Abstract
With the fast development of artificial intelligence and IoT technologies, ubiquitous learning has become a promising learning paradigm. In AIoT learning environments, it is desirable that the rich learning content is retrieved and demonstrated according to the learners’ requirements and the environmental contexts, such as learners’ profiles, location and time. To provide an adaptive context-aware ubiquitous learning service, our idea is to combine LBS, sensors and AR technologies with ubiquitous learning applications to provide multi-disciplinary learning. Therefore, the real-life campus is used as a learning stage of a different learning style, so that students can immerse themselves in learning anytime, anywhere. In this research, taking the campus of Asia University as an example, we firstly propose a campus ontology building algorithm to construct a campus ontology. Based upon the ontology and the deployed sensors, teachers can design AR-based learning content for points of interest. Using our system, students can obtain adaptive learning content according to the requirements and their own characteristics. Experimental results show that the proposed approach can increase the learning performance of students.
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Acknowledgment
This research was partially supported by the Ministry of Science and Technology of the Republic of China, Taiwan, under grants MOST 108-2511-H-468-005-MY2 and MOST 106-2511-S-468-002-MY3, and Asia University of the Republic of China, Taiwan, under Contract No. 107-ASIA-03. The authors would also like to thank Asia University for supporting the teaching/learning materials.
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Tseng, SS., Chen, SN., Yang, TY. (2021). Developing an AR-Based Ubiquitous Learning System for a Smart Campus. In: Barolli, L., Poniszewska-Maranda, A., Park, H. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing . IMIS 2020. Advances in Intelligent Systems and Computing, vol 1195. Springer, Cham. https://doi.org/10.1007/978-3-030-50399-4_39
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DOI: https://doi.org/10.1007/978-3-030-50399-4_39
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