scholarly journals Factors Affecting e-Learning Acceptance among Students: The Moderating Effect of Self-efficacy

2022 ◽  
Vol 12 (2) ◽  
pp. 116-122
Author(s):  
Muhammad Safuan Abdul Latip ◽  
◽  
Masliana Tamrin ◽  
Ismayaza Noh ◽  
Faizatul Akmal Rahim ◽  
...  
Keyword(s):  
Higher Education ◽  
Data Analysis ◽  
Social Influence ◽  
Self Efficacy ◽  
Structural Equation ◽  
Higher Education Institutions ◽  
Moderating Effect ◽  
Factors Affecting ◽  
Performance Expectancy ◽  
E Learning

This paper aims to investigate e-learning acceptance in Malaysian higher education institutions and the moderating effect of self-efficacy. This study is crucial as online and distance learning have grown in all education sectors due to the COVID-19 pandemic. A valid sample of 414 survey responses from active students currently enrolled in undergraduate and postgraduate levels in Malaysian higher education institutions was collected for data analysis. Structural Equation Modelling (SEM) was employed in the data analysis. Results indicate that all four exogenous variables (performance expectancy, social influence, perceived enjoyment, and self-efficacy) significantly affect students’ acceptance towards e-learning. However, only performance expectancy and social influence are moderated by self-efficacy towards acceptance of e-learning, as self-efficacy does significantly strengthen the relationship of performance expectancy and social influence towards e-learning acceptance. The findings may serve as a reference point for future studies in response to changing the learning method preferences and technological advancements.

Factors influencing students’ adoption of e-learning: a structural equation modeling approach

2017 ◽  
Vol 10 (2) ◽  
pp. 164-182 ◽  
Author(s):  
Ali Tarhini ◽  
Ra’ed Masa’deh ◽  
Kamla Ali Al-Busaidi ◽  
Ashraf Bany Mohammed ◽  
Mahmoud Maqableh
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Self Efficacy ◽  
Structural Equation ◽  
Equation Modeling ◽  
Content Type ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
E Learning ◽  
Facilitating Conditions

Purpose This research aims to examine the factors that may hinder or enable the adoption of e-learning systems by university students. Design/methodology/approach A conceptual framework was developed through extending the unified theory of acceptance and use of technology (performance expectancy, effort expectancy, hedonic motivation, habit, social influence, price value and facilitating conditions) by incorporating two additional factors, namely, trust and self-efficacy. Data were collected from students at two universities in England using a cross-sectional questionnaire survey between January and March 2015. Findings The results showed that behavioral intention (BI) was significantly influenced by performance expectancy, social influence, habit, hedonic motivation, self-efficacy, effort expectancy and trust, in their order of influencing the strength and explained 70.6 per cent of the variance in behavioral intention. Contrary to expectations, facilitating conditions and price value did not have an influence on behavioral intention. Originality/value The aforementioned factors are considered critical in explaining technology adoption but, to the best of the authors’ knowledge, there has been no study in which all these factors were modeled together. Therefore, this study will contribute to the literature related to social networking adoption by integrating all these variables and the first to be tested in the UK universities.

Is E-Learning a Pro-Active Response to, or Reaction to, Changes in Educational Policy and Patterns of Educational Demand?

2014 ◽  
pp. 253-267
Author(s):  
Allan M. Lawrence ◽  
Peter J. Short ◽  
Deborah Millar
Keyword(s):  
Higher Education ◽  
Educational Policy ◽  
Higher Education Institutions ◽  
Developed Countries ◽  
Quality Factors ◽  
Student Work ◽  
Factors Affecting ◽  
Educational Demand ◽  
E Learning ◽  
The Impact

This chapter reviews and investigates the models and acceptability of E-Learning to the emerging students markets for Higher Education Institutions (HEIs) from the More Developed Countries (MDCs) and seeks to evaluate the differing models of delivery from a practical and a socio-economic perspective. The research also investigates the impact of the shifts in population growth and the subsequent impact upon the levels of demand from students in Less Developed Countries (LDCs) for higher education. In addition, the logistical and quality factors affecting E-Learning are evaluated, looking at the aspects of academic rigour, plagiarism, and the methods of managing the originality and authenticity of student work. Similarly, the research looks at the viability of situations where the education provider may never physically meet the students through the exclusive use of VLEs, and the possible credibility issues that this may present to institutional and awarding body reputations.

