Building a smart campus to support ubiquitous learning

Atif, Yacine; Mathew, Sujith Samuel; Lakas, Abderrahmane

doi:10.1007/s12652-014-0226-y

Cited by 87 publications

(43 citation statements)

References 44 publications

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“…It must be first clarified that the term "smart campus" has been used in the past to refer to digital online platforms that manage university content [17,18] or to the set of techniques aimed at increasing university student smartness [19][20][21]. However, in this article, the concept of smart campus refers to the hardware and software required to provide advanced intelligent context-aware services and applications to university students and staff.…”

Section: Definitions Of Smart Campus and Smart Universitymentioning

confidence: 99%

Towards Next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and Universities

2019

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Smart campuses and smart universities make use of IT infrastructure that is similar to the one required by smart cities, which take advantage of Internet of Things (IoT) and cloud computing solutions to monitor and actuate on the multiple systems of a university. As a consequence, smart campuses and universities need to provide connectivity to IoT nodes and gateways, and deploy architectures that allow for offering not only a good communications range through the latest wireless and wired technologies, but also reduced energy consumption to maximize IoT node battery life. In addition, such architectures have to consider the use of technologies like blockchain, which are able to deliver accountability, transparency, cyber-security and redundancy to the processes and data managed by a university. This article reviews the state of the start on the application of the latest key technologies for the development of smart campuses and universities. After defining the essential characteristics of a smart campus/university, the latest communications architectures and technologies are detailed and the most relevant smart campus deployments are analyzed. Moreover, the use of blockchain in higher education applications is studied. Therefore, this article provides useful guidelines to the university planners, IoT vendors and developers that will be responsible for creating the next generation of smart campuses and universities.

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Section: Definitions Of Smart Campus and Smart Universitymentioning

confidence: 99%

Towards Next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and Universities

2019

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“…The existing models and processes in smart cities act as a guide for this work. Based on this, several pillars that are part of smart cities are included in the analysis of university campuses, maintaining the difference in scales as a reference [37]. Therefore, a university campus is considered a controlled representation at the scale of a city.…”

Section: Methodsmentioning

confidence: 99%

“…The first consideration was that the works related to smart cities addressed the problem from an urbanistic point of view; the variables that were part of the studies represented the care of the environment and the proper use of energy resources. Another factor of analysis was mobility and security; these factors include geographic problems and video surveillance systems [5,29,37]. Here, domotics and the IoT are considered stronger, as the objective they focus on is to implement models that allow the use of energy and the proper use of energy.…”

Section: Related Workmentioning

confidence: 99%

“…Figure 2 shows the basic pillars of an intelligent city that contribute to competitiveness and safeguard a sustainable future in the symbiotic link of networks of people, companies, technologies, infrastructure, consumption, energy, and space [49]. security; these factors include geographic problems and video surveillance systems [5,29,37]. Here, domotics and the IoT are considered stronger, as the objective they focus on is to implement models that allow the use of energy and the proper use of energy.…”

Section: Related Workmentioning

confidence: 99%

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Application of a Smart City Model to a Traditional University Campus with a Big Data Architecture: A Sustainable Smart Campus

2019

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Currently, the integration of technologies such as the Internet of Things and big data seeks to cover the needs of an increasingly demanding society that consumes more resources. The massification of these technologies fosters the transformation of cities into smart cities. Smart cities improve the comfort of people in areas such as security, mobility, energy consumption and so forth. However, this transformation requires a high investment in both socioeconomic and technical resources. To make the most of the resources, it is important to make prototypes capable of simulating urban environments and for the results to set the standard for implementation in real environments. The search for an environment that represents the socioeconomic organization of a city led us to consider universities as a perfect environment for small-scale testing. The proposal integrates these technologies in a traditional university campus, mainly through the acquisition of data through the Internet of Things, the centralization of data in proprietary infrastructure and the use of big data for the management and analysis of data. The mechanisms of distributed and multilevel analysis proposed here could be a powerful starting point to find a reliable and efficient solution for the implementation of an intelligent environment based on sustainability.

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“…Adoption by universities of some of these has already become mainstream: plagiarism detection and lecture recording, for example. Others are still emergent: for example, facial and emotion recognition has already been posited as a means for measuring student attendance and engagement (D'Mello, Dieterle, and Duckworth 2017), sensor-based technologies are increasingly used for managing space and measuring movement around campus (Atif, Mathew, and Lakas 2015), and educational neurotechnologies are being developed aiming to scrape brain data from students in the interests of measuring and 'enhancing' student learning and engagement (Williamson 2018). The extent of this amplification of surveillant uses of individuals' data has led human rights researchers to argue the need for new protections which go far beyond the protection of personal data: Ienca and Andorno (2017) argue for the right to cognitive liberty, the right to mental privacy, the right to mental integrity and the right to psychological continuity.…”

Section: Conclusion: Anonymity As a Space Apartmentioning

confidence: 99%

The social value of anonymity on campus: a study of the decline of Yik Yak

Bayne

Connelly

Grover

et al. 2019

Learning, Media and Technology

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This paper considers the social value of anonymity in online university student communities, through the presentation of research which tracked the final year of life of the social media application Yik Yak. Yik Yak was an anonymous, geosocial mobile application launched in 2013 which, at its peak in 2014, was used by around two million students in the US and UK. The research we report here is significant as a mixed method study tracing the final year of the life of this app in a large UK university between 2016 and 2017. The paper uses computational and ethnographic methods to understand what might be at stake in the loss of anonymity within university student communities in a datafied society. Countering the most common argument made against online anonymityits association with hate speech and victimisationthe paper draws on recent conceptual work on the social value of anonymity to argue that anonymity online in this context had significant value for the communities that use it. This study of a now-lost social network constitutes a valuable portrait by which we might better understand our current predicament in relation to anonymity, its perceived value and its growing impossibility.

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Building a smart campus to support ubiquitous learning

Cited by 87 publications

References 44 publications

Towards Next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and Universities

Towards Next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and Universities

Application of a Smart City Model to a Traditional University Campus with a Big Data Architecture: A Sustainable Smart Campus

The social value of anonymity on campus: a study of the decline of Yik Yak

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