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The Impact and Challenges of Covid-19 Pandemic on E-Learning
5th International Conference on Emerging Technologies in Computer Engineering: Cognitive Computing and Intelligent IoT, ICETCE 2022 ; 1591 CCIS:560-572, 2022.
Article in English | Scopus | ID: covidwho-1899029
ABSTRACT
COVID-19 has caused havoc on educational systems around the globe, impacting over 2 billion learners in over 200 countries. University, college, and other institutional facility cutbacks have impacted more than 94% of the world’s largest population of students. As a result, enormous changes have occurred in every aspect of human life. Social distance and mobility restrictions have significantly altered conventional educational procedures. Because numerous new standards and procedures have been adopted, restarting classrooms once the restrictions have been withdrawn seems to be another issue. Many scientists have published their findings on teaching and learning in various ways in the aftermath of the COVID-19 epidemic. Face-to-face instruction has been phased out in a number of schools, colleges, and universities. There is concern that the 2021 academic year, or perhaps more in the future, will be lost. Innovation and implementation of alternative educational systems and evaluation techniques are urgently needed. The COVID-19 epidemic has given us the chance to lay the groundwork for digital learning. The goal of this article is to provide a complete assessment of the COVID-19 pandemic’s impact on e-learning and learning multiple papers, as well as to suggest a course of action. This study also emphasises the importance of digital transformation in e-learning as well as the significant challenges it confronts, such as technological accessibility, poor internet connectivity, and challenging study environments. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Experimental Studies Language: English Journal: 5th International Conference on Emerging Technologies in Computer Engineering: Cognitive Computing and Intelligent IoT, ICETCE 2022 Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Experimental Studies Language: English Journal: 5th International Conference on Emerging Technologies in Computer Engineering: Cognitive Computing and Intelligent IoT, ICETCE 2022 Year: 2022 Document Type: Article