ABSTRACT
The pandemic Covid-19 has brought a change in the education significantly. As we all know that Education Industry was the drastically hit industry in the service sector. The future of education completely depends upon experiential learning. Now the students can find their courses and books online where they can study as per their own schedule. In these times of need, online learning tools emerged as a boon. In this regard the department tried to design and implement a web-based simulation models under Virtual BIZ & Investment Lab for the student Learners. This paper talks about the benefits of Virtual lab and how it will expose the student learners to real world problem solving and decision making issues to make them industry ready. © 2022, Rajarambapu Institute Of Technology. All rights reserved.
ABSTRACT
The popularity of video conferencing platforms increasing since the COVID-19 pandemic hit the world. Much higher education industries use the video conferencing platform to replace classrooms. Unfortunately, many students struggle to face this change, creating much drama in online learning classes. This study explores the student's behavior and expectations in video conferencing classes. The study uses a qualitative approach with a case study design. The data were collected by interviewing 60 students, aged between 19 and 22, of the Communication Department at Bina Nusantara University and observing their behavior during basic and applied communication courses through video conferencing classes. The result found that most students behave actively in camera-off mode. But the activities refer to being at home, not in the classroom, and maintaining self-image. Most students' expectations of video conferencing relate to the characteristics of an exciting lecturer and engaging teaching and learning methods. © 2023 IEEE.
ABSTRACT
Amidst the recent COVID-19 pandemic, the education industry was forced to completely flip its very traditional self to an online system in order to thrive and ensure continuity of operations. This moved academics and support staff to rely on system-captured data to monitor performance and plan for the future. The purpose of this research is to study the importance of big data (captured by university systems over time) and its crucial role in policy & strategy making in the higher education sector. 10 pilot interviews were conducted with education industry practitioners which indicated that awareness regarding the importance of big data analysis exists, however, there is a need of in-depth knowledge to better support this sector. The results indicate the current state/status of implementation and challenges faced by the higher education sector wherein a clear need of having a data management strategy for optimizing the use of big data is being identified. © 2022 IEEE.
ABSTRACT
Strategic management is a vital part of every industry;however, the COVID-19 crisis has further escalated the importance of strategic management and adaptability in the higher education industry. The convergence of digital, information and communication technologies coupled with lockdown measures imposed due to the COVID-19 pandemic has catalysed the adoption of digital platforms and technologies for online teaching and learning in higher education. This qualitative paper aims to examine the viewpoints of and challenges faced by students and lecturers pertaining to digital platforms and technologies in higher education during the COVID-19 pandemic. The research methodology encompasses the use of a networking approach;80 interviews were conducted with 38 students and 42 university lecturers in Europe, Australia, North America, and Asia. The selection of a sample was undertaken by means of a gatekeeper strategy combined with convenience sampling, while the saturation point was used as a benchmark to reach a representative sample size. The results revealed that digital platforms and technologies facilitate a participative teaching style and improve the learning capabilities of students. The results further highlight the fact that break-out rooms, pre-class videos and creative learning activities promote higher levels of student attendance and engagement. Furthermore, the results demonstrate that, despite the significant development of digital technologies and information and communication technologies (ICTs), both lecturers and students prefer traditional face-to-face teaching because it offers greater emotional connectivity. Major challenges unearthed include poor connectivity, a higher incidence of depression, feelings of self-isolation and a lack of emotional engagement. Recommendations and implications for the higher education industry relating to remote learning are presented in the latter part of this paper. © 2022, WSB University. All rights reserved.
ABSTRACT
The purpose of the study is to understand and analyze the impact of COVID-19 on female academicians working in Private Universities of Rajasthan State and to explore the changes, transformations and trends which have developed in the education industry as a result of remote working. Further the study has been conducted using a mixed approach of quantitative and qualitative methodology, this study drew a sample of 127 female academicians working in private universities of Rajasthan. A structured questionnaire was employed to gather required data for further analysis using Statistical Package for the Social Sciences. The key findings indicated there is significant difference in the personal and professional life of teachers when they are working from home. The study also bring forward various changes, transformations and trends which have developed in education industry as a result of remote working. © The Electrochemical Society
ABSTRACT
Computer vision systems since the early 1960s have undergone a long evolution and are widely used in various fields, in particular, in education for the implementation of immersive educational resources. When developing computer vision systems for educational purposes, it is advisable to use the computer vision libraries based on deep learning (in particular, implementations of convolutional neural networks). Computer vision systems can be used in education both under normal and pandemic conditions. The changes in the education industry caused by the COVID-19 pandemic have affected the classic educational applications of computer vision systems, modifying existing ones and giving rise to new ones, including social distancing, face mask recognition, intrusion detection in universities and schools, and vandalism prevention, recognition of emotions on faces with and without masks, attendance monitoring. Developed on the basis of Microsoft Cognitive Toolkit and deployed in the Microsoft Azure cloud, a prototype computer vision system integrates emotion recognition of students and detection of violations of the mask regime, additionally providing the ability to determine gender, smile intensity, average age, makeup, glasses, hair color, etc. with a high degree of reliability. © 2021 ACM.
