scholarly journals Educator Perceptions of Virtual Learning System Quality Characteristics

2017 ◽  
Vol 29 (3) ◽  
Author(s):  
Indira Padayachee
Keyword(s):  
Higher Education ◽  
Higher Education Institutions ◽  
Virtual Learning ◽  
Quality Characteristics ◽  
Perceived Usefulness ◽  
Learning System ◽  
Digital Learning ◽  
Limited Information ◽  
System Quality ◽  
Quality Model

In higher education institutions, digital learning environments, referred to as virtual learning systems in this article, have been adopted and are becoming increasingly popular among academics. A virtual learning system (VLS) has a suite of tools with associated functions and non-functional system characteristics. Higher education institutions (HEIs) implement a VLS with the intent to assimilate e-Learning with face-to-face instruction and thereby derive associated benefits from its usage. Currently there is limited information on educators’ perceptions on the usefulness of VLS tool functionality, and the importance assigned to non-functional characteristics. This article adapted the generic framework of the ISO 9126 external software quality model to ascertain the perceptions of educators with regards to VLS functionality and non-functional quality characteristics. A case study research strategy was adopted, using two South African higher education institutions. The main contribution of this article is a proposed model representing VLS quality in use characteristics, measured by the constructs of perceived usefulness and perceived importance. In addition to the theoretical contribution, this article makes a practical contribution by providing educators’ recommendations on the improvement of VLS quality characteristics. This article has potentially useful implications for the use of a VLS by educators and future VLS design iterations.

Factors Influencing Virtual Learning System Usage in Higher Education

2020 ◽  
pp. 296-321
Author(s):  
Indira Padayachee
Keyword(s):  
Higher Education ◽  
Higher Education Institutions ◽  
Virtual Learning ◽  
Learning System ◽  
Instructional Designers ◽  
Related Factors ◽  
System Usage ◽  
Actual Usage ◽  
Software Designers ◽  
Factors Influencing

Virtual learning systems (VLSs), commonly referred to as learning or course management systems, have been formally adopted at many higher education institutions. However, knowledge of the actual usage of VLSs is limited in terms of what specific functional and non-functional characteristics are deemed useful and how this influences system usage. Furthermore, little is known about the role of other non-system-related factors related to VLS usage, such as pedagogic, organisational, and individual difference factors. This chapter proposes and describes the virtual learning system usage model (VLSUM), which represents the factors influencing VLS usage in higher education institutions. The VLSUM is based on a conceptual framework integrating multiple dimensions and is confirmed by the results of an empirical study. A mixed-methods research design was adopted in the development of the VSLUM. This model is valuable to educational technologists, instructional designers, and software designers for VLS implementation in higher education.

scholarly journals Factors Influencing Student Satisfaction Towards Using Learning Management System Moodle

2021 ◽  
Vol 17 (1) ◽  
pp. 138-153
Author(s):  
Maan Ali Alkhateeb ◽  
Rania Ahmad Abdalla
Keyword(s):  
Higher Education ◽  
Management System ◽  
Higher Education Institutions ◽  
Learning Management System ◽  
Perceived Usefulness ◽  
Management Systems ◽  
System Quality ◽  
Factors Influencing ◽  
Learning Management ◽  
Students Satisfaction

Higher education institutions are increasingly adopting leaning management systems (LMS) as a complementary tool in improving learning systems. The purpose of this study is explore the factors influencing students' satisfaction in Palestine Technical University-Khadoury (PTUK) in Palestine toward using the learning management system (Moodle). Six potential factors were used including perceived ease of use, perceived usefulness, information quality, system quality, service quality, and computer self-efficacy. Surveying strategy was used to collect the required data; 372 questionnaires were analyzed using simple and multiple regression. The findings revealed that all the examined predictors had significant influence on students' satisfaction toward using LMS. These findings enrich the previous literature with input towards adopting learning management systems in higher education institutions. The authors recommended that the LMS at PTUK should be integrated with social media platforms, and designed in a way that allow it to work fully and properly on mobile phones.

