, especially for promoting girls' learning. As an emerging and potential model in RE, Pair Learning (PL) is different from Individual Learning (IL), which is impacted by many factors. Among them, social factors need to be further explored. Therefore, this study…
Descriptors: Foreign Countries, Elementary School Students, Grade 5, Control Groups
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Zhong, Baichang; Wang, Yanxia – International Journal of Technology and Design Education, 2021
Pair learning (PL) in robotics education is derived from pair programming, and impacted by many factors. Two important factors were identified including roles assignment and learning styles in this study. The roles assignment involved Driver-Navigator Pair and Software-Hardware Pair. For the learning style, the dimension of active/reflective was…
Descriptors: Cooperative Learning, Role, Robotics, Cognitive Style
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Zhong, Baichang; Zheng, Jijun; Zhan, Zehui – Interactive Learning Environments, 2023
This study examined the effects of virtual and physical robots (VPR) using in different learning stages (simple session/complex session) in a robotics programming course. A quasi-experimental design was implemented with 84 junior high school students from two classes. One class with 44 students used combination of VPR strategy for learning,…
Descriptors: Robotics, Programming, Junior High School Students, Educational Technology
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Zhong, Baichang; Si, Qiuju – Journal of Educational Computing Research, 2021
Studies have indicated the importance of scaffolding in the problem-solving process, as well as the potential of integrating learning content into the troubleshooting tasks. However, few have explored in depth the learning process during troubleshooting via scaffolds while also taking students' cognitive load into account. To address this issue,…
Descriptors: Troubleshooting, Scaffolding (Teaching Technique), Instructional Effectiveness, Difficulty Level
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Zhong, Baichang; Li, Tingting – Journal of Educational Computing Research, 2020
In Robotics Education (RE), the hands-on experience with troubleshooting problems is seen as a good catalyst to enhance the participants' problem-solving skills. Based on the pedagogical technique of collaborative learning and pair programming, pair learning is an emerging and potential method in RE, which means that students collaborate in pairs…
Descriptors: Robotics, Troubleshooting, Problem Solving, Teaching Methods
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Zhong, Baichang; Xia, Liying – International Journal of Science and Mathematics Education, 2020
By providing students with a highly interactive and hands-on learning experience, robotics promises to inspire a new generation of mathematical learning. This paper aims to review the empirical evidence on the application of robotics in mathematics education and to define future research perspectives of robot-assisted mathematics education. After…
Descriptors: Robotics, Technology Uses in Education, Mathematics Education, Educational Benefits