scholarly journals Instructor Adoption of E-learning Systems in Tanzania’s Universities: A Proposed Multi-Factors Adoption Model (MFAM11)

2018 ◽  
Vol 2 (2) ◽  
pp. 76 ◽  
Author(s):  
Deogratius Mathew Lashayo ◽  
Md Gapar Md Johar
Keyword(s):  
Information Systems ◽  
Learning Environment ◽  
Research Study ◽  
Learning Systems ◽  
Extensive Literature ◽  
Application Domain ◽  
Delone And Mclean ◽  
Literature Reviews ◽  
E Learning ◽  
Adoption Model

Current studies show that there is no comprehensive adoption model in e-learning systems in universities. This problem opens up to too much debates about which models and frameworks fit well in an e-learning environment particularly in universities in Tanzania. This paper answers the two debatable questions, which are:(1) what are the factors that affect adoption of e-learning systems in Tanzania’s universities, (2) what is the comprehensive e-learning adoption model in universities in Tanzania. This research study adapts DeLone and McLean (2003) IS model after an extensive literature reviews conducted in information systems and in e-learning systems. The findings from this research will add up to literature of limited factors’ model and it will open it up for validation in a different universities’ application domain.

scholarly journals A Systematic Review of the DeLone and McLean Model of Information Systems Success in an E-Learning Context (2010–2020)

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Hala Najwan Sabeh ◽  
Mohd Heikal Husin ◽  
Daisy Mui Hung Kee ◽  
Ahmad Suhaimi Baharudin ◽  
Rosni Abdullah
Keyword(s):  
Systematic Review ◽  
Information Systems ◽  
Learning Context ◽  
Information Systems Success ◽  
Delone And Mclean ◽  
E Learning

Value, Satisfaction, and Effectiveness

2006 ◽  
pp. 18-89
Author(s):  
Yair Levy
Keyword(s):  
Information Systems ◽  
User Satisfaction ◽  
Value Theory ◽  
Learning Systems ◽  
Mediated Learning ◽  
End User ◽  
Perceived Satisfaction ◽  
E Learning ◽  
Education Marketing ◽  
Systems Effectiveness

In this chapter, a comprehensive review of the major literature streams is presented and serves as a foundation for this book. To identify the relevant theories of value, this chapter starts with a discussion of the value theory from the field of behavioral research psychology and explores its implications on research in the fields of education, marketing, and information systems (IS). Rokeach’s Value Survey (RVS) theory, List of Values (LOV) theory, and value of information systems are discussed as the theoretical foundation for this study of learners’ perceived value of e-learning systems. To identify the relevant theories for studying user satisfaction of information systems, this chapter provides a discussion of two valid theories of user satisfaction from the IS field. User Information Satisfaction (UIS) theory and End-User Computing Satisfaction (EUCS) theory are presented as the foundation for guiding the assessment measures related to learners’ perceived satisfaction with e-learning systems. In the pursuit of development of a sound instrument to assess learners’ perceived e-learning systems effectiveness, this chapter continues with a discussion of IS Effectiveness theory from the field of information systems. Technology mediated learning (TML) literature from IS and education is presented (e.g., Alavi, 1994; Alavi, Wheeler, & Valacich, 1995; Hiltz & Johnson, 1990; Hiltz & Wellman, 1997; Leidner & Jarvenpaa, 1993; Marks, 2000; Piccoli, Ahmad, & Ives, 2001; Webster & Hackley, 1997).

scholarly journals Integration of Knowledge Management and E- Learning Technologies in Academic Institutions

2020 ◽  
Vol 7 (2) ◽  
pp. 88
Author(s):  
Sefiu Taiwo Oloruntoyin
Keyword(s):  
Knowledge Management ◽  
Learning Environment ◽  
Learning Process ◽  
Real World ◽  
Learning Technologies ◽  
Learning Systems ◽  
Academic Institutions ◽  
Management Technology ◽  
Efficiency And Effectiveness ◽  
E Learning

This work investigates the integration of e-Learning systems and knowledge management technology to improve, capture, organize and deliver large amounts of knowledge. First, a model is proposed for the phases of knowledge management. The model is then enhanced with concepts and technology from e-Learning. The model is then used to illustrate real world scenarios that add increasing amounts of knowledge management to an e-Learning environment. The system, AMID promises high interactivity, efficiency and effectiveness of integration of knowledge management and e-learning. In addition, the developed system will enhance technical learning process.

