Factors affecting university students' intention to adopt e-learning systems: a case study in Jiujiang University

2015 ◽  
Vol 15 (2/3) ◽  
pp. 102 ◽  
Author(s):  
Zhuo Dai
Keyword(s):  
University Students ◽  
Learning Systems ◽  
Factors Affecting ◽  
Intention To Adopt ◽  
E Learning

Factors Affecting on Entrepreneurial Intention of University Students (Case Study on Wollo University)

2021 ◽  
Author(s):  
Abdu Kamil
Keyword(s):  
Environmental Factors ◽  
University Students ◽  
Family Background ◽  
Secondary Data ◽  
Entrepreneurial Intention ◽  
Primary Data ◽  
Personal Factors ◽  
Factors Affecting ◽  
College Of Business

Abstract Background: Entrepreneurship is essential in creating, fulfilling and forming a healthy economy. This study is conducted to investigate Factor Affecting on Entrepreneurial Intention: The case study on Wollo University Students. Some studies have been done in this area but only a few were conducted in Ethiopia. This research aims to address the gap that exists due to the weakness of previous studies to verify the factors that affect entrepreneurial intention and provide more clarification on the topic. Methods: For the purpose of this study explanatory research design was employed. The researcher used stratified random sampling to classify all participants into seven colleges and one school of law. From each stratum proportionally by using purposive sampling to select 226 respondents with graduate students from college of business and economics for the desire of the study. Both primary and secondary data were collected. Primary data were collected through structured questionnaire from 210 students. Secondary data were collected from previous studies and used as reference. Results: The correlation and regression analysis has been applied to see the relationship and how independent variables influence entrepreneurial intention. From the analyses it is confirmed that demographic factors have statistically insignificant effect on entrepreneurial intention, while personal factors, environmental factors and family background have a statistically significant effect on entrepreneurial intention. Conclusions: Based on the findings it is concluded that demographic factor does not affect entrepreneurial intention while personal factors, environmental factors and family background affect entrepreneurial intention.

scholarly journals Students’ Satisfaction with e-Learning Systems During the COVID-19 Pandemic—An International Comparative Study

2021 ◽  
Author(s):  
Shahrokh Nikou ◽  
◽  
Seongcheol Kim
Keyword(s):  
University Students ◽  
Structural Equation ◽  
Course Design ◽  
Teaching Style ◽  
Learning Systems ◽  
Educational Institutions ◽  
Design Quality ◽  
Related Factors ◽  
E Learning ◽  
Students Satisfaction

t In response to the global COVID-19 situation, quarantine measures have been implemented at the educational institutions around the world. This paper aims to determine the antecedent factors predicting the university students’ satisfaction with e-learning systems during the COVID-19 situation. We used structural equation modelling (SEM) and evaluated a conceptual model on the basis of a sample of university students from Finland (n = 131) and South Korea (n = 114). The SEM results showed that the COVID-19 related factors, i.e., COVID19 awareness, perceived challenges during COVID-19 and the educational institutions’ preparedness indirectly influence the satisfaction with e-learning systems. Moreover, we found a statistically significant moderating effect of course design quality, and instructor’s teaching style between the COVID-19 related factors and the satisfaction with e-learning systems. The implications of these results for the management of e‐learning systems are discussed.

E-learning systems reengineering

2008 ◽  
pp. 175-196 ◽  
Author(s):  
Lahcen Oubahssi ◽  
Monique Grandbastien
Keyword(s):  
Software Component ◽  
Learning Systems ◽  
Reference Models ◽  
Learning Platform ◽  
E Learning ◽  
Learning Platforms ◽  
Global Cycle

In this chapter we propose functional specifications and a component-based architecture for designing e-learning platforms. An important feature is that the proposed specifications and architecture are based on the experience gained in an e-learning company and result from a reengineering process. To guide the reengineering process, we used two reference models, which are the e-learning global process and the e-learning global cycle. The functional specifications are described according to the e-learning global cycle phases and they are used to propose a software component based architecture. The proposed kernel of components was completed with services to allow interoperability and standard compliance between several e-learning platforms. We hope that this case-study exemplifies e-learning platform suppliers’ needs and available pragmatic solutions. We conclude on foreseeable evolutions of e-learning actors needs and practices and on new platform features for fulfilling such needs.

Building Socially-Aware E-Learning Systems Through Knowledge Management

2012 ◽  
Vol 8 (3) ◽  
pp. 1-26 ◽  
Author(s):  
Richa Sharma ◽  
Hema Banati ◽  
Punam Bedi
Keyword(s):  
Knowledge Management ◽  
Social Context ◽  
Analytic Hierarchy Process ◽  
Programming Languages ◽  
Learning Organizations ◽  
Learning Systems ◽  
Analytic Hierarchy ◽  
E Learning ◽  
Hierarchy Process

Conformance to social context while designing an e-learning course is crucial in enhancing acceptability of the course. Building socially aware e-learning courses requires elicitation of social opinion from various stakeholders associated with the system. Stakeholders are disparate in their perception towards the intricacies of the system, leading to generation of numerous assorted ideas. Knowledge Management (KM) assimilates these ideas to bring congruency into the system. This paper proposes i) a model KMeLS (Knowledge Management in e-Learning Systems) built upon the SECI (Socialization, Externalization, Combination and Internalization) framework, and ii) an algorithm PARSeL (Prioritizing Alternatives using Recommendations of Stakeholders in e-Learning) to incorporate KM into designing an e-learning course. PARSeL prioritizes the content using stakeholder recommendations using Analytic Hierarchy Process (AHP) and fuzzy modeling. A case study is also presented with a goal of prioritizing a set of programming languages for an online computing course. The proposed methodology can be promising in recommending appropriate content for the e-learners and can be implemented to benefit e-learning organizations in a wider spectrum.

