ABSTRACT
The article provides a vivid illustration of the challenges faced by the education sector during the pandemic. Education disruptions have increased stress and anxiety in students and their families. In addition to this, schools in rural areas and underdeveloped countries failed to provide the necessary equipment and facilities to help the students proceed with online classes. These articles have relied on secondary data and information to understand various concepts and theories. In order to combat these consequences, a worldwide initiative called REDS was formed to analyze the opinion of students and individuals connected with the education sector and remodel the system for combating the challenges posed by the pandemic. The study proceeded with the help of thematic analysis. © 2023 EDP Sciences. All rights reserved.
ABSTRACT
The paper, through the lens of positioning and agency theories, examines the experiences of being stranded in the home country due to the restricted mobility caused by the COVID-19 pandemic of 10 international doctoral students of different nationalities (Chinese, Vietnamese, Malaysian, and Indian), majoring in different disciplines (Education, Linguistics, Applied linguistics, Economics, Public health, and Civil engineering), and studying in different countries (New Zealand, Australia, and the United States). With an aim to explore the abrupt immobility and its subsequent impacts on the students' learning, the article highlights the challenges that the students had to tackle including the feelings of being in limbo, nostalgia, and detachment, and faced with academic challenges due to the physical distance from the study destination. Accordingly, they had to self-position and reposition themselves and enact different forms of agency to confront the difficulties, including agency for becoming, needs-response agency, and agency as struggle and resistance. The findings highlight how the international PhD students mobilized resources to develop their independence as future researchers, as well as their connection with the academic communities in their home countries in various ways. © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
ABSTRACT
Objective: Teaching is often described as one of the most emotional-laden professions, and teachers experience a wide range of emotions while teaching. In times of the COVID-19 pandemic, the crisis of conversion to online teaching has triggered new emotional experiences of teachers that not many studies have taken into account. Method: Studying emotion from a post-structuralist lens, this study examines the emotional orientations of Vietnamese higher education language teachers and their emotional responses in online teaching environments. Results: The findings show that the pedagogically and technologically distinctive features of online teaching aroused unique challenges and emotions of teachers, both positive and negative. Also, the teachers reported a number of strategies to cope with the new situation. Conclusion: The study highlights the critical need for acknowledgement and support of institutions for the transition to online teaching in the "new normal situation”. © 2021 Australian Psychological Society.
ABSTRACT
The pain, namely “Covid-19 epidemic", has caused many sacrifices, loss, and loneliness. Only those who have experienced traumatic losses can fully understand the pain that is hard to erase by the epidemic. This study focuses on designing a remote medical assistance vehicle used in quarantine areas in Vietnam to support epidemic prevention with simple, cheap, easy-to-use, and multi-function criteria. The proposed system includes a 3-layer vehicle for transporting supplies controlled remotely via Radio Frequency (RF) signals to help limit cross-infection for medical staff and volunteers. The main component is the RF transceiver circuit, which transmits and receives data wirelessly over 2.4 GHZ RF using IC Nrf24l01, Nordic standard SPI interface for remote control. DC motor driver circuit BTS7960 43A controls the motor to prevent overvoltage and current drop. Moreover, the vehicle integrates an electric sprayer to support disinfecting spray a Xiaomi camera to stream video and communicate directly with patients and healthy in isolation. Ultrasonic sensors and infrared sensors aim to scan obstacles through reflected waves. The reflected signals received from the barrier objects are used as input to the microcontroller. The microcontroller is then used to determine the distance of objects around the vehicle. If an obstacle is detected, the disinfectant sprayer can stop for several seconds to ensure the safety of medical staff if there is a pass. The system has a built-in light sensor that works at night. The system is deployed at a low cost and is evaluated through some experiments. It is expected to be easy to use and is an innovative solution for hospitals. Once the outbreak is over, the product can still be used in infectious disease areas. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
Currently, the pandemic caused by a novel coronavirus, namely severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is one of the most serious issues worldwide. SARS-CoV-2 was first observed in Wuhan, China, on December 31, 2019;this disease has been rapidly spreading worldwide. Iran was the first Middle East country to report a coronavirus death, it has been severely affected. Therefore, it is crucial to forecast the pandemic spread in Iran. This study aims to develop a prediction model for the daily total confirmed cases, total confirmed new cases, total deaths, total new deaths, growth rate in confirmed cases, and growth rate in deaths. The model utilizes SARS-CoV-2 daily data, which are mainly collected from the official website of the European Centre for Disease Prevention and Control from February 20 to May 04, 2020 and other appropriated references. Autoregressive integrated moving average (ARIMA) is employed to forecast the trend of the pandemic spread. The ARIMA model predicts that Iran can easily exhibit an increase in the daily total confirmed cases and the total deaths, while the daily total confirmed new cases, total new deaths, and growth rate in confirmed cases/deaths becomes stable in the near future. This study predicts that Iran can control the SARS-CoV-2 disease in the near future. The ARIMA model can rapidly aid in forecasting patients and rendering a better preparedness plan in Iran.