scholarly journals Factors Affecting the Intention to Adopt M-Learning

2019 ◽  
Vol 12 (2) ◽  
pp. 150 ◽  
Author(s):  
Sanduni I. Senaratne ◽  
Samantha M. Samarasinghe
Keyword(s):  
Higher Education ◽  
Intrinsic Motivation ◽  
Mobile Learning ◽  
Self Efficacy ◽  
Perceived Usefulness ◽  
Learning System ◽  
System Quality ◽  
Intention To Adopt ◽  
Factors Influencing ◽  
Tam Model

Over the recent years, emerging technological applications have been used for making student learning more effective and interactive. M-Learning has been one such technological initiative which has shown promising benefits in the higher education context. Even though the importance of mobile learning has been researched by many, the factors influencing mobile learning adoption intention has not been addressed sufficiently, particularly in the Sri Lankan context. Hence, the purpose of this paper was to present a conceptual model to examine the factors influencing the intention to adopt mobile learning by the students engaged in higher education. Based on a comprehensive literature review, this study extended the Technology Acceptance Model (TAM) (Davis, 1989) with mobile self-efficacy, intrinsic motivation to use mobile devices and the system quality of the m-Learning system. The model describes how the aforementioned factors influence the higher education students’ intention to adopt m-Learning via survey data collected from 151 postgraduate students. The findings suggest that the model explained the factors influencing the intention to adopt m-Learning among students in higher education. In detail, the mobile self -efficacy, system quality and intrinsic motivation significantly influenced the intention to adopt m-Learning. The results could be utilized for increasing the adoption of m-Learning practices and developing mobile applications useful for teaching and learning purposes. This study has incorporated three independent constructs in extending the TAM model; namely, system quality, mobile self-efficacy and intrinsic motivation. These were derived from the IS Success theory, Self-efficacy theory and Self-determination theory respectively. Accordingly, this study intends to address the theoretical gap in the higher education context pertaining to the adoption of mobile learning. Since Mobile Self-Efficacy and System Quality were the most significant factors that affect the perceived ease of use and perceived usefulness, these factors should be given prominence when developing mobile enabled Learning Management Systems within institutions.

scholarly journals The impacts of international, national and institutional conditions for higher education on the primary processes of teaching and learning in the higher education institutions in Vietnam

2010 ◽  
Vol 7 (2) ◽  
pp. 47
Author(s):  
Truong Trinh
Keyword(s):  
Higher Education ◽  
Quality Assurance ◽  
Teaching And Learning ◽  
Higher Education Institutions ◽  
System Quality ◽  
Institutional Conditions ◽  
Vietnamese Higher Education ◽  
Challenges And Opportunities

This paper describes how the international, national and institutional conditions affect the primary processes of teaching and learning in the Vietnamese higher education institutions. Under such influences, the Vietnamese higher education institutions are facing both challenges and opportunities in terms of the competitions among institutions. establishment of credit-based system, quality assurance and accreditation.

scholarly journals Factors that Influence the Adoption of Postgraduate Online Courses

2018 ◽  
Vol 13 (12) ◽  
pp. 123 ◽  
Author(s):  
Domingos Santos Martinho ◽  
Eulália Maria Santos ◽  
Maria Isabel Miguel ◽  
Dina Sousa Cordeiro
Keyword(s):  
Higher Education ◽  
Online Learning ◽  
Technology Acceptance ◽  
Online Courses ◽  
Higher Education Institutions ◽  
Structural Equations ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use

A research about factors that lead students to choose online courses, as well as the acceptance of these courses, can provide very relevant information for higher education institutions’ decision makers to amend these offers to students’ interests and needs. An investigation through questionnaire was developed involving students who attended online post-graduate courses. It was intended to know which factors affect students' decision to opt for postgraduate online courses. A model, based on the TAM (Technology Acceptance Model), was tested to find out what factors determine the intention to use online learning. The results shows that most respondents favour online courses and that their decision, when choosing this type of course, is mainly influenced by time management flexibility, avoiding going to school and the course curriculum interest. The test of the model, with structural equations, shows that attitude regarding online courses and perceived usefulness are factors that predict the intention to use. It was also concluded that the perceived ease of use induces a direct and indirect effect on the intention to use. The most significant results are consistent with published studies and can help the higher education institutions to define offer and communication strategies to reach a greater number of candidates for online learning.