Role of IT Culture in Learners' Acceptance of E-Learning

2019 ◽  
pp. 348-364
Author(s):  
James Wairimu ◽  
Susan Githua ◽  
Kenneth Kungu
Keyword(s):  
Higher Education ◽  
Social Influence ◽  
Intention To Use ◽  
Performance Expectancy ◽  
Learning Intention ◽  
E Learning ◽  
It Culture ◽  
Facilitating Conditions ◽  
Role Of It

This chapter sought to explore factors that influence e-learning adoption and use among students in higher education in Kenya. Based on UTAUT model, the study proposes that performance expectancy, effort expectancy, social influence, and facilitating conditions will influence intention to use e-learning. Additionally, the role of IT culture is explored. Performance expectancy, social influence, facilitating conditions, and IT culture were significant in predicting intention to use e-learning. Intention to use significantly predicted usage. Implications for higher education are discussed.

A Comparative Evaluation of E-Learning Adoption in Private and Public Higher Education Institutions

2017 ◽  
pp. 805-828
Author(s):  
Mpe Paulo Mwamahusi ◽  
Titus Tossy
Keyword(s):  
Higher Education ◽  
Strategic Change ◽  
Higher Education Institutions ◽  
Electrical Power ◽  
Factors Affecting ◽  
Empirical Survey ◽  
Management Plans ◽  
Private And Public ◽  
E Learning ◽  
The Government

This paper examines e-learning adoption in Higher Education Institutions (HEIs). The paper examines whether there is a difference between the Private and public HEIs e-learning adoption. The rationale for the examination stands from the fact that scholars are of option that there is different between private and public HEIs e-learning adoption. From an empirical survey conducted in Tanzania, this paper evaluates both staffs and students on the current situations, factors affecting, similarities and differences of e-learning adoption between private and public HEIs. The research reveals that, despite of the government efforts to support e-learning initiative by introducing national ICT polices to boost the level of adoption; very few private HEIs have adopted e-learning compared to public HEIs. The limited initial investment, lack of expertize, lack of guaranteed electrical power, poor strategic change management plans, and lack of innovative ideas are the barriers to e-learning adoption.

scholarly journals Leadership Self-Efficacy, Change Oriented Behavior and Organizational Citizenship Behavior: The Moderating Effect of Experience

2019 ◽  
Vol 8 (4) ◽  
pp. 36
Author(s):  
Adebayo Saheed Adewale ◽  
Hazri Jamil ◽  
Adebayo-Shittabey Khadijah
Keyword(s):  
Higher Education ◽  
Organizational Citizenship ◽  
Organizational Citizenship Behavior ◽  
Self Efficacy ◽  
Higher Education Institutions ◽  
Moderating Effect ◽  
Citizenship Behavior ◽  
Equation Modeling ◽  
Human Society ◽  
Essential Factor

Knowledge is an essential factor in human existence. Education has been found responsible for social, economic, cultural and technological development of human society. Higher education institutions are responsible for producing required skilled human capital needed to enhance sustainable development. For these institutions to meet up with numerous demand of the society and function effectively leadership is an essential factor to be considered. This study examined the effect of leadership self-efficacy, change oriented behavior on staff organizational citizenship behavior in higher education institutions focusing on the moderating effect of experience. A total of 420 staff from 10 different higher education institutions in Lagos State, Nigeria were sampled. Structural Equation Modeling was used to access the moderating effect of experience on these variables. It was found that experience moderates the relationship between leadership self-efficacy, change oriented behavior, change policy and organizational citizenship behavior. Therefore, experience must be considered as a vital factor in higher education management and development.  

scholarly journals E-Learning Adoption and Acceptance in Pakistan: Moderating Effect of Gender and Experience

2020 ◽  
Vol 39 (2) ◽  
pp. 324-341 ◽  
Author(s):  
Faria Kanwal ◽  
Mariam Rehman ◽  
Muhammad Asif Malik
Keyword(s):  
Social Influence ◽  
Technology Acceptance ◽  
Information And Communication Technologies ◽  
Structural Equation ◽  
Computer Anxiety ◽  
Moderating Effect ◽  
Learning Systems ◽  
Intention To Adopt ◽  
E Learning ◽  
Acceptance Model

With the rapid growth of ICT (Information and Communication Technologies), the traditional educational system has been restructured into e-learning systems. E-learning adoption and acceptance is in rudimentary stages of development in Pakistan. Therefore, it is imperative to understand and evaluate the critical factors of technology adoption and acceptance considering the moderating effect of individual differences (gender and experience) based on Technology Acceptance Model. Quantitative analysis was conducted on 356 learners from the Virtual University of Pakistan. Structural Equation Modelling was used to test research models. The results illustrate that the perception of and intention to adopt technology are highly dependent on gender and experience in using e-learning systems. Computer anxiety and social influence are significant predictors of elearning adoption in female learners whereas social influence and enjoyment is significant predictors in less experienced learners than more experienced learners.