ABSTRACT
The emergence of the COVID-19 is a challenge and an opportunity for the education industry. Under the environment of the pandemic, Teaching Chinese as a Second Language (TCSL) has responded to the call of the country and the needs of the times by developing online teaching, using modern information technology to enable foreign students to continue learning Chinese. And the online teaching mode can still be retained as a new teaching mode after the pandemic is controlled. However, in the process of online TCSL, some defects and shortcomings of online teaching are gradually revealed, which have a certain negative impact on students' Chinese learning. This article analyzes the impact of the pandemic on the TCSL and emphasizes the urgency of online teaching in the pandemic environment. At the same time, this article explores the challenges faced by online TCSL and proposes strategies, putting forward personal thoughts and suggestions for the progress and optimization of online TCSL. © 2021 IEEE.
ABSTRACT
Confronting the rapid transformation due to the spread of COVID-19, higher education institutions have been forced to shift to using digital platforms, e-learning to pursue the education plan. The main question of the current study is, can the digital learning system be applied in higher education. Then, what are the perceptions of academics regarding digital learning? In addition, do the faculties have self-efficacy? This study aims to evaluate the new digital learning experience among academics in Bahrain during the COVID-19 pandemic. We have assessed the perception about the effectiveness of digital learning and their perception about the possibility of integrating digital learning. The descriptive-analytical approach was applied, and statistical methods analyzed the results. Qualitative and quantitative methodology was conducted to answer the study questions. Questionnaires were designed and distributed. Four dimensions have been highlighted to reach the expected results, i.e., the academic perception about using e-learning during the COVID-19 pandemic, self-efficacy, usefulness and challenges and benefits of implementing E-learning in higher education. This study utilizes the model developed by Liaw (2008) to investigate academic self-efficacy and their perception regarding usefulness. This study counts 210 participants from two universities in Bahrain. The findings of this study revealed a high perception of self-efficacy and usefulness;the academics believe in the importance of digital learning. Tremendous feedback revealed from academics regarding the digital learning benefits and challenges are discovered and discussed. Practical recommendations have been summarized in conclusion. © 2021 IEEE.
ABSTRACT
Universities around the world are increasingly digitalising all of their operations, with the current COVID-19 pandemic speeding up otherwise steady developments. This article focuses on the political economy of higher education (HE) digitalisation and suggests a new research programme. I foreground three principal arguments, which are empirically, theoretically, and politically crucial for HE scholars. First, most literature is examining the impacts of digitalisation on the HE sector and its subjects alone. I argue that current changes in digitalising HE cannot be studied in isolation from broader changes in the global economy. Specifically, HE digitalisation is embedded in the expansion of the digital economy, which is marked by new forms of value extraction and rentiership. Second, the emerging research on the intersection of marketisation and digitalisation in HE seems to follow the theories of marketisation qua production and commodification. I argue that we need theories with better explanatory power in analysing the current digitalisation dynamics. I propose to move from commodification to assetisation, and from prices to rents. Finally, universities are digitalising in the time when the practice is superseding policy, and there is no regulation beyond the question of data privacy. However, digital data property is already a reality, governed by 'terms of use', and protected by the intellectual property rights regime. The current pandemic has led to 'emergency pedagogy', which has intensified overall digitalisation in the sector and is bypassing concerns of data value redistribution. I argue that we urgently need public scrutiny and political action to address issues of value extraction and redistribution in HE.
ABSTRACT
The Covid-19 epidemic has affected and is affecting all production, business, trading, and service industries around the world, as well as the education industry. Almost all levels of education, as well as many disciplines and specialities, have shifted to using online teaching methods on various platforms that fit both the needs of social distancing and the requirements of social distancing during the COVID19 pandemic, maintaining the continuity and minimizing disturbance to students and their learning. This study was carried out in a Vietnamese educational institution to explore lecturers' preparation and perspectives towards the use of online teaching methods in physical education during the COVID-19 pandemic. On the basis of data acquired from an online survey given to all school teachers who have engaged in online physical education teaching, the author employed a simple descriptive statistical method for the data analysis. The results show that the vast majority of Vovinam lecturers at the studied context satisfy with their online teaching during the pandemic. Specifically, they are well-prepared before conducting online lessons. In conclusion, we need a high level of preparedness so that we can quickly adapt to the changes in the environment and can adjust ourselves to different delivery modes, for instance, remote learning or online learning in situations of pandemics such as Covid-19. © 2021 ACM.