The Study of User Acceptance Toward E-Learning System in Higher Education

2017 ◽  
Vol 7 (2) ◽  
pp. 466
Author(s):  
Dana Indra Sensuse ◽  
Darmawan Baginda Napitupulu
Keyword(s):  
Higher Education ◽  
Technology Acceptance ◽  
Evaluation Model ◽  
User Acceptance ◽  
Positive Influence ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning System ◽  
Perceived Ease Of Use ◽  
E Learning

<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>

Measuring instructors continued intention to reuse Google Classroom in Iraq: a mixed-method study during COVID-19

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahmood H. Hussein ◽  
Siew Hock Ow ◽  
Ishaq Ibrahim ◽  
Moamin A. Mahmoud
Keyword(s):  
Higher Education ◽  
Service Quality ◽  
Technology Acceptance ◽  
Mixed Method ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Mixed Method Research ◽  
System Quality ◽  
Perceived Ease Of Use ◽  
Content Type

Purpose The use of learning management systems (LMSs) such as Google Classroom has increased significantly in higher education institutes during the COVID-19 pandemic. However, only a few studies have investigated instructors’ continued intention to reuse LMS. The purpose of this study is to investigate the factors that influence instructors’ intention to reuse an LMS in higher education institutes. Design/methodology/approach This study adopted a mixed-method research design. In the quantitative section, an integrated model of technology acceptance model and information system success model is proposed to explore the effects of system quality, service quality, information quality, perceived ease of use and perceived usefulness on instructors’ satisfaction and how their satisfaction will influence their intention to reuse Google Classroom in the future. In the qualitative section, to gain more understanding, instructors were asked to identify the challenges that inhibit the adoption of e-Learning technologies in public universities in Iraq and what are their recommendations to rectify them. Findings The findings revealed that service quality had no positive influences on the satisfaction of instructors, while other factors had varying levels of influence, the findings further showed that inadequate internet service and students lack of interest are the biggest challenges instructors faced during their experience with Google Classroom. Research limitations/implications To improve the generalizability of the results, future studies are recommended to include larger samples, in addition, further studies are also advised to take individual traits such as age and gender into consideration. Originality/value The outcomes of this study are expected to benefit researchers, policymakers and LMS developers who are interested in factors that affect instructors’ intention to reuse LMS in higher education institutes in developing countries.

scholarly journals Analisis Tingkat Kesiapan Perguruan Tinggi dan Tingkat Kepuasan Pengguna dalam Implementasi E-Learning System Sebagai Dampak dari Pandemi Covid 19

2020 ◽  
Vol 10 (2) ◽  
pp. 93
Author(s):  
Rita Rahayu
Keyword(s):  
Higher Education ◽  
Human Resources ◽  
Higher Education Institutions ◽  
Learning System ◽  
Survey Method ◽  
Technological Readiness ◽  
Level Of Satisfaction ◽  
Self Development ◽  
West Sumatra ◽  
E Learning

This study aims to analyze the level of readiness of higher education institutions in implementing e-learning during COVID-19 pandemic. In addition, this study also tries to analyze the level of satisfaction in using e-learning at higher education. This study applied a survey method by sending online questionnaires to lecturers at various universities in West Sumatra. 112 respondents participated in this study. Based on the data, it was found that the level of technological readiness and human resources readiness at universities in West Sumatra are in the ready category, but still need a little improvement. Meanwhile, the levels of readiness of innovation and self-development are categorized as unprepared, and need improvement. Furthermore, this study also shows that the level of satisfaction of e-learning users is still quite satisfied.

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