scholarly journals Factors Affecting Re-usage Intentions of Virtual Communities Supporting Cosmetic Products

10.28945/3644 ◽  
2017 ◽  
Vol 12 ◽  
pp. 017-036
Author(s):  
Chien-Ta Ho ◽  
Jhong-Min Yang ◽  
Wei-Ting Chen
Keyword(s):  
Social Influence ◽  
Structural Equation ◽  
Online Survey ◽  
Virtual Communities ◽  
Virtual Community ◽  
Future Research ◽  
Factors Affecting ◽  
Performance Expectancy ◽  
Internet Users ◽  
Confirmatory Factor

Aim/Purpose: This study uses a cosmetic virtual community (VC) as the research context and the UTAUT model as the theoretical structure aim to explore factors affecting the re-usage intentions of VC members. Background: The Internet use rate of VC was up to 50%, thereby implying that VC gained the attention of Internet users. Therefore, operating a VC will be an effective way to communicate with customers. However, to maintain an existing member is more efficient than creating a new one. As such, understanding determinants of VC members’ re-use intentions becomes important for firms. Methodology: Through an online survey, 276 valid responses were gathered. The collected data were examined by performing confirmatory factor analysis, structural equation modelling procedures, as well as the moderator analysis. Contribution: This study shows the importance in the context of online cosmetics-related VC, which was rarely explored before. We provide issues for future research, despite the accumulated academic literature related to UTAUT and VC. Findings: Results show that only performance expectancy and social influence significantly affecting re-usage intentions and only gender has moderating effects on the path from performance expectancy to VC re-use intention and from trust to VC re-use intention. Recommendations for Practitioners : This study found that users emphasized performance expectancy most of all. A cosmetic product-related VC should introduce products abundantly, offer useful information, and help people accomplish tasks quickly and productively. Recommendation for Researchers: Future researchers may use our findings to conduct further positivist research in the area of social influence using different subjects and research contexts.

A Comparative Evaluation of E-Learning Adoption in Private and Public Higher Education Institutions

2017 ◽  
pp. 145-168
Author(s):  
Mpe Paulo Mwamahusi ◽  
Titus Tossy
Keyword(s):  
Higher Education ◽  
Strategic Change ◽  
Higher Education Institutions ◽  
Electrical Power ◽  
Factors Affecting ◽  
Empirical Survey ◽  
Management Plans ◽  
Private And Public ◽  
E Learning ◽  
The Government

This paper examines e-learning adoption in Higher Education Institutions (HEIs). The paper examines whether there is a difference between the Private and public HEIs e-learning adoption. The rationale for the examination stands from the fact that scholars are of option that there is different between private and public HEIs e-learning adoption. From an empirical survey conducted in Tanzania, this paper evaluates both staffs and students on the current situations, factors affecting, similarities and differences of e-learning adoption between private and public HEIs. The research reveals that, despite of the government efforts to support e-learning initiative by introducing national ICT polices to boost the level of adoption; very few private HEIs have adopted e-learning compared to public HEIs. The limited initial investment, lack of expertize, lack of guaranteed electrical power, poor strategic change management plans, and lack of innovative ideas are the barriers to e-learning adoption.

Factors Affecting Successful Adoption and Adaption of E-Learning Strategies

2021 ◽  
pp. 19-35
Author(s):  
Enis Elezi ◽  
Christopher Bamber
Keyword(s):  
Higher Education ◽  
Learning Strategies ◽  
Creative Thinking ◽  
Teaching And Learning ◽  
Higher Education Institutions ◽  
Action Learning ◽  
Independent Learning ◽  
Factors Affecting ◽  
E Learning ◽  
The Impact

This chapter explores factors affecting the development of e-learning strategies in the context of higher education institutions. The authors focus on understanding the impact of e-learning on pedagogical approaches to teaching and learning and elaborate on the challenges higher education institutions experience in implementing e-learning strategies. A combination of synchronous and asynchronous delivery allows educational establishments to not only offer a service that is good value for money but promotes action learning, and encourages ownership, independent learning, and creative thinking. This work proposes social networking scaffolding for asynchronous and synchronous e-learning, where the learner is at the centre of a social network system. Furthermore, the chapter provides guidance to higher education governors, leaders, and e-learning technicians in developing and implementing e-learning strategies.

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