A Systematic Review of the IoT in Smart University: Model and Contribution

Q1 Earth and Planetary Sciences
S. Luckyardi, R. Hurriyati, D. Disman, P. Dirgantari
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引用次数: 2

Abstract

The objectives of the review were to identify different implementation aspects of the Internet of Things (IoT) in Smart Universities (SU) from diverse studies, amplify the theories behind the IoT utilization and model in SU; as well as offer recommendations for future research in this area. This study employed a systematic literature review (SLR) technique, conducting comprehensive searches of the most relevant articles to the research question published from 2018 to 2022. Following a review of peer-reviewed journals, a total of 69 refereed articles were chosen and analyzed. The findings of this study suggest that the technology model needs to be aligned and integrated with organizational processes. IoT utilization should meet the adoption readiness of a university. The results also revealed that the creation of SU can be divided into three categories: behavior, learning, educational technology, and physical facilities. However, the literature related to IoT utilization and model is still incoherent and lacking in theoretical frameworks that reflect on specific circumstances such as SU. SU research is still in its early stages, with more work to be done in terms of identifying technology model adoption. The review also contributed to serving as inspiration and a point of reference for institutions as they work with the smart university initiative to create a teaching and learning environment that is more effective and efficient.
智慧大学物联网系统综述:模式与贡献
回顾的目的是从不同的研究中确定物联网(IoT)在智能大学(SU)中的不同实施方面,扩大物联网在SU中的应用和模型背后的理论;并对该领域未来的研究提出建议。本研究采用系统文献综述(SLR)技术,对2018年至2022年发表的与研究问题最相关的文章进行全面检索。在对同行评议的期刊进行审查之后,总共选择并分析了69篇被评审的文章。本研究的结果表明,技术模型需要与组织过程保持一致和集成。物联网的利用应满足大学的采用准备。结果还显示,SU的创建可以分为三个类别:行为,学习,教育技术和物理设施。然而,与物联网利用和模型相关的文献仍然不连贯,缺乏反映SU等具体情况的理论框架。SU研究仍处于早期阶段,在识别技术模型采用方面需要做更多的工作。检讨亦为各院校提供启发和参考,协助它们配合“智慧大学”计划,创造更有效的教与学环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Indonesian Journal of Science and Technology
Indonesian Journal of Science and Technology Engineering-Engineering (all)
CiteScore
11.20
自引率
0.00%
发文量
10
审稿时长
16 weeks
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