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Building an AR-based smart campus platform

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Abstract

With the fast development of artificial intelligence (AI) and Internet of Things (IoT) technologies, we have developed a ubiquitous learning environment. Therefore, the rich learning content can be retrieved and demonstrated according to the learners’ requirements and the context information. To provide an adaptive context-aware ubiquitous learning service of a smart campus, our idea is to combine GPS, sensors and augmented reality (AR) technologies with ubiquitous learning applications to provide multi-disciplinary learning. Therefore, the students can immerse themselves in learning anytime, anywhere. In this study, we firstly show the architecture of the AR-based smart campus platform, and then propose a campus course ontology building algorithm to construct a campus course ontology. Based upon the ontology and the deployed sensors, teachers can design AR-based learning content for points of interest. This study also enhances the case-based reasoning (CBR) approach to enhance the students’ problem solving abilities and facilitate the development of a campus by utilizing domain knowledge and previous user experience. This study proposes four similarity functions for similarity-based case reasoning and knowledge discovery. The proposed methodology can be easily evolved according to either new cases or the feedback to increase the case database, improve reasoning quality, and evolve the similarity measures. Using our platform in the smart campus, students can obtain adaptive learning content according to the requirements and their own characteristics.

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Acknowledgments

This research was partially supported by the Ministry of Science and Technology of the Republic of China, Taiwan, under grants MOST 109-2511-H-468-001-MY2 and MOST 110-2511-H-468-006-MY2. The authors would also like to thank Asia University for supporting the teaching/learning materials.

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Authors and Affiliations

  1. Department of M-Commerce and Multimedia Applications, Asia University, Taichung, Taiwan, Republic of China

    Shian-Shyong Tseng

  2. Department of Information Communication, Asia University, Taichung, Taiwan, Republic of China

    Shih-Nung Chen

  3. Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan, Republic of China

    Tsung-Yu Yang

Authors
  1. Shian-Shyong Tseng
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  2. Shih-Nung Chen
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  3. Tsung-Yu Yang
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Correspondence to Shih-Nung Chen.

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Tseng, SS., Chen, SN. & Yang, TY. Building an AR-based smart campus platform. Multimed Tools Appl 81, 5695–5716 (2022). https://doi.org/10.1007/s11042-021-11702-5

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