Inicio  /  Informatics  /  Vol: 8 Par: 4 (2021)  /  Artículo
ARTÍCULO
TITULO

The Effectiveness of Online Platforms after the Pandemic: Will Face-to-Face Classes Affect Students? Perception of Their Behavioural Intention (BIU) to Use Online Platforms?

Rana Saeed Al-Maroof    
Noha Alnazzawi    
Iman A. Akour    
Kevin Ayoubi    
Khadija Alhumaid    
Nafla Mahdi AlAhbabi    
Maryam Alnnaimi    
Sarah Thabit    
Raghad Alfaisal    
Ahmad Aburayya and Said Salloum    

Resumen

The purpose of this study is to investigate students? intention to continue using online learning platforms during face-to-face traditional classes in a way that is parallel to their usage during online virtual classes (during the pandemic). This investigation of students? intention is based on a conceptual model that uses newly used external factors in addition to the technology acceptance model (TAM) contrasts; hence, it takes into consideration users? satisfaction, the external factor of information richness (IR) and the quality of the educational system and information disseminated. The participants were 768 university students who have experienced the teaching environments of both traditional face-to-face classes and online classes during the pandemic. A structural equation modelling (SEM) test was conducted to analyse the independent variables, including the users? situation awareness (SA), perceived ease of use, perceived usefulness, satisfaction, IR, education system quality and information quality. An online questionnaire was used to explore students? perceptions of their intention to use online platforms accessibly in a face-to-face learning environment. The results showed that (a) students prefer online platforms that have a higher level of content richness, to be able to implement the three dimensions of users? situation awareness (perception, comprehension and projection); (b) there were significant effects of TAM constructs on students? satisfaction and acceptance; (c) students are in favour of using a learning platform that is characterised by a high level of educational system quality and information quality and (d) students with a higher level of satisfaction have a more positive attitude in their willingness to use the online learning system.

 Artículos similares

       
 
Chengxi Wu, Yuewei Dai, Liang Shan and Zhiyu Zhu    
This paper focuses on developing a data-driven trajectory tracking control approach for autonomous underwater vehicles (AUV) under uncertain external disturbance and time-delay. A novel model-free adaptive predictive control (MFAPC) approach based on a f... ver más

 
Yonghui Cao, Yingzhuo Cao, Shumin Ma, Xinhao Li, Yilin Qu and Yong Cao    
Currently, the bionic robotic fish is primarily devoted to the bionic appearance of fish and rarely involves the bionic swimming posture. However, biological studies have proved that fish have extraordinary swimming ability, so it is necessary to imitate... ver más

 
Ola N. Halawi, Faisal N. Abu-Khzam and Sergio Thoumi    
Enormous amounts of data collected from social networks or other online platforms are being published for the sake of statistics, marketing, and research, among other objectives. The consequent privacy and data security concerns have motivated the work o... ver más
Revista: Algorithms

 
Jihe Wang, Qingxian Jia and Dan Yu    
The issue of active attitude fault-tolerant stabilization control for spacecrafts subject to actuator faults, inertia uncertainty, and external disturbances is investigated in this paper. To robustly and accurately reconstruct actuator faults, a novel mi... ver más
Revista: Applied Sciences

 
Peilun Ju, Yongfeng Ju and Jiacheng Song    
This paper studies the asymptotic control problem of a class of large-scale high-order nonlinear systems (LSHONSs), and an asymptotic fuzzy adaptive dynamic surface controller is developed. Unknown nonlinear terms are learned online by fuzzy logic system... ver más
Revista: Applied Sciences