Lin Yu-Shan, Chen Shih-Yeh, Tsai Chia-Wei, Lai Ying-Hsun
Department of Information Science and Management Systems, National Taitung University, Taitung, Taiwan.
Department of Computer Science and Information Engineering, National Taitung University, Taitung, Taiwan.
Front Psychol. 2021 Feb 23;12:640115. doi: 10.3389/fpsyg.2021.640115. eCollection 2021.
Given the widespread acceptance of computational thinking (CT) in educational systems around the world, primary and higher education has begun thinking about how to cultivate students' CT competences. The artificial intelligence of things (AIoT) combines artificial intelligence (AI) and the Internet of things (IoT) and involves integrating sensing technologies at the lowest level with relevant algorithms in order to solve real-world problems. Thus, it has now become a popular technological application for CT training. In this study, a novel AIoT learning with Augmented Reality (AR) technology was proposed and explored the effect of CT skills. The students used AR applications to understand AIoT applications in practice, attempted the placement of different AR sensors in actual scenarios, and further generalized and designed algorithms. Based on the results of the experimental course, we explored the influence of prior knowledge and usage intention on students' CT competence training. The results show that proposed AIoT learning can increase students' learning intention and that they had a positive impact on problem solving and comprehension with AR technology, as well as application planning and design.
鉴于计算思维（CT）在世界各地教育系统中得到广泛认可，中小学和高等教育已开始思考如何培养学生的计算思维能力。物联网人工智能（AIoT）将人工智能（AI）与物联网（IoT）相结合，涉及在最低级别整合传感技术与相关算法以解决现实世界问题。因此，它现已成为计算思维训练的一种流行技术应用。在本研究中，提出了一种结合增强现实（AR）技术的新型物联网人工智能学习方法，并探讨了其对计算思维技能的影响。学生使用AR应用程序在实践中理解物联网人工智能应用，尝试在实际场景中放置不同的AR传感器，并进一步归纳和设计算法。基于实验课程的结果，我们探讨了先验知识和使用意图对学生计算思维能力训练的影响。结果表明，所提出的物联网人工智能学习可以提高学生的学习意愿，并且对学生运用AR技术解决问题和理解问题，以及应用规划和设计产生了积极影响。