scholarly journals DETERMINING THE FACTORS AFFECTING THE E-LEARNING COURSE ACCEPTANCE OF STUDENTS AT TRA VINH UNIVERSITY

2020 ◽  
Vol 1 (39) ◽  
pp. 35-44
Author(s):  
Linh Huynh Truc Phan ◽  
Khuong Tan Huynh ◽  
An Thi My Nguyen
Keyword(s):  
Factor Analysis ◽  
University Students ◽  
Social Influence ◽  
Influencing Factors ◽  
Structure Analysis ◽  
Research Result ◽  
Linear Structure ◽  
Factors Affecting ◽  
E Learning ◽  
The University

The study is done to confirm the factors that affecting on the acception of the students about electronic atTra Vinh University. The research sample is surveyed from 278 university students of various sụbjects to April 2020 to May 2020, including 254 students are using electronic courses at the university. The study is basedon the method of assessing the reliability of scale by Cronbach’s Alpha, exploratory factor analysis (EFA) and linear structure analysis (SEM). The research result shows that the positively influencing factors on the acception of Tra Vinh University including usefulness, social influence and habits. This study also contributes some solutions to complete the policy of attracting students to use e-learning courses at Tra Vinh University.

scholarly journals Motivation Path between the Difficulties and Attitudes of Using the E-Learning Systems in the Jordanian Universities: Aajloun University as a Case Study

2019 ◽  
Vol 14 (19) ◽  
pp. 26 ◽  
Author(s):  
Ghazi Hussein Shakah ◽  
Ali Taha Al-Oqaily ◽  
Fadi Alqudah
Keyword(s):  
Technology Acceptance ◽  
Learning Difficulties ◽  
Study Data ◽  
Learning Systems ◽  
Learning System ◽  
Technology System ◽  
E Learning ◽  
Motivation Level ◽  
The Relationship

The E-learning systems are important for the universities due to the gained benefits from these systems. By using the E-learning system, the learning expenses can be reduced, the learning management would be improved, and the learning quality could be enhanced. Like any technology system, the students' motivation and positive attitude are success keys of the E-learning adoption by the universities. There are many difficulties faced by the students in using the E-learning system such as the technical difficulties, services difficulties, awareness, interactivity, and security concerns. This study aims to study the effects of the E-learning difficulties on the attitudes of using the E-learning systems through the path of students' motivation. The Technology Acceptance Model (TAM) is adopted to construct the conceptual model in this study. This study considered the E-learning difficulties as independent factor, the mediating factor is the motivation of using the E-learning systems, and the dependent factor is the attitudes toward the using of the E-learning systems. Based on the constructed model, three research hypotheses are developed to test the relationship between the E-learning difficulties and motivation, between motivation and attitudes, and between difficulties and attitudes through the motivation. The quantitative data method using questionnaire is used to collect the study data. The data collected from 154 students from Ajloun University as a case study of Jordanian universities. The case study is selected due the experience of the students in using E-learning system called BigBlueButton. The questionnaire data were analyzed using AMOS tool in order to discover the direct and indirect paths between the study variables. The significant results show that there moderator effects of the students motivation on the relationship between the E-learning difficulties and the attitudes toward the using of these systems. The P-values is significant at p < 0.05 on the relationship between the study variables. Another important result is that the difficulties of E-learning such as technical, services, and interactivity should be avoided to improve the motivation level of using the E-learning systems. Also, the low motivation level lead to decrease the attitudes level toward the using of E-learning systems. The contribution of this study represented by fill the research gap of the motivation path on the relationship between the E-learning difficulties and attitudes. This study gives the university important details about the features of success implementations of E-learning systems.

Application of VoiceXML in e-Learning Systems

2010 ◽  
pp. 92-108 ◽  
Author(s):  
A. A. Azeta ◽  
C. K. Ayo ◽  
A. A. Atayero ◽  
N. A. Ikhu-Omoregbe
Keyword(s):  
Distance Learning ◽  
Visually Impaired ◽  
Learning Systems ◽  
Learning Technology ◽  
Information And Communication ◽  
E Learning ◽  
Visually Impaired Students ◽  
The Voice ◽  
Usability Criteria

This chapter examines the learning environment of visually impaired students in the school for the blind. The level of Information and Communication Technology (ICT) utilization and adoption is reported with specific interest in VoiceXML and its application areas. As a case study, a prototype voice-based e-Learning application for course registration and examination was developed and reported. The system was evaluated using ISO 9241-11 usability criteria. The outcome of the usability evaluation is also presented. The voice-based e-Learning technology described in this chapter will improve accessibility to education, including distance learning for learners who are visually impaired in the school for the blind.

E-Learning Lessons from the Corporate World

2011 ◽  
pp. 514-531
Author(s):  
Geoffrey Dick ◽  
Tom Case ◽  
Craig Van Slyke
Keyword(s):  
Online Learning ◽  
Human Resource Management ◽  
Human Resource ◽  
Learning Systems ◽  
Academic World ◽  
Learning Modules ◽  
Corporate World ◽  
E Learning

This chapter examines the development of online learning systems, how they incorporate reusable learning modules and how various forms of assessment are employed to improve the quality of the learning outcomes. Corporations are adopting online learning, or e-learning, at a dramatic rate, partly driven by a desire for cost reduction and partly to ensure that all staff have the required skills and ability to their jobs. Organizations are increasingly linking the systems for delivery of this learning into human resource management systems. Universities, despite some movement to e-learning are in a position to learn form the developments in the corporate world. A case study is used to illustrate many of the concepts discussed. In conclusion, the chapter suggests how these corporate experiences might be transferred into the academic world and sounds a note of warning for the universities if they fail to match the corporate offerings.

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