ABSTRACT
The article provides a vivid illustration of the challenges faced by the education sector during the pandemic. Education disruptions have increased stress and anxiety in students and their families. In addition to this, schools in rural areas and underdeveloped countries failed to provide the necessary equipment and facilities to help the students proceed with online classes. These articles have relied on secondary data and information to understand various concepts and theories. In order to combat these consequences, a worldwide initiative called REDS was formed to analyze the opinion of students and individuals connected with the education sector and remodel the system for combating the challenges posed by the pandemic. The study proceeded with the help of thematic analysis. © 2023 EDP Sciences. All rights reserved.
ABSTRACT
COVID-19 has exposed and widened the disparity in education. The paper reviews the efforts made by educational institutions and organizations to offer services to the disadvantaged in an effort to eliminate the educational gap. Based on the literature, the primary issues which led to increasing in the gap of educational inequality were identified as the need for books, internet connection, study gadgets/devices, extra tutoring, food and study space, and psychological counseling. This paper proposes an online system using the microservices architecture to provide a holistic system that addresses the key concerns that contributed to the educational discrepancy. The application proposes a variety of business services that are logically separated from each other, and that can be deployed and scaled independently. Each of the provided services is autonomous and can communicate with other services. © 2023 Wiley Periodicals LLC.
ABSTRACT
COVID-19 pandemic has had a profound effect on campuses, compelling learning systems to shift away from face-to-face engagement and toward online instruction. The purpose of this research is to investigate the effectiveness of remote learning in the event of a COVID-19 pandemic. To obtain responses, a self-administered online survey was used. After data screening, 315 data were proceeded to the next analysis. Additionally, the data were devoid of missing cases and outliers. The measuring model was evaluated for indicator and internal consistency reliability, convergent and discriminant validity. Meanwhile, the structural model was evaluated by SmartPLS version 3.2.9 utilising the bootstrapping approach. Findings revealed self-discipline and flexibility were significant towards effectiveness of online learning among students at the UiTM Kelantan, Kota Bharu Campus. The findings argue that, in the modern era, internet technologies have increased the flexibility of post secondary education in a variety of ways. Institutions should make strategic use of these new flexibility, concentrating on chances to engage students more deeply in learning that results in practical outcomes. © 2023, World Scientific and Engineering Academy and Society. All rights reserved.
ABSTRACT
Hotel guests' experience and satisfaction are important aspects of the hospitality industry. It is influenced by several hotel attributes. With the emergence of Covid-19 pandemic, changes in important attributes for customers need to be studied. This study utilized textual reviews and ratings from Tripadvisor for hotels in Indonesia in 2019 and 2021. Topic modeling and opporunity algorithm were applied to identify important attributes, calculate each attribute's level of importance and satisfaction, and conduct opportunity. This study found there are changes in the important attributes before and during the pandemic. Finally, the opportunity algorithm was computed to find attributes that need to be improved. This study found that the latest service opportunities in Indonesia arising from the Covid-19 pandemic are 'health protocol' and hotel facilities such as fitness/gym centers and internet connections to improve room comfort. © 2022 IEEE.
ABSTRACT
COVID-19 has created a pandemic worldwide, paused the path of building the future, and is still ongoing without any long-term solution. The time taken in vaccine distribution is too slow compared to the spread of COVID-19. Hence, it is important to be aware and take precautions on time without delaying and waiting for long-duration after getting infected with the virus. Technology nowadays is more advanced than ever before. Almost everyone has access to at least one mobile device with internet connection. Therefore, we propose a Fog Server (FS) based system that helps create awareness about the spread of COVID-19 within the surroundings of an individual, utilizing the concept of Hidden Markov Model (HMM) and Bluetooth contact tracing in polynomial computational time complexity. Moreover, we evaluate the effectiveness of the proposed model through real-world data analysis on different simulation settings. © 2023 ACM.
