Successful E-learning Research Articles

Evaluation of e-learning system on higher education institutions in KSA: a survey at Saudi Electronic University

A review on previous e-learning research suggests a focused evaluation approach to measure the success of the system and its contribution to knowledge share in educational institutions. This paper provides an empirical test of e-learning system success model in the context of higher education in Saudi Arabia. The research examines the effects of the e-learning system at the Saudi Electronic University on knowledge management, by analysing the relationships between the system use and knowledge transfer through DeLone and McLean IS model (2003). The quantitative study was done by administering a survey to 300 students and we obtain 196 effective responses. Applying Structural Equation Modelling (SEM) method, the results show the significant effects of 'System Quality', 'Information Quality' and 'Service Quality' on e-learning system 'Use' and 'User Satisfaction'. Thus, the educational tool use and user satisfaction have a positive impact on 'Net Benefits' in terms of knowledge share, transfer, learning and achieving educational goals.

Measuring Teachers-As-Learners’ Digital Skills and Readiness to Study Online for Successful e-Learning Experience

Abstract Previous studies have analysed the need to measure learners’ readiness for online learning. In the framework of education reform in Latvia, by the end of 2021 the National Centre for Education will implement online courses for all school teachers. However, there is a lack of studies investigating teachers-as-learners’ readiness to study online in Latvia. The aim of the study was to assess Latvian teachers’ readiness to study online with focus on the differences of respondents’ socio-demographic or professional characteristics. 1092 teachers from 100 schools filled in the self-evaluation survey form online. Statistically significant differences were found in all subscales of the survey. Differences in digital skills and in readiness to study online were found at all education levels by respondents’ gender, age group or place of living. Younger respondents, males or city inhabitants showed higher rates. E-learning course should be customized, taking into account learners’ socio-demographic parameters and online learning readiness rate.

Evaluation of e-learning for medical education in low- and middle-income countries: A systematic review

In low- and middle-income countries (LMICs), e-learning for medical education may alleviate the burden of severe health worker shortages and deliver affordable access to high quality medical education. However, diverse challenges in infrastructure and adoption are encountered when implementing e-learning within medical education in particular. Understanding what constitutes successful e-learning is an important first step for determining its effectiveness. The objective of this study was to systematically review e-learning interventions for medical education in LMICs, focusing on their evaluation and assessment methods.Nine databases were searched for publications from January 2007 to June 2017. We included 52 studies with a total of 12,294 participants. Most e-learning interventions were pilot studies (73%), which mainly employed summative assessments of study participants (83%) and evaluated the e-learning intervention with questionnaires (45%). Study designs, evaluation and assessment methods showed considerable variation, as did the study quality, evaluation periods, outcome and effectiveness measures. Included studies mainly utilized subjective measures and custom-built evaluation frameworks, which resulted in both low comparability and poor validity. The majority of studies self-concluded that they had had an effective e-learning intervention, thus indicating potential benefits of e-learning for LMICs. However, MERSQI and NOS ratings revealed the low quality of the studies' evidence for comparability, evaluation instrument validity, study outcomes and participant blinding. Many e-learning interventions were small-scale and conducted as short-termed pilots. More rigorous evaluation methods for e-learning implementations in LMICs are needed to understand the strengths and shortcomings of e-learning for medical education in low-resource contexts. Valid and reliable evaluations are the foundation to guide and improve e-learning interventions, increase their sustainability, alleviate shortages in health care workers and improve the quality of medical care in LMICs.

Grit in Online Education

Aim: This study sought to explore the role of the elusive non-cognitive skill set known as grit, or the resolve and determination to achieve goals regardless of impediments, on student success in online education. It represents an area of exploration where there is a dearth in the available literature and reports the results of a study conducted at a Mid-Atlantic minority-serving university that examined the relationship between grit and student performance in fully online courses.
 Methodology: Students were administered the standard 12-Question Grit Scale with the addition of a series of validated questions that sought to measure perceived self-learning efficacy. Additionally, student performances in online courses were recorded and correlations conducted. Basic statistical analyses such as mean, mode, standard deviation, variance, and confidence interval were calculated. Two hypotheses were introduced as part of this study and tested with Anovas and crosstabulations.
 Results: This study found that higher grit scores correlated progressively to both self-discipline and self-efficacy but that a positive relationship to student achievement in fully online courses as measured with a p value of greater than .05 could not be confirmed.
 Conclusion: As online education continues to grow, providing opportunities to foster and strengthen student success in online courses and programs is increasingly important. E-learning success requires that students exhibit strong self-regulation, self-discipline, resilience, dutifulness, conscientiousness, and low impulsivity all of which are attributes of grit. As such, grit is presented as a promising area of exploration for increasing student achievement in online education.

INVESTIGATING KEY FACTORS FOR SUCCESSFUL E-LEARNING IMPLEMENTATION

Majority of educational institutions have begun venturing into e-learning. Although the e-learning market is growing rapidly, it cannot be denied that the failure rates are increasing in the implementation and usage of e-learning. The Critical Success Factors (CSFs) are the foundation of success behind the implementation of e-learning (Frimpon (2012). Based on the literature analisis, five main factors and eighteen sub-factors were identified as a CSFs for successful e-learning implementation. The CSFs are teacher’s characteristics (teacher's attitude, teacher's computing technical skills, interaction among teaches-students, teaching style, knowledge in e-learning content development and self-efficacy), student’s characteristics (attitude, computer competency, interaction, self-efficacy, motivation and cultural and social norms), information technology infrastructure (internet accessibility, reliability and availability), design and content (perceived ease of use and perceived usefulness) and organization characteristics (training and support).

