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Zehang Xie; Xinzhu Wu; Yunxiang Xie – Journal of Computer Assisted Learning, 2024
Background: With the development of artificial intelligence (AI) technology, generative AI has been widely used in the field of education and represents a groundbreaking shift in overcoming the constraints of time and space within educational activities. However, previous literature has not paid enough attention to AI-involved teaching patterns,…
Descriptors: Longitudinal Studies, Undergraduate Students, Robotics, Technology Uses in Education
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Chen, Ching-Huei; Yang, Chin-Kun; Huang, Kun; Yao, Kai-Chao – Journal of Computer Assisted Learning, 2020
Robotics education has received an increasing attention in recent years as a means to build students' motivation, team collaboration skills, and other valuable 21st century competencies. Yet there is a lack of experimental studies to investigate and identify strategies to facilitate robotics education. This study adopted a 2 × 2 quasi-experimental…
Descriptors: Computer Simulation, Competition, Robotics, 21st Century Skills
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So, W.-C.; Wong, M. K.-Y.; Cabibihan, J.-J.; Lam, C. K.-Y.; Chan, R. Y.-Y.; Qian, H.-H. – Journal of Computer Assisted Learning, 2016
School-aged children with autism spectrum disorders (ASDs) have delayed gestural development, in comparison with age-matched typically developing children. In this study, an intervention program taught children with low-functioning ASD gestural comprehension and production using video modelling (VM) by a computer-generated robot animation. Six to…
Descriptors: Robotics, Animation, Nonverbal Communication, Young Children