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In recent years, with the rapid development of Internet technology, a large number of online learning resources have emerged. Especially affected by the COVID-19 epidemic, online learning has become a very effective learning means. However, a large number of learning platforms and massive online teaching resources have the following three problems: 1) The quality of these courses is uneven and the evaluation standards are different;2) There are so many similar courses that it is difficult for learners to distinguish them;3) These classes are lack of unity and integration, and it is hard to recommend any hierarchical, coherent and systematic course resources to learners. Therefore, a recommendation model based on TF-IDF algorithm is designed to extract personalized-featured courses, use the nearest neighbor similarity to cluster the similarity of similar courses, and conduct the featured portrait of learners to realize online courses recommendation. Combined with the model design, this paper presents a tag-based online course resource recommendation system, which can fully explore learners' explicit and implicit preferences according to course tags, and recommend satisfactory MOOC resources for them with good application value. © 2022 IEEE.
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Information and Communication Technologies (ICT) are becoming indispensable nowadays for the healthcare industry. The utilization of ICT in healthcare services has accelerated even faster after the commencement of the COVID-19 outbreak. This study aims to perform a scientometric analysis of scholarly literature on airborne diseases in the discipline of science and technology. It explores the recent advancement of internet technologies in healthcare to control the prevalence of deadly airborne illnesses by applying analytical approaches. It presents publication trends, citation structure, influential sources, co-citation, and co-occurrence network analysis using the CiteSpace tool. It identifies the important research topics, current research hotspots, most active research areas, and leading technologies in this scientific knowledge domain. It inferred significant results from analyses that will benefit researchers and the academic fraternity across the globe to understand the evolving paths and recent scientific progress of ICT in airborne disease management. © 2022 Association for Computing Machinery.
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Due to the fast advancement of Internet technology, the popularity of Online Social Networks (OSN) over the Internet is increasing day by day. In the modern world, people are using OSN to communicate with others around the world who may or may not know each other. OSN has become the most convenient means to transmit media (news/content) and gather or spread information in the world. The posts (contents) on OSN affect and impact people, and minds at least for some time. These contents are important because they play a crucial role in taking the decision. The posts which are available on the OSN may be information or just misinformation. The misinformation may be a type of fake news or rumour. This is very difficult for people to differentiate whether the posts are information or rumour. Therefore, the development of techniques that can prevent the transmission of false information or rumours that might harm society in any way is critical. In this paper, a model is developed based on the epidemic approach, for examining and controlling fake information dissemination in OSN. The proposed model illustrates how different misinformation debunking measures impact and how misinformation spreads among different groups. In this article, we explain that the proposed model will be able to recognize and eradicate fake news from OSN. The model is written as a system of differential equations. Its equilibrium and stability are also carefully examined. The basic reproduction number $(R_{0})$ is calculated, which is an important parameter in the study of message propagation in OSN. If $R_{0} < 1$ , the propagation of rumor in the OSN will be minimal;nevertheless, if $R_{0} > 1$ , the fake information/rumor will continue in OSN. The effects of disinformation of rumours in OSN in the real world are explored. In addition, the model covers the fake information/rumour dissemination control mechanism. The comparative study shows that the proposed model provides a better mechanism to prevent the dissemination of fake information in OSN in comparison to other previous models Extensive theoretical study and computation analysis have also been used to validate the proposed model © 2013 IEEE.
