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33. The Emergence of Digital Learning in Higher Education: A Lesson from the COVID-19 Pandemic

Author

Al Masud, Abdullah, Hossain, Md. Alamgir, Biswas, Sukanta, Ruma, Afroza Parvin, Rahman, Kazi Shoyebur, and Tagore, Saurabh

Abstract

Purpose: The coronavirus disease 2019 (COVID-19) has a significant influence on many aspects of life, including education. As a result, the education system in emerging nations such as Bangladesh needs a rapid transition from conventional to technology-based distance learning. This study looks at the current state of higher education and how well online courses that use technology work. Design/methodology/approach: This study used a structural equation model (SEM) to analyze the 392 student records taken from several universities in Bangladesh. Findings: This research showed that students are more likely to use a digital higher education system if faculty are willing, students are eager and the economy is stable. Students who have had a bad experience with digital learning should know that a virtual evaluation system is needed. The willingness of students to use technology also plays a significant role in whether or not the students will take online classes. The research shows that combining traditional classroom and online learning is the best way to create a long-term learning system. Originality/value: The model suggested in this study has a big effect, and Bangladesh policymakers should consider this model when planning a new kind of technology-based education.

Published
2023
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34. Vaccine efficacy and SARS CoV 2 control in California and USA during the session 2020 2026: A modeling study

Author

Mahmud, Md. Shahriar, Kamrujjaman, Md., Adan, Md. Mashih Ibn Yasin, Hossain, Md. Alamgir, Rahman, Md. Mizanur, Islam, Md. Shahidul, Mohebujjaman, Muhammad, and Molla, Md. Mamun

Subjects
Quantitative Biology - Populations and Evolution, 92D25, 92D30, 97M60, 97M99
Abstract

Besides maintaining health precautions, vaccination has been the only prevention from SARS-CoV-2, though no clinically proved 100% effective vaccine has been developed till date. At this stage, to withhold the debris of this pandemic, experts need to know the impact of the vaccine efficacy rate's threshold and how long this pandemic may extent with vaccines that have different efficacy rates. In this article, a mathematical model study has been done on the importance of vaccination and vaccine efficiency rate during an ongoing pandemic. We simulated a five compartment mathematical model to analyze the pandemic scenario in both California, and whole U.S. We considered four vaccines, Pfizer, Moderna, AstraZeneca, and Johnson and Johnson, which are being used rigorously to control the COVID-19 pandemic, in addition with two special cases: a vaccine with 100% efficacy rate and no vaccine under use. Both the infection and death rates are very high in California. Our model suggests that the pandemic situation in California will be under control in the last quartile of the year 2023 if frequent vaccination is continued with the Pfizer vaccine. During this time, six waves will happen from the beginning of the immunization where the case fatality and recovery rates will be 1.697% and 98.30%, respectively. However, according to the considered model, this period might be extended to the mid of 2024 when vaccines with lower efficacy rates are used. The more effective a vaccine, the less people suffer from this malign infection. Although specific groups of people get prioritized initially, mass vaccination is needed to control the spread of the disease.

Published
2021

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