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Role of ICT in Imparting Quality Education and Curbing Cyber Security Risks During COVID-19 Pandemic
Studies in Computational Intelligence ; 1007:337-353, 2022.
Article in English | Scopus | ID: covidwho-1767464
ABSTRACT
The COVID-19 pandemic poses a major obstacle for educational systems. The pandemic has essentially upset the higher education part too, which is a basic determinant of a nation’s economic future. Students, parents, and instructors around the globe are feeling the uncommon expanding influence of the novel coronavirus as schools are closing down and isolation strategies are being requested to adapt to the worldwide pandemic. While governments and well-being authorities are doing their best hindering the episode, worldwide education systems are working together to react and give quality training to all during these troublesome occasions. On these difficult occasions, devices, assets, and tips are abundant;however, how would we discover ones that truly work? There is a rise in the usage of online meeting tools/apps for taking classes online like Zoom, Skype, Google Meet/Classroom, etc. and so is the hazard from these types of apps. Consequently, the objective of this study is to assess the role of ICT instruments accessible in imparting quality instruction and also to examine the effect and techniques for training division in India. The study also suggests ways to curb the security risks of online education using ICT. A structured questionnaire has been used to collect data using random purposive techniques from teachers using ICT for their teaching-learning process during the COVID-19 pandemic. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: Studies in Computational Intelligence Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: Studies in Computational Intelligence Year: 2022 Document Type: Article