ABSTRACT
Numerous firms across the globe are now fully utilizing a variety of cutting-edge online communication platform technologies as a result of the COVID-19 epidemic. The usage of various online communication tools by students and instructors is required by higher education institutions in order to maintain an uninterrupted educational process. The goal of this study is to discover more about how university students perceive the advantages and challenges of online learning. It will also look at how students prefer online learning based on prior experiences. In order to determine the degree of agreement among the respondents based on their feedback comments, the 238 data sets that were collected were analysed using the average index value. Frequency analysis was carried out to examine the frequencies and Average Index Value of the respondents in relation to the survey variables. According to students, the most important advantages of online learning were the replay function, which allowed students to access lecture slides and recorded video at a later time to review the courses, and the flexibility of time, which allowed them to access the lecture materials whenever there was a reliable internet connection. On the other hand, inability to maintain concentration in online classes and a lack of self-discipline were the most frequent obstacles with online learning. When it comes to the preferences of students for online learning, the vast majority of them favoured synchronous learning and wanted access to recorded lecture videos and lecture slides after the class for subsequent topic revision. The research findings contribute to the body of knowledge on students' views and preferences toward online learning by considering the perspective of diploma students. © 2023,International Journal of Emerging Technologies in Learning. All Rights Reserved.
ABSTRACT
The coronavirus COVID-19 is affecting 196 countries and territories around the world. The number of deaths keep on increasing each day because of COVID-19. According to World Health Organization (WHO), infected COVID-19 is slightly increasing day by day and now reach to 570,000. WHO is prefer to conduct a screening COVID-19 test via online system. A suitable approach especially in string matching based on symptoms is required to produce fast and accurate result during retrieving process. Currently, four latest approaches in string matching have been implemented in string matching;characters-based algorithm, hashing algorithm, suffix automation algorithm and hybrid algorithm. Meanwhile, extensible markup language (XML), JavaScript object notation (JSON), asynchronous JavaScript XML (AJAX) and JQuery tehnology has been used widelfy for data transmission, data storage and data retrieval. This paper proposes a combination of algorithm among hybrid, JSON and JQuery in order to produce a fast and accurate results during COVID-19 screening process. A few experiments have been by comparison performance in term of execution time and memory usage using five different collections of datasets. Based on the experiments, the results show hybrid produce better performance compared to JSON and JQuery. Online screening COVID-19 is hopefully can reduce the number of effected and deaths because of COVID. © 2022 Institute of Advanced Engineering and Science. All rights reserved.