Collaborative Activities Management System Model (CAMS) for Web-based Virtual Classrooms

2017 ◽  
Vol 2 (2) ◽  
pp. 1-14
Author(s):  
Ibam E. Onwuka ◽  
Agbonifo O. Catherine ◽  
Adewale O. Sunday
Keyword(s):  
Collaborative Learning ◽  
Learning Environment ◽  
Management System ◽  
Learning Systems ◽  
Learning System ◽  
System Model ◽  
Online Collaborative Learning ◽  
Individual Participant ◽  
E Learning ◽  
Collaborative Activities

Online collaborative learning systems have emerged as one of the most valuable aspects of e-learning systems. E-learning products that lack features for online collaboration among participants are deemed to be incomplete or sub-standard. Collaboration modules within an e-learning system consist of assets for group communication and work “spaces” and facilities. Activities within the collaborative framework of an e-learning system advances collaborative social interaction and the social construction of knowledge. Participants in an e-learning environment get involved in many activities which if not well coordinated could hamper collaboration instead of enhancing it. Therefore, the need to create measurable tools (models) that can coordinate these collaborative activities and provide up-to-date information or status of individual participant and group participants in collaborative activities within an e-learning environment has become inevitable. This work seeks to presents the design of activities management system model for online collaborative learning systems. The model contains some mathematical models for determining the level of involvements of a participant or groups in online classes (class attendance), discussions, project and polls. Their levels of participation are assigned weights and their aggregate value interpreted to give up-to-date status of their involvement in collaborative activities. The model is developed using WAMP tools.

Phenomena of Adoption of Wireless Handheld Devices

2013 ◽  
pp. 20-43
Author(s):  
Abdul Hafeez-Baig ◽  
Raj Gururajan
Keyword(s):  
Information Systems ◽  
Empirical Research ◽  
Healthcare Professionals ◽  
Handheld Devices ◽  
Wireless Technology ◽  
Wireless Devices ◽  
Body Of Knowledge ◽  
Literature Reviews ◽  
Adoption Model ◽  
Operational Aspects

There has been little empirical research into the adoption of wireless technology in healthcare. Although there is a growing interest dedicated to the analysis of technical and operational aspects of wireless devices, there is little research into factors that would lead to the successful adoption of wireless technology in healthcare. Thorough literature reviews were conducted to synthesise adoption theories in the domain of information systems, and shortcomings in the existing literature were highlighted in the context of wireless technology in healthcare. Syntheses demonstrated that there is a need either to expand the existing body of knowledge, or develop new frameworks to accommodate adoption of wireless technology in healthcare. This study has combined the most prominent variables for adoption, identified in the literature, and data collected through healthcare professionals have, to suggest a new adoption model.

A Model to Measure E-Learning Systems Success

2012 ◽  
pp. 293-317 ◽  
Author(s):  
Ahmed Younis Alsabawy ◽  
Aileen Cater-Steel ◽  
Jeffrey Soar
Keyword(s):  
Information System ◽  
Information Systems ◽  
Learning Systems ◽  
Evaluation Methodology ◽  
Information Systems Success ◽  
Information System Success ◽  
Learning Success ◽  
E Learning ◽  
Key Issues ◽  
System Success

E-learning involves adopting and exploiting the potential of new, advanced Information Technology in development and delivery of education. In spite of a rapid growth in the e-learning field there still exists a range of issues facing the stakeholders of e-learning systems. One of the key issues is how to measure e-learning system success. Although considerable attention has been paid to the Information Systems success issue, there remain arguments about the factors which are most effective for measuring Information System success. The issue of measuring Information System success has an impact on evaluating e-learning systems success. This chapter aims to fill this void by proposing an evaluation methodology model to assess e-learning systems success. The contribution of this study is the proposed model to evaluate the success of e-learning systems. The model is based on a thorough review of the e-learning success literature and existing Information Systems success models.