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The Covid-19 pandemic turned both private and public life upside down. Teaching and learning at higher education institutions worldwide had to move online on very short notice. This means that all the educational process must be converted into a digital format for the transmission of a large array of information through electronic exchange. Online learning has been an important research topic over the past three decades, but online study programs at the universities are still limited. This article tells about the experience of foreign countries in the successful implementation of information and digital technologies in the educational process of universities. Information technologies in training are used in South Korea (Smart education), Switzerland (Wikis), Norway (Mixed learning model and co-education), Serbia (Video on demand), China (Stem - education, Moodle, Block chain). We continue with some initial thoughts on online teaching and learning in higher education in general, and emergency online teaching and learning more specifically. All of these technologies have advantages within a single state. After an overview of the international research compiled in this Special Issue, we derive a number of general insights on online teaching and learning in higher education, emphasizing, for instance, scaffolding of regulation processes or communication platforms as potential artifacts of an online teaching and learning. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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The TV industry has long been under pressure to adapt its workflows to use advanced Internet technologies. It also must face competition from social media, video blogs, and livestreaming platforms, which are enabled by lightweight production tools and new distribution channels. The social-distancing regulations introduced due to the COVID-19 pandemic added to the list of challenging adaptations. One of the remaining bastions of legacy TV production is the live broadcast of sporting events and news. These production practices rely on tight collaboration in small spaces, such as control rooms and outside broadcast vans. This paper focuses on current socio-technical changes, especially those changes and adaptations in collaborative practices and workflows in TV production. Some changes necessary during the pandemic may be imposed, temporary adjustments to the ongoing situation, but some might induce permanent changes in key work practices in TV production. Further, these imposed changes are aligned with already ongoing changes in the industry, which are now being accelerated. We characterize the changes along two main dimensions: redistribution of work and automation. © 2021 The Author(s). Published with license by Taylor & Francis Group, LLC.
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This paper studies the cybersecurity issues that have occurred during the coronavirus (COVID-19) pandemic. During the pandemic, cyber criminals and Advanced Persistent Threat (APT) groups have taken advantage of targeting vulnerable people and systems. This paper emphasizes that there is a correlation between the pandemic and the increase in cyber-attacks targeting sectors that are vulnerable. In addition, the growth in anxiety and fear due to the pandemic is increasing the success rate of cyber-attacks. We also highlight that healthcare organizations are one of the main victims of cyber-attacks during the pandemic. The pandemic has also raised the issue of cybersecurity in relation to the new normal of expecting staff to work from home (WFH), the possibility of state-sponsored attacks, and increases in phishing and ransomware. We have also provided various practical approaches to reduce the risks of cyber-attacks while WFH including mitigation of security risks related to healthcare. It is crucial that healthcare organizations improve protecting their important data and assets by implementing a comprehensive approach to cybersecurity. © 2020 The Authors. Internet Technology Letters Published by John Wiley & Sons, Ltd.
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With the popularization and application of Internet technology in teaching and the exploration and practice of online teaching during the period of COVID-19, information-based teaching reform has become one of the effective ways to improve the teaching quality of colleges and universities. This paper analyzes the exploration and research on the information-based teaching reform of International Finance course in the Post-Epidemic Period by using the 'Student-Centered Learning' (SCL) concept and relying on the superstar Learning platform. Such corresponding measures are put forward as deconstructing and reconstructing the course content, designing task with difficulty-oriented, integrating ideological and education into the reform, and building a '341' teaching system. The reform has resulted in significant effect. Firstly, students are more enthusiastic about learning. Secondly, curriculum construction is more complete. And thirdly, significant Demonstration effect is achieved. © 2022 IEEE.
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The research considers the efficiency of using computer games in teaching the English language to primary schoolchildren. The aim of the study was to reveal that the reasonable use of computer games in English lessons has a motivating force which results in students’ developing linguistic competences, because students gain all-round experience through language skills and dynamic practical activity. The findings of the research testify that foreign language teaching including elements of computer technology has a motivational capacity for the assimilation of knowledge and results in a better mastering the language simultaneously allowing to tackle other educational tasks: to accelerate the process of assimilation of theoretical material, to increase the volume of completed tasks, the cognitive activity of students and to develop their creativity. The timeliness of the research lies in the fact that the spread of the coronavirus infection COVID-19 and quarantine restrictions have created the need for expanded use of computer technology making teachers adapt to new, rapidly changing environment. © 2022, Association Res Militaris. All rights reserved.
