Exploring Internet of Things, Mobile Computing and Ubiquitous Computing in Computer Science Education: A Systematic Mapping Study

Fragou, Olga; Mavroudi, Anna

doi:10.46328/ijtes.v4i1.47

Cited by 15 publications

(8 citation statements)

References 46 publications

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“…Former farmers pay more attention to their living standards, such as food, clothing, housing, and transportation [23]. Now, they have begun to pay attention to their spiritual consumption needs [24]. However, rural social welfare security requires higher capital investment from state finance, which is extremely difficult for a developing country with a large population, so social welfare in rural areas cannot be realized in the short term [25].…”

Section: Design and Implementation Methods Of A Rural Social Security System Based On Deep Learningmentioning

confidence: 99%

Design and Implementation of a Rural Social Security System Based on Deep Learning

Zhao

2021

Wireless Communications and Mobile Computing

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After the reform and opening up, my country’s economic level and total national strength have achieved unprecedented growth. The building of a well-off society in an all-round way is moving towards a harmonious society. The development of social security is also an important part of the development and improvement of a socialist harmonious society. This article is aimed at designing a rural social security system based on deep learning algorithms, using sample collection and statistical analysis methods, collecting samples, simplifying the algorithm, and establishing a new rural social security system. The data collected by the system shows that the proportion of farmers who choose very satisfied, satisfied, average, dissatisfied, and very dissatisfied with the satisfaction of the new rural insurance is 8.94%, 45.53%, 34.96%, 8.13%, and 2.44%. It can be seen that the proportion of farmers who choose to be satisfied is the largest, and more than 10.0% of farmers choose to be dissatisfied or very dissatisfied. Investigate the factors that farmers worry about participating in the new rural insurance, and the questionnaire options can also be set to multiple choices. The survey results show that 29.27% of the farmers think that the individual payment for participating in the new rural insurance is higher; 26.02% of the farmers believe that they do not understand the new rural insurance system; 9.76% of the farmers believe that it is unnecessary to pay for the new rural insurance; 22.76% of farmers choose to rely on themselves or their children in the future; 27.64% of farmers think that the system is unstable. It has basically realized the design of a brand new rural social security system starting from the deep learning of semantic computing.

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Section: Design and Implementation Methods Of A Rural Social Security System Based On Deep Learningmentioning

confidence: 99%

Design and Implementation of a Rural Social Security System Based on Deep Learning

Zhao

2021

Wireless Communications and Mobile Computing

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“…Somantri et al [109] Industrial training Low-cost IoT Affordable trainer kits were developed for industrial training practices for automation. Fragou et al [110] Computer science education…”

Section: Global Higher Educationmentioning

confidence: 99%

Advancing Education Through Extended Reality and Internet of Everything Enabled Metaverses: Applications, Challenges, and Open Issues

Jagatheesaperumal¹,

Ahmad²,

Al-Fuqaha³

et al. 2022

Preprint

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Metaverse has evolved as one of the popular research agendas that let the users learn, socialize, and collaborate in a networked 3D immersive virtual world. Due to the rich multimedia streaming capability and immersive user experience with high-speed communication, the metaverse is an ideal model for education, training, and skill development tasks. To facilitate research in this area, we provide a comprehensive review of the various educational use cases and explore how enabling technologies such as Extended reality (XR) and Internet of Everything (IoE) will play a major role in educational services in future metaverses. Secondly, we provide an overview of metaverse-based educational applications focusing on education, training, and skill development and analyze the technologies they are built upon. We identify common research problems and future research directions in the domain. The paper also identifies core ethical considerations of metaverse for education and potential pitfalls. We believe this survey can fully demonstrate the versatility of metaverse-driven education, which could serve as a potential guideline for the researchers.

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Section: 1mentioning

confidence: 99%

“…In the study conducted by Fragou et al (2020), computing, mobile computing and the internet of things (UMI) are widely used in various application fields. To date, methods and techniques for the application of these technologies in real-life situations have continued to appear; however, their use in educational settings with a focus on current applications has not been largely studied [3]. Here, the relevant literature and present evidence gaps and promising and important research is to analyse systematically since, and as a result, all levels of Education, analysis, context, and relevant actors, methods and digital tools, too, are significant challenges for the provision of mobile and ubiquitous learning approaches including active learning and computer in the domain of existing objects, they have concluded that reveals important characteristics of educational applications on the internet.…”

Section: 1mentioning

confidence: 99%

Determination of the Use of Internet of Things Technology in Educational Settings among University Students

Yessengabylov

Aigul²,

Tasbolatova

et al. 2022

Int. J. Emerg. Technol. Learn.

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Internet concepts intended in this study were to determine the use of technology in educational environments, such as internet of things, among university students, which is a longitudinal distance education course of university students continued through the platform during the pandemic, given that it will become an advantage for them concerning the objects of Internet technology. It is seen that many methods are used in the study. Periodically, the study was prepared by applying it in the fall semester of 2021–2022. A total of 488 volunteer university students who are continuing their education participated in the study. In the study, 3-week online education was provided to university students. In the study, the ‘Internet of Things’ measurement tool developed by the researchers and compiled by experts in the field was sent to the students. The data collection tool used in the study was delivered to the students participating in the study by online method and then collected. The analysis of data was carried out using SPSS programme, frequency analysis and t-test. The results obtained were added to the study accompanied by tables and comments. At the end of the study, it was concluded that the students participating in the study had a high use of internet of things technology in the educational environment.

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Exploring Internet of Things, Mobile Computing and Ubiquitous Computing in Computer Science Education: A Systematic Mapping Study

Cited by 15 publications

References 46 publications

Design and Implementation of a Rural Social Security System Based on Deep Learning

Design and Implementation of a Rural Social Security System Based on Deep Learning

Advancing Education Through Extended Reality and Internet of Everything Enabled Metaverses: Applications, Challenges, and Open Issues

Determination of the Use of Internet of Things Technology in Educational Settings among University Students

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