Stakeholders' psychological factors affecting E-learning readiness in higher education community in Sri Lanka

2015 ◽  
Author(s):  
Chaminda P. Herath ◽  
Samantha Thelijjagoda ◽  
W. K. T. M. Gunarathne
Keyword(s):  
Higher Education ◽  
Sri Lanka ◽  
Psychological Factors ◽  
Learning Readiness ◽  
Factors Affecting ◽  
Education Community ◽  
E Learning

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.

Using the HOT-fit model to predict the determinants of E-learning readiness in higher education: a developing Country’s perspective

2019 ◽  
Vol 24 (6) ◽  
pp. 3555-3576 ◽  
Author(s):  
Marva Mirabolghasemi ◽  
Sahar Hosseinikhah Choshaly ◽  
Noorminshah A. Iahad
Keyword(s):  
Higher Education ◽  
Learning Readiness ◽  
E Learning

Maturity Model for E-Learning Classroom, Bimodal and Virtual Courses in Higher Education

2017 ◽  
Vol 12 (1) ◽  
pp. 19-31 ◽  
Author(s):  
Julia Espinoza-Guzmán ◽  
Marcela Georgina Gómez Zermeño
Keyword(s):  
Higher Education ◽  
Information And Communication Technologies ◽  
Substantial Contribution ◽  
Quality Of Education ◽  
Maturity Model ◽  
Factors Affecting ◽  
Virtual Courses ◽  
Information And Communication ◽  
E Learning

The use of information and communication technologies (ICT) in higher education, in many cases, does not necessarily correspond to an organizational, sustainable and consistent initiative in all courses or undergraduate programs imparted. An associated risk is wasting the potential of ICTs to contribute to the quality of education. This is an exploratory-descriptive, mixed methods investigation at Tecnológico de Costa Rica (TEC) to determine the components and factors affecting a Maturity Model (MM). Participants were students, teachers, and institution officials. Results show the components of a maturity model that provides teachers with a roadmap for implementing e-learning in face-to-face, bimodal and virtual courses, advocating for a substantial contribution to the quality of education at a Costa Rican University.

scholarly journals Factors Affecting Students' Acceptance of e-Learning System in Higher Education

2020 ◽  
Vol 5 (2) ◽  
pp. 54-65
Author(s):  
Nurhafizah Ahmad ◽  
Norazah Umar Umar ◽  
Rozita Kadar ◽  
Jamal Othman
Keyword(s):  
Higher Education ◽  
Learning Style ◽  
Main Idea ◽  
Learning System ◽  
Independent Learning ◽  
Online Questionnaire ◽  
Factors Affecting ◽  
Effective Learning ◽  
Significant Relationships ◽  
E Learning

e-Learning has become the most important supporting tool offering independent learning style among students. The main idea of this paper is to dismantle and analyse factors that influence the acceptance of e-Learning among students in higher education.  An online questionnaire link was distributed to a sample comprising 123 respondents. Significant relationships and strength of relationship were observed between the e-Learning acceptance, quality, e-Learning self-efficacy, enjoyment, accessibility, and computer playfulness. The findings showed that all factors were positively correlated to the e-Learning system except the enjoyment of e-learning that did not affect the acceptance of e-learning. Conclusively, all factors stated were considered the main criteria in designing effective e-learning system. Future works such as embedding and integrating multimedia elements in the e-learning system will be additional attraction to learners and instructors for the effective learning style.

scholarly journals Influence of Attitudinal belief on e-learning behavior Among Academics in State Universities of Sri Lanka

2019 ◽  
Vol 8 (3S3) ◽  
pp. 8-14
Keyword(s):  
Higher Education ◽  
Sri Lanka ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Behavioural Intention ◽  
Model Fit ◽  
Perceived Ease Of Use ◽  
Learning Behavior ◽  
Actual Behaviour ◽  
E Learning

The objective of this paper is to investigate the influence of attitudinal belief of “Decomposed Theory of Planned Behavior” (DTPB) on actual e-learning behavior among university academics in Sri Lanka. The study applied a quantitative method by using questionnaire to collect data among university academics. Explorative and Confirmatory Factor analysis was used to examine the reliability and validity. And this study carried out Structural Equation Modeling to assess model fit and through path analysis, the association between variables was investigated. The study resulted that perceived ease of use, perceived usefulness, compatibility, attitude, behavioural intentions and actual behaviour met the indices for model fit. The findings showed perceived usefulness and perceived ease of use associated with attitude while compatibility is not. Attitude significantly and positively associated with behavioural intention. While behavioural intention positively associated with the actual usage this mediates the relationship between attitude and actual behaviour. The e-learning usage of academicians will help to enhance the quality of higher education system in Sri Lanka as well as to magnify the number of university intake as the country seeks to achieve its vision to be “the knowledge hub in the region and a leader in higher education in Asia by 2020”. Though the e-learning adoption studies are growing trend of education and system researchers as evidenced by extant literature, studies on attitude and intention of academicians especially in an emerging economy like Sri Lanka is still lacking. This study attempts to establish the attitudinal factors that contributes actual e-learning behavior of academicians.

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.

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