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The sudden outbreak of COVID-19 has greatly affected the development of all industries, and the development of many enterprises has been severely impacted. In the context of epidemic prevention and control, the Internet has brought new development space for enterprise marketing, so more and more enterprises begin to enter the field of online marketing. With the continuous progress of Internet technology and the deepening of informatization, China's big data industry has made qualitative progress. The traditional marketing model cannot meet the needs of the increasingly fierce market competition. By applying big data technology to network marketing, enterprises can dig deeply into user information and formulate corresponding marketing strategies based on users' preferences, behavior patterns and shopping habits, so as to realize precise marketing and improve their economic benefits by mining potential customers. However, there are also some problems in the process of using big data technology to move towards precision, such as serious homogenization, low application level, and privacy security issues. Only by solving these problems can enterprises use big data to achieve higher quality development. © 2022 IEEE.
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With the continuous innovation of Internet technology, the explosive growth of information has become one of its most obvious characteristics, and how to break through the problem of data storage has become an urgent challenge to be solved. The knowledge graph proposed by Google can intuitively describe the relationship between entities in the objective world in the form of a graph, which is of great help in solving this problem. Firstly, the basic concept of knowledge graph is expounded, and include the key steps of knowledge extraction, knowledge fusion, knowledge storage, etc. Taking the relationship between confirmed cases of the coronavirus disease 2019(COVID-19) in a certain city over the recent period as an example, a knowledge graph of case relationship is constructed. The results indicated that the knowledge graph intuitively shows the transmission path of the epidemic, which can provide certain help for the effective prevention and control of the epidemic. © VDE VERLAG GMBH - Berlin - Offenbach.
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During the COVID-19 pandemic, most people around the world started using internet and online technologies for multiple purposes. A very common digital transformation is online learning or e-learning. Despite its importance, online learning has several issues compared to standard learning. One of the most issues of concern is cheating between students during online exams. This paper aims to address cheating problem by proposing a novel method called WeCheat. It automates the cheating detection process on e-learning platforms, such as Google Forms. The target for the detection of cheating-groups are online exams. To the best of our knowledge, this is the first time someone proposes such a system that detects cheating, particularly during the COVID-19 pandemic. To comply with the set goal, a clustering-based solution is proposed. This Method employs Mean-Shift, a non-parametric and density-based clustering algorithm for this task. Validation of this approach is evidenced by the application which performs excellently on an arbitrary number of features in the cheating detection problem in terms of accuracy. This application helps educational institutions to address cheating cases and at the same time offers the opportunity to focus more on the use of anti-cheating logistics. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Due to the growth of internet technology, there is a sharp rise in the growth of IoT enabled devices. IoT (Internet of Things) refers to the connection of various embedded devices with limited processing and memory. With the heavy adoption of IoT applications, cloud computing is gaining traction with the ever-increasing demand to process and compute a massive amount of data coming from various devices. Hence, cloud computing and IoT are often related to each other. However, there are two challenges in deploying the IoT and cloud computing frameworks: security and Privacy. This article discusses various types of security threats affecting IoT and cloud computing, and threats are classified using machine learning (ML). ML has gained much momentum in recent years and is applied in various domains. One of the main subdomains of machine learning is used in IoT and cloud security. A machine learning model can be trained with data based on which the model can predict the impending security threats. Popular security techniques to protect IoT devices from hackers are IoT authentication, access control, malware detection, and secure overloading. Supervised learning algorithms can be used to detect malware in the runtime behavior of applications. The malware is detected from network traffic and is labeled based on its suspicious behavior. Post identification of malware, the application data is stored in a database trained via an ML classifier algorithm (KNN or Random Forest). With increased training, the model can identify malware applications with higher accuracy. © 2022 IEEE.