Discovering Learners' Characteristics Through Cluster Analysis for Recommendation of Courses in E-Learning Environment

2019 ◽  
Vol 15 (1) ◽  
pp. 42-66
Author(s):  
Bhupesh Rawat ◽  
Sanjay K. Dwivedi
Keyword(s):  
Cluster Analysis ◽  
Academic Performance ◽  
Learning Environment ◽  
Learning Process ◽  
Recommendation System ◽  
Learning Systems ◽  
Traditional Learning ◽  
Huge Number ◽  
E Learning ◽  
The Web

With the emergence of the web, traditional learning has changed significantly. Hence, a huge number of ‘e-learning systems' with the advantages of time and space have been created. Currently, many e-learning systems are being used by a large number of academic institutions worldwide which allow different users of the system to perform various tasks based on their goals. However, most of these systems follow a ‘one size fits all' approach where same resources are offered to learners irrespective of their unique learning requirements. Therefore, personalization is required as a part of e-learning systems which offers resources to learners based on their profile. This research aims to perform cluster analyses in order to validate clusters created through a k-means algorithm. The clusters will be used to classify a new learner into its appropriate class and recommend relevant courses. Finally, the accuracy of the recommendation is evaluated using various evaluation metrics. The proposed recommendation system helps learners to improve their academic performance and hence overall learning process as well.

Uncertainties and Risks in the Implementation of an E-Learning Information Systems Project in a Higher-Learning Environment: Viewpoints from Estonia

2005 ◽  
Vol 04 (01) ◽  
pp. 37-46 ◽  
Author(s):  
Princely Ifinedo
Keyword(s):  
Risk Factors ◽  
Information Systems ◽  
Learning Environment ◽  
Development Strategy ◽  
Delphi Study ◽  
Emerging Economy ◽  
Higher Learning ◽  
The Other ◽  
Top Management ◽  
E Learning

This paper investigates the sorts of risks and uncertainties inherent in implementing an e-learning information systems project in Estonia. The study uses a variation of the Delphi study in eliciting the risk factors or items from experienced top management professionals within the organisation. The main objective of the study is to identify the uncertainties or risks in the implementation of the systems, using the viewpoint of Estonia, which is an emerging economy. The findings of the work indicate that wrong development strategy, staff volatility, change in top management and lack of funding are amongst the top risk factors in implementing e-learning in Estonia. On the other hand, risks emanating from users' involvement and commitment seem to be viewed as less critical to the success of the project.

scholarly journals A Hierarchical Model to Evaluate the Quality of Web-Based E-Learning Systems

2020 ◽  
Vol 12 (10) ◽  
pp. 4071 ◽  
Author(s):  
Abdul Hafeez Muhammad ◽  
Ansar Siddique ◽  
Ahmed E. Youssef ◽  
Kashif Saleem ◽  
Basit Shahzad ◽  
...  
Keyword(s):  
Information And Communication Technologies ◽  
Pairwise Comparison ◽  
Quality Criteria ◽  
Learning Systems ◽  
Extensive Literature ◽  
Quality Model ◽  
Design Quality ◽  
Web Based ◽  
E Learning

The rapid growth of Information and Communication Technologies (ICT)—specifically, the Internet—has given emergence to e-learning. Resultantly, web-based e-learning systems are being increasingly developed to enhance the learning process. However, the utilization of such systems is low, mainly owing to poor quality content and overall design problems. To improve usage, it is imperative to identify the factors with the most significant impact on the quality of these systems so that the e-learning industry keeps these factors in consideration while developing e-learning systems. This study focused on the identification and prioritization of factors related to the design quality of e-learning systems through a hierarchical quality model. Thus, firstly, an extensive literature review was conducted to identify the factors that most affect the quality of web-based e-learning systems. Secondly, among the identified factors, only those with the most significant effect were considered. To identify the most important quality criteria, a survey was conducted. An instrument was deployed among 157 subjects, including e-learning designers, developers, students, teachers, and educational administrators. Finally, a second instrument was distributed among 51 participants to make a pairwise comparison among the criteria and rank them according to their relative importance. The identified and prioritized factors were classified into four main categories. Among these four factors, content was identified as the most important factor, whereas design was found to be the least important factor.

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