ABSTRACT
Previous research disclosed that teachers faced challenges while using different learning management systems during the COVID-19 outbreak. This study investigated teachers' perceptions of Microsoft Teams' functionalities and the extent to which they are related to teachers' time spent on it as well as the various factors associated with their syllabus coverage. Situated within human-computer interaction theory, 157 university teachers at Chouaib Doukkali University, Morocco, were administered a questionnaire that measured their perception of the functionalities offered by Microsoft Teams. Results indicated that teachers' perceptions of the functionalities offered by learning management systems also play an intervening variable in the deployment of these tools in teaching. Hence, this paper calls for an extension and re-adaptation of existing models such as the technology acceptance model and the system usability scale to include an evaluation of the functionalities offered by these tools.
ABSTRACT
Previous research disclosed that teachers faced challenges while using different learning management systems during the COVID-19 outbreak. This study investigated teachers' perceptions of Microsoft Teams' functionalities and the extent to which they are related to teachers' time spent on it as well as the various factors associated with their syllabus coverage. Situated within human-computer interaction theory, 157 university teachers at Chouaib Doukkali University, Morocco, were administered a questionnaire that measured their perception of the functionalities offered by Microsoft Teams. Results indicated that teachers' perceptions of the functionalities offered by learning management systems also play an intervening variable in the deployment of these tools in teaching. Hence, this paper calls for an extension and re-adaptation of existing models such as the technology acceptance model and the system usability scale to include an evaluation of the functionalities offered by these tools. Copyright © 2022 Inderscience Enterprises Ltd.
ABSTRACT
COVID-19 has had a profound impact on the lives of all human beings. Emerging technologies have made significant contributions to the fight against the pandemic. An extensive review of the application of tech-nology will help facilitate future research and technology development to provide better solutions for future pan-demics. In contrast to the extensive surveys of academic communities that have already been conducted, this study explores the IT community of practice. Using GitHub as the study target, we analysed the main functionalities of the projects submitted during the pandemic. This study examines trends in projects with different functionalities and the relationship between functionalities and technolo-gies. The study results show an imbalance in the number of projects with varying functionalities in the GitHub community, i.e., applications account for more than half of the projects. In contrast, other data analysis and AI projects account for a smaller share. This differs significantly from the survey of the academic community, where the findings focus more on cutting-edge technologies while projects in the community of practice use more mature technologies. The spontaneous behavior of developers may lack organization and make it challenging to target needs.
ABSTRACT
Due to Covid-19 and to the lockdown enterprises are trying to find ways to continuously sell and promote their products even if their physical shops are closed. Online shopping has been increasing during the pandemic which helps enterprises to remain profitable. Social media are used as e-commerce channels from small and medium enterprises due to the lack of time, budget, and to their useful functionalities. This paper is addressing social commerce functionalities that are used from enterprises in order to remain competitive in the market during the lockdown. In this paper these functionalities are been evaluated and examined in order to find their advantages and disadvantages. The results of this evaluation were that the functionalities of social commerce can benefit SME during pandemic as they don't demand physical contact which is mostly prohibited during pandemic, they are affordable, they don't need much time to be implemented, and also the audience is already gathered and active on social media. However, enterprises should choose the most suitable function for them based on their product and their audience. Social commerce is proven to be useful as a selling channel to small and medium enterprises during the pandemic.
ABSTRACT
Since the discovery of the Coronavirus (nCOV-19), it has become a global pandemic. At the same time, it has been a great challenge to hospitals or healthcare staff to manage the flow of the high number of cases. Especially in remote areas, it is becoming more difficult to consult a medical specialist when the immediate hit of the epidemic has occurred. Thus, it becomes obvious that if effectively designed and deployed chatbot can help patients living in remote areas by promoting preventive measures, virus updates, and reducing psychological damage caused by isolation and fear. This study presents the design of a sophisticated artificial intelligence (AI) chatbot for the purpose of diagnostic evaluation and recommending immediate measures when patients are exposed to nCOV-19. In addition, presenting a virtual assistant can also measure the infection severity and connects with registered doctors when symptoms become serious.