Smart campus: definition, framework, technologies, and services

Abstract

As the high-end form of a smart education system, the smart campus has received increasing research attention over the world. Owing to the multidisciplinary nature of the smart campus, the existing research is mostly one-ended on either the state-or-the-art technologies or the innovative education concepts but lacks a deep fusion view on them and omits the smart campus implication on other smart city domains. This study highlights the interdisciplinary view on smart campus. Based on an integral review on the supporting technologies and existing smart campus propositions, a human-centred learning-oriented smart campus is envisaged, defined and framed up, primarily aiming at meeting stakeholders' interests and elevating educational performance in pace of the technology development, as well as discussing the interdisciplinary factors that either promote or constrain the smart campus revolution. The expected contribution throughout this study is to provide a benchmark reference of a smart campus for international educational providers, government, and technological companies providing such services.

Success Factors Influencing Citizens’ Adoption of IoT Service Orchestration for Public Value Creation in Smart Government

“…A smart (public) university campus can be managed by using IoT devices for classroom management, an on-campus cashless payment system, and smart security [114]. IoT automates the operation of smart campuses and makes the teaching and learning process smooth so that stakeholders can focus on learning activities [115]. IoT can provide convenient access to all campus devices through web technologies that can be accessed anywhere in the world through computing devices [116].…”

PureEdgeSim: A simulation framework for performance evaluation of cloud, edge and mist computing environments

“…To model the different possibilities, four types of applications with different characteristics are used (Table 2): (i) A health application: The data generated by wearables will not exceed a few kilobytes and will not use significant processing power [28]. (ii) An augmented reality application [30]: The data sent is an image, usually about 1 Mbyte in size. (iii) Other heavy computing tasks requiring additional computing power, e.g., machine learning, may also be included [30].…”

“…(ii) An augmented reality application [30]: The data sent is an image, usually about 1 Mbyte in size. (iii) Other heavy computing tasks requiring additional computing power, e.g., machine learning, may also be included [30]. (iv) An infotainment application [31].…”

Facilitating Successful Smart Campus Transitions: A Systems Thinking-SWOT Analysis Approach

“…Corroborating the categorization by Muhammad et al [39], Dong et al [40] reiterated the need for Smart Campus definitions to be based on an articulation of the prime function of the university as an educational institution with emphasis on meeting the expectations of relevant stakeholders. They defined a Smart Campus as "an educational environment that is penetrated with enabling technologies for smart services to enhance educational performance while meeting stakeholders' interests, with broad interactions with other interdisciplinary domains in the Smart City context" (p4).…”