ABSTRACT
Financial constraints caused by the economic slowdown in 2020 and COVID-19 that followed, affecting the student motivation for academic achievements, are of strategic importance to the global higher education (HE) sectors. This study aims to examine the effects of financial constraints on the motivation and academic performance of students of different nationalities in the United Arab Emirates (UAE) during the pandemic. This study will help us recognize the challenges among students from different backgrounds and nationalities and develop remedial strategies with a global perspective. We used a Likert scale-based questionnaire to collect data on motivation level, and associated variables from a sample of 371 students enrolled in different colleges in the UAE. Statistical techniques such as t-test, F-test, and chi-square test were used to explore the relationship between the variables in the data. The findings of the study revealed that financial constraints during the pandemic did not significantly affect academic motivation, regardless of gender, nationality, and age. The participants expressed that they were prepared and aware of the sunk costs involved in education. However, as the financial impact of the pandemic extended beyond 2020, unemployment increased, and parents were less prepared to bear their children's education costs. This inevitably increased the responsibilities of the universities to provide financial support to deserving students. © 2023, Association for Social Studies Educa. All rights reserved.
ABSTRACT
The main objective of this study was to survey a population aged 22 to 55 years from the Valencian Autonomous Community in Spain (n=72, current or former users of the national education system) about their experiences and opinions surrounding English as a Foreign Language (EFL) in the context of lifelong learning. In addition, qualitative data were collected from participants on their preferences regarding EFL for the second and third terms of the 2021-2022 academic year (n=7), taking into account the changes in teaching methods caused by the pandemic. The study applied a mixed design, first gathering numerical data and then complementing these with narrative data analysed on a semantic scale. The results show that the new non-formal EFL course requirements present challenges related to the transition from fixed-syllabus textbooks to tailor-made courses where students (as indicated by 69,4% of respondents) can determine the subject matter and the percentage distribution of the components of their language courses. © 2022 ACM.
ABSTRACT
Background: We describe the development of a dynamic simulation modelling framework to support agile resource planning during the COVID-19 pandemic. The framework takes into consideration the dynamic evolution of the pandemic and the rapidly evolving policies and processes to deal with the ever-changing outbreak scenarios.Methods: A specific use case based on short-term bed resource planning is described within the proposed framework. The simulation model was calibrated against historical data for the Singapore COVID-19 situation. The time period for model calibration was from 1st April till 30th April 2020. The model was used to project for bed resource needs over the period from 1st May 2020 till 31st May 2020. Multivariate sensitivity analysis was also conducted for ICU and general isolation bed demand, length-of-stay (LOS), and age-adjusted conversion rates across different care needs. The unmet needs under various scenarios were also evaluated for planning purposes.Results: Several variants of the agile resource planning model were developed to adapt to the fast-changing COVID-19 situation in Singapore. The use case demonstrated an agile adaptation of the model to account for previously unexpected scenarios. The rapid evolution of the pandemic locally revealed streams of new infections that arose from two distinct sources. The model projections were calibrated with the latest data for short-term projections. The agility in flexing plans and collaborative management structures to rapidly deploy human and capital resources to surge the level of care during the COVID-19 pandemic have proven utility in guiding the allocation of scarce healthcare resources and helped system resiliency.Conclusions: The rapidly evolving COVID-19 pandemic in Singapore has necessitated the development of an agile and adaptable modelling framework that can be quickly calibrated to changes both from demand and supply. The modelling framework is able to deploy systems modelling concepts in a holistic manner. This facilitates the evaluation of complex cause-and-effect relationships. A robust collaborative framework, coupled with the availability of in-depth domain knowledge and accurate and updated data availability ensures a model is realistic, timely and useful.
Subject(s)
COVID-19ABSTRACT
The COVID-19 (Coronavirus disease 2019) spreads primarily through droplets of saliva or discharge from the nose. COVID-19 is predominantly considered as an unavoidable pandemic, and scientists are very curious about how to provide the best protection to the public before a vaccine can be made available. There is an urge to manufacture a greater number of masks to prevent any aerosol with microbes. Hence, we aim to develop an efficient viral inactivation system by exploiting active compounds from naturally occurring medicinal plants and infusing them into nanofiber-based respiratory masks. Our strategy is to develop fibrous filtration with three-layered masks using the compounds from medicinal plants for viral deactivation. These masks will be beneficial not just to healthcare workers but common citizens as well. In the absence of vaccination, productive masks can be worn to prevent transmission of airborne pathogenic aerosols and control diseases.