Redirigiendo al acceso original de articulo en 19 segundos...
ARTÍCULO
TITULO

Exploring the Impact of Transformation to Fully Online Learning During COVID-19 on Malaysian University Students? Academic Life and Performance

Nabil Hasan Al-Kumaim    
Fathey Mohammed    
Nadhmi A. Gazem    
Yousef Fazea    
Abdulsalam K. Alhazmi    
Omar Dakkak    

Resumen

The COVID-19 pandemic has forced many organizations in the world to fully utilize variety of emerging online communication platform technologies. Higher Education Institutions (HEIs) are among these organizations that obliged students and instructors to use different online communication platforms to insure uninterrupted education process. However, the COVID-19 pandemic has generated many considerable challenges for the global higher education community while using such emerging technologies. The purpose of this study is to analyze university student?s perceptions on the challenges and hurdles they face during the Covid-19 pandemic when they use IT platform applications for online learning activities. This research used mixed methods research with main emphasis on qualitative research, supported by literature content analysis techniques. The data set for this study was collected during peak time of pandemic period between 16th of May 2020 to 5th of Jun 2020. Based on the descriptive analysis using SPSS and the analyzed results using NVivo12 for the data that was collected from 486 students from different universities in Malaysia, students disclosed various obstacles they encounter when they use IT platform applications for online learning. These obstacles are summarized as follows: (1) Work and information overload received from instructors through online learning platforms (2) Technical challenges related to students? lack of affordability for having online learning support facilities (3) Personal health challenges related to stress and anxiety problems.

 Artículos similares

       
 
Sebastiano Gaiardelli, Damiano Carra, Stefano Spellini and Franco Fummi    
Efficiently managing resource utilization is critical in manufacturing systems to optimize production efficiency, especially in dynamic environments where jobs continually enter the system and machine breakdowns are potential occurrences. In fully automa... ver más
Revista: Applied Sciences

 
Rejath Jose, Faiz Syed, Anvin Thomas and Milan Toma    
The advancement of machine learning in healthcare offers significant potential for enhancing disease prediction and management. This study harnesses the PyCaret library?a Python-based machine learning toolkit?to construct and refine predictive models for... ver más
Revista: Applied Sciences

 
Chih-Chiang Wei and Cheng-Shu Chiang    
In recent years, Taiwan has actively pursued the development of renewable energy, with offshore wind power assessments indicating that 80% of the world?s best wind fields are located in the western seas of Taiwan. The aim of this study is to maximize off... ver más

 
Dámaris Núñez-Gómez, Pilar Legua, Vicente Lidón, Agustín Conesa, Juan José Martínez-Nicolás and Pablo Melgarejo    
With a progressively decreasing availability of water for irrigation, the utilization of lower agronomic quality water sources is becoming more prevalent. Compounds such as sodium and boron, due to their impact on crop development and production, are gai... ver más
Revista: Applied Sciences

 
Louis Closson, Christophe Cérin, Didier Donsez and Jean-Luc Baudouin    
This paper aims to provide discernment toward establishing a general framework, dedicated to data analysis and forecasting in smart buildings. It constitutes an industrial return of experience from an industrialist specializing in IoT supported by the ac... ver más
Revista: Information