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Evaluation of the Established IoT Smart Home Robot Teaching Module Based on Embedded Thematic-Approach Strategy

机译:基于嵌入式主题方法策略的物联网智能家居机器人教学模块评价

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摘要

Artificial intelligence (AI) technology-based intelligent robots are constructed using different technologies, such as Internet of Things (IoT), big data, deep learning, machine learning, neural network, and expert system. This particular type of robots can increase the work efficiency of humans and improve their quality of life. From the industry perspective, AI robots possess unlimited potential for development, and they are projected to be a 10-trillion-dollar industry. In this study, the critical technology of IoT is applied to develop a teaching module for an IoT smart home robot. Teaching and evaluation are performed through an embedded thematic-approach teaching strategy in the course named Automatic Measurement and Monitoring. This research aims to teach students how to integrate IoT technology into robot design and construction to build IoT smart home robots. This cross-disciplinary research incorporates emerging technology-integration of smart home, robot construction, and IoT technologies-into industrial education, teaching material and equipment development, and experimental teaching and evaluation. The participating students were juniors or seniors from the Department of Electrical Engineering or Electromechanical Engineering at the University of Technology.
机译:基于人工智能 (AI) 技术的智能机器人使用不同的技术构建,例如物联网 (IoT)、大数据、深度学习、机器学习、神经网络和专家系统。这种特殊类型的机器人可以提高人类的工作效率并改善他们的生活质量。从行业角度来看,AI机器人拥有无限的发展潜力,预计是一个10万亿美元的产业。本研究应用物联网关键技术开发物联网智能家居机器人教学模块。教学和评估是通过名为“自动测量和监控”的课程中嵌入的主题方法教学策略进行的。本研究旨在教学生如何将物联网技术集成到机器人设计和建造中,以构建物联网智能家居机器人。这项跨学科研究将新兴技术——智能家居、机器人建造和物联网技术的集成——融入工业教育、教材和设备开发以及实验教学和评估。参赛学生为科技大学电机工程系或机电工程系的大三或大四学生。

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