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Under the influence of the new coronavirus epidemic, TCFL has been greatly impacted. Thanks to the development of Internet technology, many schools and institutions turn to online teaching, online live teaching, online course customization, mixed multiple teaching and other online teaching modes are widely used. This paper focuses on the necessity and problems of Chinese language skills training for foreign students under the online teaching mode, and discusses how to carry out language skills training in online Chinese teaching from four aspects of listening, speaking, reading and writing. Some suggestions are put forward, such as changing the way of classroom practice and strengthening students' self-training, using modern science and technology, network resources and online learning platform to provide more and more comprehensive teaching services for Chinese learners, and setting up incentive mechanism to mobilize students' enthusiasm. This paper hopes to provide some new teaching ideas, teaching methods and teaching approaches for online Chinese language skills training in the new era. © 2021 IEEE.
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Against the background of the COVID-19, the global economic situation is not optimistic. The Job performance of employees is the basis of corporate interests, and the choice of management style will directly affect employees' work mentality and behavior. Based on the survey data of 963 employees in high-tech enterprises across China, this paper uses the hierarchical regression method to explore the influence mechanism of abusive management (AS) on job performance (JP). Common method deviation (CMV) showed no obvious common method bias problem in the data collected in this study. The results showed that there was significant negative correlation between abusive management and job performance (β=-0.023, mathrm{p} < 0.05). The relationship between abusive management and job performance was partially mediated by job insecurity (JI). After adding job insecurity as mediating variable between AS and JP, the effect of abusive management on job performance changes from β=-0.042 (p<0.05) to β=-0.029 (p <0.05). The bootstrap method was also used in this study to test the mediating effect. Self-efficacy (SE) and job insecurity had significant interaction, and the coefficient is β=-0.112(\mathrm{p} < 0.05). So, SE moderated the relationship between job insecurity and job performance. © 2021 IEEE.
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The development of technologies reaches new heights, but with them come new security issues. With some of the biggest data breaches in history made in 2019 alone, it is clear that cyber-attacks will not go away any time soon. In the recent past, security concerns for control systems have focused on limiting physical attacks. Industrial systems today use the Internet and cloud technologies, making them vulnerable to modern attacks. With the COVID-19 pandemic many people moved to work from home, which led to an increase in cyber-attacks. This article presents a study of current threats to industrial systems and some perspectives on them. © 2021 IEEE.
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To prevent and control the outbreak of coronavirus disease, in the spring of 2020 the Ministry of Education in China announced an initiative for universities to postpone the back-to-school season and start nationwide online teaching. This paper first summarizes the literature review of research on online teaching at home and abroad. Then it introduces the application of smart teaching tool Rain Classroom in College English course at Huazhong Agricultural University and the teaching design before, during, and after class. After comparative teaching experiments, empirical data suggest that students achieved notable progress in academic performance in classes using smart teaching tools. In the questionnaire survey, students show high level of adaptability and satisfaction to the teaching model and learning outcomes. Thus it can be concluded that smart teaching tools guaranteed the high quality of online teaching during the coronavirus pandemic. At last, the author proposes suggestions on the R D of smart teaching tools and faculty teaching development. It is hoped that this paper can provide reference for future research on online teaching. © 2021 IEEE.
