Education in Smart Cities: Practices and Challenges

Molnar, Andreea

doi:10.33965/ac2019_201912c032

Cited by 3 publications

(4 citation statements)

References 29 publications

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“…As demonstrated in Figure 2, the method of paper selection consisted of using three online databases to collect research articles regarding IoT smart campus adoption and usage. The inclusion and exclusion criteria of the papers are based on the recommendations by [32]. The selection methodology was conducted based on accompanying advances in the literature.…”

Section: Methodsmentioning

confidence: 99%

“…Precisely, Durán-Sánchez et al [31] conducted a systematic review of smart learning, which reported the authors and locations of publications related to smart learning. The work by [32] provides an overview of current educational programs and issues in the smart cities research direction of several recent educational programs and issues in smart cities. Furthermore, the study conducted by Rico-Bautista et al [33] is one of the early works that investigated the role of IoT in smart campuses and smart universities by highlighting the IoT as one of the primary technologies used to implement smart campuses and smart universities.…”

Section: Relatedmentioning

confidence: 99%

“…Hence, the literature review has identified a dearth of research on the adoption of IoT-based smart campuses as supported by technology adoption theories. Moreover, there is a lack of previous reviews and surveys on smart campuses that comprehensively address the adoption issue [4,27,[32][33][34][35]. Surprisingly, very few of the current studies address the topic of smart campus adoption [8], which focuses on stakeholders' perception criteria of smart campuses.…”

Section: Adoption Model Of Iot-based Smart Campusesmentioning

confidence: 99%

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Revising Technology Adoption Factors for IoT-Based Smart Campuses: A Systematic Review

et al. 2022

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Smart education and the sustainable development of smart campuses have drawn significant research attention. This is enabled by intelligent devices that are widely attracting massive applicability in personal and big business contexts and can increase efficiency and convenience. This paper aims to present a solution to address the lack of a proper adoption model for smart campus initiatives. The evaluation and synthesis of the literature were conducted by following the systematic literature review (SLR) procedure. The study’s findings revealed the taxonomy and IoT technologies leading to the wide adoption of IoT-based smart campuses. The technology adoption models and their corresponding variables help the authors identify and classify a suitable adoption framework for smart campuses. The limitations and challenges of adoption theories as they pertain to smart campuses are discussed. Finally, the study adapts perceived scalability, perceived replicability, perceived reliability, perceived privacy and security, perceived trust, the cost of deployment, usefulness, enjoyment, and technicality as adoption factors of sustainable smart campuses. This study offers practical and theoretical implications regarding the adoption and propagation of emerging smart campuses.

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Section: Methodsmentioning

confidence: 99%

Section: Relatedmentioning

confidence: 99%

Section: Adoption Model Of Iot-based Smart Campusesmentioning

confidence: 99%

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Revising Technology Adoption Factors for IoT-Based Smart Campuses: A Systematic Review

et al. 2022

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“…They used eleven widely used datasets to evaluate various functions of the proposed framework. Reviews on education in smart cities can be found, for example, in the studies of Mehmood et al, 2017a andMolnar, 2019. Many COVID-19-related studies which are utilizing Twitter data have been proposed. Some researchers have explored the thematic analysis of Twitter data.…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainable Participatory Governance: Data-Driven Discovery of Parameters for Planning Online and In-Class Education in Saudi Arabia During COVID-19

Alswedani¹,

Mehmood²,

Katib³

2022

Front. Sustain. Cities

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Everything about our life is complex. It should not be so. New approaches to governance are needed to tackle these complexities and the rising global challenges. Smartization of cities and societies has the potential to unite us, humans, on a sustainable future for us through its focus on the triple bottom line (TBL) – social, environmental, and economic sustainability. Data-driven analytics are at the heart of this smartization. This study provides a case study on sustainable participatory governance using a data-driven parameter discovery for planning online, in-class, and blended learning in Saudi Arabia evidenced during the COVID-19 pandemic. For this purpose, we developed a software tool comprising a complete machine learning pipeline and used a dataset comprising around 2 million tweets in the Arabic language collected during a period of over 14 months (October 2020 to December 2021). We discovered fourteen governance parameters grouped into four governance macro parameters. These discovered parameters by the tool demonstrate the possibility and benefits of our sustainable participatory planning and governance approach, allowing the discovery and grasp of important dimensions of the education sector in Saudi Arabia, the complexity of the policy, the procedural and practical issues in continuing learning during the pandemic, the factors that have contributed to the success of teaching and learning during the pandemic times, both its transition to online learning and its return to in-class learning, the challenges public and government have faced related to learning during the pandemic times, and the new opportunities for social, economical, and environmental benefits that can be drawn out of the situation created by the pandemic. The parameters and information learned through the tool can allow governments to have a participatory approach to governance and improve their policies, procedures, and practices, perpetually through public and stakeholder feedback. The data-driven parameter discovery approach we propose is generic and can be applied to the governance of any sector. The specific case study is used to elaborate on the proposed approach.

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Smart cities education: An insight into existing drawbacks

Molnar

2021

Telematics and Informatics

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Education in Smart Cities: Practices and Challenges

Cited by 3 publications

References 29 publications

Revising Technology Adoption Factors for IoT-Based Smart Campuses: A Systematic Review

Revising Technology Adoption Factors for IoT-Based Smart Campuses: A Systematic Review

Sustainable Participatory Governance: Data-Driven Discovery of Parameters for Planning Online and In-Class Education in Saudi Arabia During COVID-19

Smart cities education: An insight into existing drawbacks

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