ABSTRACT
The use of collaborative learning (CL) has been found to be beneficial for helping students to learn more effectively compared to learning on their own. While CL was implemented successfully in various classroom scenarios, it is used more rarely in remote settings. Especially during the CoViD-19 pandemic and its resulting distance learning, students were often used to learn alone, without experiencing the advantages of CL. This is caused by various reasons, ranging from the required technical know-how, hardware, and Internet connection, to the novelty and lack of experience with these functions. Moreover, the type of the remote setting, e.g., the number of participating students, is a challenge, as, similar to traditional face-to-face settings, the lecturer cannot follow every discussion. Given these challenges, the goal of this paper was to investigate how and, more importantly, how successfully CL can be implemented in remote settings. Therefore, the use of a novel technical approach to implement CL in four different remote teaching scenarios was investigated and both the usage itself as well as the opinions of lecturers and students were recorded. In this way, this paper intends to make a valuable contribution to the study of CL in remote settings. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
COVID-19 pandemic has had a profound effect on campuses, compelling learning systems to shift away from face-to-face engagement and toward online instruction. The purpose of this research is to investigate the effectiveness of remote learning in the event of a COVID-19 pandemic. To obtain responses, a self-administered online survey was used. After data screening, 315 data were proceeded to the next analysis. Additionally, the data were devoid of missing cases and outliers. The measuring model was evaluated for indicator and internal consistency reliability, convergent and discriminant validity. Meanwhile, the structural model was evaluated by SmartPLS version 3.2.9 utilising the bootstrapping approach. Findings revealed self-discipline and flexibility were significant towards effectiveness of online learning among students at the UiTM Kelantan, Kota Bharu Campus. The findings argue that, in the modern era, internet technologies have increased the flexibility of post secondary education in a variety of ways. Institutions should make strategic use of these new flexibility, concentrating on chances to engage students more deeply in learning that results in practical outcomes. © 2023, World Scientific and Engineering Academy and Society. All rights reserved.
ABSTRACT
This paper presents the design of a low cost Yagi log-periodic antenna to extend the coverage of 4G/LTE reception. In recent times, there has been an overwhelming demand for such solutions due to the COVID-19 pandemic as a good internet connection was essential for online teaching/learning activities and for employees working from home. This paper presents the design of a single low cost antenna solution covering common frequency bands used in 4G/LTE networks to the problem without increasing the number of base stations to improve coverage. The performance of the designed antenna is analyzed using the high frequency structure analyzer (HFSS) software from ANSYS and results are presented. © 2021 IEEE.
ABSTRACT
2021 was an election year for the Bulgarians - they had to go to the polls for three national parliamentary votes (one regular and two early) and once again - for president. The pre-election campaigns for all these votes were held in the conditions of COVID-19 epidemic, hard political confrontation and some concomitant factors such as the European Football Championship, the summer vacations and the strong inflationary trends. Internet platforms and especially social networks became increasingly popular channels for politicians to communicate with voters. That is why the aim of the study focuses on the digital pre-election campaigns. The object is the dynamics of the internet connection between the voters (especially the older adults) and the MP candidates. The subject refers to the election messages of the leaders of the political forces, presented in their Facebook profiles. The methodology is comparative analysis and empirical study, conducted by academic research team from the Faculty of Journalism and Mass Communication at The St. Kliment Ohridski Sofia University. The scope of the study includes those political forces that have passed the 4% electoral threshold. The results are indicative for those interested in digital political communication during social pandemic isolation. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
Shopping is considered as an essential activity for many households and is negatively impacted ever since the COVID-19 pandemic had begun. People are panic buying and crowding without social distancing and practice hygiene after exchanging physical touch with objects or cashiers at retail stores. A Smart Shopping System that utilizes RFID and integrated with mobile website technology can improve efficiency and effectiveness for customers to shop even during a pandemic in a more controlled manner. It can be achieved by integrating closely both hardware and software over an active internet connection to send and receive data for real-time updates for each respective customer. The research aims to facilitate users for an improved shopping experience that highlights the accessibility of easy, contactless purchasing, engaging marketing and simultaneously reduces direct contact with public possessions during the coronavirus (COVID-19) pandemic. An extensive discussion of the existing similar systems reviews, literature review and the current developments are performed in depth. The research gathered public insights through a quantitative research approach and applied the gather data for meaningful information in order to recommend an efficient solution. With the creation and visualization of a prototyping model, the researcher demonstrated how a Smart Shopping System could achieve efficiency and effectiveness in a retail store on a small scale. © 2022 IEEE.
ABSTRACT
Most universities stopped face-to-face instruction in March 2020 due to the COVID-19 pandemic and completed the spring 2020 semester through online instruction and assessment. The online courses continued in summer 2020, fall 2020, and spring 2021 semesters. Rapid transition to online courses posed challenges for both students and instructors. Some students lacked access to high-speed internet and had unstable internet connection during lectures and exams. A significant challenge for instructors has been to engage students in online activities and maintain academic integrity. This paper analyzes the challenges faced by students and instructors during the COVID-19 pandemic and the approaches adopted to overcome them. The paper describes alternative methods used to assess student learning and the use of online proctored exams. © American Society for Engineering Education, 2021