计算思维
计算机科学
人机交互
模式(计算机接口)
机器人
课程
认知负荷
实证研究
路径(计算)
认知
空间能力
虚拟现实
模拟
机器人学习
多媒体
钥匙(锁)
人工智能
学习效果
微分效应
教育机器人学
机器人学
可视化程序设计语言
体验式学习
作者
Xin Gong,Yurou Yan,Yuhe Wang,Shufan Yu
标识
DOI:10.1177/07356331261440892
摘要
Computational thinking (CT) and spatial thinking (ST) are pivotal key competencies for K-12 learners, with robot programming acting as a pivotal medium for fostering them. However, prior research has yet to systematically investigate the differential support that VR and desktop modes provide for the growth of CT and ST. This study aimed to examine the impacts of these modes on learners’ CT and ST performance and learning experience in robot programming. An experiment was conducted with 61 recruited participants, divided into a VR mode ( N = 30) and a desktop mode ( N = 31). Both modes completed four progressive difficulty tasks involving 3D maze construction and robot path programming. Results showed that the VR mode significantly outperformed the desktop mode in ST. In contrast, the desktop mode excelled in CT. Cognitive load did not differ significantly between the two modes, but the VR mode exhibited higher learning engagement and perceived usefulness. Findings highlight the divergent strengths of the two modes, providing targeted empirical guidance for selecting instructional tools and designing curricula in K-12 robot programming education.
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