Exploring the drivers and barriers for E-learning system impact in the higher education sector

Author(s):  
Norman Lee Dong Chiong ◽  
Na Fu
2021 ◽  
Vol 27 (1) ◽  
pp. 1-28
Author(s):  
Khalil Mohammed Al Khateeb ◽  
Ali Abdullah Al Awadhi

This study aimed at identifying the impact of Covid-19 pandemic on higher education sector in Yemen and the requirements of fighting the consequences. To achieve this objective, the study followed the descriptive content analysis method. The population and sample of the study were (46) items selected from the literature. Major findings revealed consequences of Covid-19 included suspension of university study, death of some university staff, spread of fear and anxiety among academic community, administrative staff and students, inability of Yemeni universities to use an alternative e-learning system (due to the lack of institutional technology), lack of e-learning material, bad internet services and the spread of technological illiteracy among most of teaching staff and students. In light of these findings, the study is concluded with a set of recommendations as follows: the creation of a unified body under the supervision of the two parties in Sana'a and Aden to manage Covid-19 crisis; strengthening awareness of protection; supporting medical services; providing the staff of the Ministry of Higher Education with health insurance; building technological capacity of universities to overcome technology illiteracy; and developing e-learning.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Khalid Abed Dahleez ◽  
Ayman A. El-Saleh ◽  
Abrar Mohammed Al Alawi ◽  
Fadi Abdelmuniem Abdelfattah

PurposeThis research examined the factors affecting several types of student engagement, namely agentic, behavioral, emotional and cognitive engagement. Specifically, it examined the effect of e-learning system usability on student engagement and explored teacher behavior's possible intervening impact on this relationship.Design/methodology/approachData were collected from 418 students studying at different specializations at Omani private academic institutions. This study employed a quantitative methodology and utilized the Smart-PLS for data analyses.FindingsThe findings showed that e-learning system usability influenced significantly and positively agentic, behavioral and cognitive engagement. However, the link between e-learning system usability and emotional engagement was not significant. Moreover, teacher behavior mediated the relationship between e-learning system usability and the four types of engagement.Originality/valueThis study improves one’s understanding of how the interaction of e-learning system usability and teacher behavior affects several aspects of student engagement. It also helps higher education administrators and policymakers by exploring the influential effects of e-learning systems usability and teacher behavior on facilitating students' engagement.


Author(s):  
Raadila Bibi Mahmud Hajee Ahmud-Boodoo

A number of 3.0 e-learning systems have been proposed in the literature to capture the numerous benefits that the Semantic Web has to offer to the higher education sector. These 3.0 e-learning systems identify some essential Semantic Web characteristics that are either discussed as stand-alone factors or tend to revolve around the complexities of the Semantic Web technology and its implementation, often disregarding users' needs. Conversely, a comprehensive analysis of e-learning models for higher education in the literature revealed several Critical Success Factors (CSFs) that are relevant to the Semantic Web but often overlooked in 3.0 e-learning models. Consequently, this chapter provides an overview of the CSFs of e-learning relevant to 3.0 e-learning systems as well as an overview of the main Semantic Web characteristics for e-learning to define a new and combined set of 3.0 e-learning characteristics that will holistically represent 3.0 e-learning systems capturing the needs and expectations of users. The new initial 3.0 e-learning model proposed is evaluated within the higher education sector in Mauritius.


Author(s):  
Mohamad Noor Salih Al-Jedaiah

In order to maximize the true advantage of e-learning, many higher education organizations have invested strongly in knowledge management. Yet the effect on the efficiency of e-learning of these investments remains ambiguous. The purpose of the research was therefore to determine the influence of knowledge management processes on the efficiency of e-learning in northern Jordanian private universities. The findings showed that knowledge management procedures have considerably impaired the capacity to meet the goals, excellence and quality of schooling using 101 answers by faculty members in four private colleges in the north area of Jordan. This suggests that procedures in knowledge management affect private universities ' ability to attain e-learning efficiency. In view of this research, universities should deliver the technologies they need for efficient management of their knowledge management processes and e-learning system. Universities are also to generate and share knowledge with others in a stimulating, promoting, and supportive culture.


Author(s):  
Shantha Fernando

Around the world, e-learning is becoming popular, especially among higher education institutes (universities). Many highly ranked universities have either already deployed an e-learning system and are fully operational, or they are in a process of deployment where e-learning-based and non e-learning-based educational environments co-exist. It is also possible to find a few virtual universities. The amount of money and effort that has to be spent on e-learning is high. In addition to the initial e-learning system installation costs, there are ongoing maintenance, management and content development costs. Due to the rapid growth in the field of e-learning and the role it plays in today’s education systems, those working in the field have begun to introduce standards for different aspects of e-learning. The Open Knowledge Initiative (OKI) which is described as “a collaboration among leading universities and specification and standards organizations to support innovative learning technology in higher education” is an example (OKI, 2003).


Author(s):  
Dana Indra Sensuse ◽  
Darmawan Baginda Napitupulu

<p>E-learning is a model of delivering learning content electronically with the help of computers and multimedia. ABC University has implemented the e-learning system for two (2) years in order to improve the quality of teaching and learning process. This study aims to determine the level of user acceptance, especially from the perspective of students. In other words, this study also wants to evaluate the implementation of e-learning systems in higher education as well as identifying any factors that encourage students to use e-learning system especially in ABC University. The research method used was survey with the approach of TAM (Technology Acceptance Model) as the technology acceptance evaluation model consisting of two main factors: perceived ease of use and perceived usefulness. The results showed perceived usefulness significantly positive influence on user acceptance, while perceived ease of use did not significantly influence on user acceptance. The perceived ease of use also significantly positive influence perceived usefulness. The variance of user acceptance could be explained by two factors about 50.5%. </p>


2020 ◽  
Vol 17 (9) ◽  
pp. 4585-4592
Author(s):  
Nidhi Gupta ◽  
Neeraj Sharma ◽  
Sanjay Sood

The teaching-learning process, especially in higher education has always been a matter of great concern in developing countries as it makes the nation’s youth capable and is a mainstay towards its development. With the introduction of ICT, it has become even more important to change the learning methodology using the latest technologies like e-Learning, m-Learning, Cloud Computing etc., to match with the education standards of developed countries. This aim of this paper is to provide an insight about the use of e-Learning and cloud computing in HEIs. The paper also discusses the various cloud based adoption technologies used for HEIs and illustrates the comparative analysis of the web based and cloud based e-Learning system.


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