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Covid - 19 has radically changed how group activities are carried out across the world especially in countries with higher incidence of the disease, like the US. An activity of concern to the educators is face-to-face teaching in classroom, in-lab work, in-person office hours, in-class exams and group-based project activities. The Covid-19 epidemic required most educators to move all these activities online. Given that the flipped and online classes are a common practice in this era of internet technology, there was no dearth of resources. The resources to deliver lectures included blackboard, zoom, or skype. For labs, some of the options were no labs, or remote lab access with VPN after porting labs from hardware to software or providing hardware kits to students for remote lab work. Office hours could be offered either via skype, blackboard or zoom. Exams could be given either over zoom, skype, prairie learn, gradescope, blackboard or ProctorU. Exam format could be open book, take home, multiple choice or essay type questions. Exam submission could be scanning in either hand-written or typed document. Disruption due to COVID-19 pandemic happened in the middle of the Spring 2020 semester. For the courses that were being offered in traditional face-to-face mode, the challenge was to select the best possible method of course delivery with least effort, inconvenience and time spent on training course staff, and students. This paper reviews the online teaching methods that were available at our university. It provides justification for using the chosen online platforms over others for delivering the course-Introduction to VLSI Design. Online teaching was found to be more effective over face-to-face based on comparison of student grades and course evaluations. The paper identifies the problems encountered during online teaching and the steps taken to mitigate them. Further, we highlight how the lessons learnt during the Spring 2020 semester were used to improve teaching methodology during the Fall 2020 semester. © American Society for Engineering Education, 2021
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BACKGROUND: With increasing life expectancy and aging populations, the global prevalence of chronic diseases and the long-term care required for people with comorbidities is rising. This has led to an ever-growing need for caregiving. Previous literature has shown that caregivers face problems of isolation and loneliness. However, many health organizations mainly focus their efforts on in-person community groups that require participants to meet physically. This is not always convenient or accessible for caregivers who are often juggling caring for their care recipient with family and work responsibilities. OBJECTIVE: With medical advancements such as the proliferation of mobile phones and internet technology, caregivers may have opportunities for easier access to resources and support. Technological innovations could help empower the caregiving community to seek assistance for improving their quality of life at their convenience. A community network app called Caregivers' Circle was conceptualized in response to the needs of the caregivers on a day-to-day caregiving journey. This paper traces the predevelopment inquiry and technical details of this app to provide a clear understanding of its implementation along with a usability study to gauge user opinion of the app within Singapore. METHODS: A predevelopment survey was conducted to identify specific needs of caregivers and gaps in the currently available web-based community networks. The survey consisted of questions on demographical data, health-related issues of the care recipient, mental and physical health-related issues of the caregiver, digital media use, information seeking, and support. This pre-app development survey was completed by 103 caregivers. Qualitative enquiries were also conducted with caregivers within Singapore to identify issues related to caregiving, support provided, and what caregivers would want from a caregiving mobile app. RESULTS: From the feedback garnered from the caregivers, the developers were able to identify several caregivers' needs and gaps within the current support networks. This feedback was integrated into the mobile app called Caregivers' Circle upon development. The features of this app include a public forum for community discussions, a marketplace to buy and sell items, care groups to hold private discussions with friends or other users of the app, and a friends feature to search and add new caregiving friends. CONCLUSIONS: In general, the caregivers liked the Caregivers' Circle app and were confident that this app could help them have a better quality of life. The Caregivers' Circle app is unique in its integrated approach. The integration of many features that caregivers need on a daily basis into an easy app can save their time as well as help them navigate their life smoothly.
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Early in the coronavirus-2019 (COVID-19) containment strategy, people with end-stage renal disease (ESRD) were identified as extremely clinically vulnerable and subsequently asked to 'shield' at home where possible. The aim of this study was to investigate how these restrictions and the transition to an increased reliance on telemedicine within clinical care of people living with kidney disease impacted the physical activity (PA), wellbeing and quality of life (QoL) of adults dialysing at home (HHD) or receiving in-centre haemodialysis (ICHD) in the UK. Individual semistructured telephone interviews were conducted with adults receiving HHD (n = 10) or ICHD (n = 10), were transcribed verbatim and, subsequently, thematically analysed. As result of the COVID-19 restrictions, PA, wellbeing and QoL of people with ESRD were found to have been hindered. However, widespread support for the continued use of telemedicine was strongly advocated and promoted independence and satisfaction in patient care. These findings highlight the need for more proactive care of people with ESRD if asked to shield again, as well as increased awareness of safe and appropriate PA resources to help with home-based PA and emotional wellbeing.