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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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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