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Articles

Study on enhancing AIoT computational thinking skills by plot image-based VR

ORCID Icon, , , & ORCID Icon
Pages 482-495 | Received 14 Jul 2018, Accepted 06 Feb 2019, Published online: 27 Feb 2019
 

ABSTRACT

Due to their applications on varied and complex issues, Artificial Intelligence (AI) and Internet of Things (IoT) (collectively, AIoT) have become popular new-generation courses, but the learning of such courses needs to consider actual situations and to analyze complicated problems, making it difficult for students to improve their academic performance. The concept of computational thinking education is to allow students to find solutions to problems in different fields by understanding the problems and analyzing solution steps. In this study, we integrate the concept of computational thinking education into a course on plot image-based virtual reality (VR). It combined shooting of the actual field, instructions on the movie required to be shot, and VR in order to enable students to get immersed in thinking about problems and understanding the actual field through plot image-based VR, further plan to learn the essence of problems, and develop possible solutions. Through experimental results of experimental and control groups, we found that plot image-based VR can effectively improve students’ interests in learning and computational thinking.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This study is supported in part by the Ministry of Science and Technology of the Republic of China under contract number [MOST 107-2511-H-008-007, MOST 107-2511-H-019-003, MOST 106-2511-S-143-002-MY2, MOST 107-2622-S-006-001-CC3 and MOST 107-2511-H-143-004].

Notes on contributors

Ying-Hsun Lai

Ying-Hsun Lai is an assistant professor at the Department of Computer Science and Information Engineering, National Taitung University, Taiwan. His research interests are embedded systems, IoTs applications, cloud computing, and artificial intelligence in education.

Shih-Yeh Chen

Shih-Yeh Chen is an assistant professor at the Department of Computer Science and Information Engineering, National Taitung University, Taiwan. His research interests are AIoTs applications, cloud and mobile applications, and e-learning.

Chin-Feng Lai

Chin-Feng Lai is an associate professor at the Department of Engineering Science, National Cheng Kung University, Taiwan. His research interests are body sensor networks, cloud-assisted multimedia network, e-healthcare, mobile cloud computing, and computational thinking.

Yao-Chung Chang

Yao-Chung Chang is a professor at the Department of Computer Science and Information Engineering, National Taitung University, Taiwan. His research interests are intelligent communication system, IoT, cloud computing, and computational thinking.

Yu-Sheng Su

Yu-Sheng Su is an assistant professor at the Department of Computer Science and Engineering, the National Taiwan Ocean University, Taiwan. His research interests are AIoT applications, social media mining, cloud computing, and computational thinking.

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