ABSTRACT
The unexpected outbreak of the Corona virus (COVID-19) disrupted schools and universities around the world. Traditional classes were canceled, forcing schools and universities to switch to online learning. While developed countries have already adopted e-learning and online learning into their teaching practices, which made the transition relatively easy during the COVID-19 crisis, other developing countries continue to struggle with problems of electricity and information technology infrastructure. The purpose of this paper is to investigate the challenges of online learning faced by students and teachers at the Faculty of Sciences Ain Chock, Hassan II University of Casablanca, Morocco. Thus, two anonymous structured Google Forms questionnaires were sent to participants via email. 498 responses were returned from students and 105 from teachers. We use descriptive statistics to better understand the distribution of study participants. The study reveals that the faculty during the lockdown ensured educational continuity and offered a reliable online learning in terms of digital and educational materials. However, technical problems such as the slow speed of the Internet connection, lack of knowledge about the use of information and communication technologies to teach and learn, low motivation of students, were significant challenges to students' and teachers' use of the digital tools. © 2023, International Journal of Emerging Technologies in Learning. All Rights Reserved.
ABSTRACT
Modern information technology infrastructure is highly complex, and its monitoring requires the integration of different monitoring tools and management systems. This is especially important for businesses that must be able to provide their digital services in crisis situations, such as the COVID-19 pandemic. This paper identifies research methods suitable to evaluate algorithms for integrated processing of graphs and vertex metrics in data streams. They are identified by means of a literature review. The research finding will serve as an input for further research activities on methods and technological solutions that enable the creation of resilient digital services that are able to adapt to changing contexts and crises, combining big data analysis, knowledge management, business data, and knowledge ecosystems. © 2022 IEEE.