Prediction of Successful Elearning Based on Activity Logs with Selection of Support Vector Machine based on Particle Swarm Optimization

Prediction is a systematic estimate that identifies past and future information, we predict the success of learning with elearning based on a log of student activities. In our current study we use the Support vector machine (SVM) method which is comparable with Particle Swarm Optimization. It is known that SVM has a very good generalization that can solve a problem. however, some of the attributes in the data can reduce accuracy and add complexity to the Support Vector Machine (SVM) algorithm. It is necessary for existing tribute selection, therefore using the Particle swarm optimization (PSO) method is applied to the right attribute selection in determining the success of elearning learning based on student activity logs, because with the Swarm Optimization (PSO) method can increase accuracy in determining selection of attributes.

Explore the Major Characteristics of Learning Management Systems and their Impact on e-Learning Success

Today, there are many educational institutions and organizations around the world, especially the universities have adopted the e-learning and learning management system concepts because they want to enhance and support their educational process since the number of students who would like to attend universities and educational institutions is increasing. This paper has many objectives, the first one is comparing between different types of most popular learning management system (LMS) software such as Moodle and Blackboard based on their uniqueness features. The second objective is presenting the learning management systems and their benefits in e-learning. Finally, this research paper presents a proposed model, which consists of six independent variables (application and integration, communication, assessment, content, cost, and security), and one dependent variable which is e-learning success. A questionnaire has been developed and distributed to 450 respondents, and then data was collected from 418 valid questionnaires. The result showed that there is a statistically significant impact of learning management system major characteristics on e-learning success.

Effective Adaptive E-Learning Systems According to Learning Style and Knowledge Level

Aim/Purpose: Effective e-learning systems need to incorporate student characteristics such as learning style and knowledge level in order to provide a more personalized and adaptive learning experience. However, there is a need to investigate how and when to provide adaptivity based on student characteristics, and more importantly, to evaluate its value in learning enhancement. This study aims to bridge that gap by examining the effect of different modes of learning material adaptation and their sequences to the learning style and knowledge level of students in e-learning systems. Background: E-learning systems aim to provide acceptability and interactivity between students, instructors, and learning content anytime and anywhere. However, traditional systems are typically designed for generic students irrespective of individual requirements. Successful e-learning systems usually consider student characteristics such as learning style and knowledge level to provide more personalized and adaptive student-system interaction. Methodology: A controlled experiment was conducted in a learning context with 174 subjects to evaluate the learning effectiveness of adaptivity in e-learning systems. Contribution: The main contributions of the paper are threefold. First, a novel adaptive approach is proposed based on a specific learning style model and knowledge level. Second, the approach is implemented in an e-learning system to teach computer security, the application domain. Third, a rigorous experimental evaluation of the learning effect of the adaptive approach is offered. Findings: The results indicate that adaptation according to the combination of learning style and knowledge level produces significantly better learning gains, both in the short-term and medium-term, than adaptation according to either trait individually. Recommendations for Practitioners: Practitioners should consider the combination of learning style and knowledge level when delivering and presenting learning material to their students. Recommendation for Researchers: Researchers should consider sound educational models when designing adaptive e-learning systems. Also, rigorous and carful experimental design evaluations should be taken into account. Impact on Society: Universities and e-learning industries can benefit from the proposed adaptive approach and the findings in designing and developing more personalized and adaptive e-learning systems. The incorporation of student characteristics, especially learning style and knowledge level, may be used to enhance learning. Future Research: The experiment might be duplicated with a focus on longer-term learning gains by including more subjects and more learning resources. Also, the study might be expanded to application domains other than computer security. Moreover, other variables such as student satisfaction, motivation, and affective state might be explored to further the understanding of the effect of adaptivity on learning gains.

The contribution of school culture to the learner success factors in e-learning

<p>This study aimed to portray how a school culture contributed to the learner success factors in e-learning in the middle school level. The ethnographic case study design was applied to explore the school culture and the e-learning success factors more deeply and holistically. The data were collected through observations and in-depth interviews. The cross-case analysis was used to interpret the data. The subjects of the study were four students who won in the national e-learning competition and the setting of the institution was in SMP Tentara Genie Pelajar (TGP) in Malang. The fundamental finding of the study, that might not be found in other research, was that the high-academic performance culture of this school gave an indirect contribution to the students’ e-learning success factors, such as the students’ motivation, the students’ e-learning self-efficacy, the students’ prior knowledge on the e-learning technical competency, and the students’ interaction and collaboration. This study gave a big implication because an ethnographic case study on the e-learning critical success factors might be never done in Indonesia before.</p>

E-Learning Success Model: An Extention of DeLone & McLean IS' Success Model

Learning by using e-learning system at this time become an important part of university to carrying out the education. Learning by e-learning system is very supportive to conventional learning, so it is necessary to measure the success of e-learning implementation. In this article, the research model was developed by integrating. DeLone& McLean IS concept of success model and adoption model of e-learning success. The variables that used in this research is technical system quality, service quality, content and information quality, use, user perceived satisfaction, and individual impact. Data collection is by conducting surveys to e-learning users which is lecturers and students. To test the model that has been developed, conducted a survey on UPN Veteran Jakarta with the total number of respondents as many as 180 respondents and obtained 157 respondents who fill the questionnaire correctly. This research, shows both the use and satisfaction of e-learning system have an impact for individual performance. This research also found that educational system quality and technical quality are the main factors that encourage user satisfaction with e-learning system, while the use of e-learning system that influenced by content & information quality, also user perceived satisfaction for e-learning system.

E-learning critical success factors: Comparing perspectives from academic staff and students

This article advances knowledge on the factors that lead to successful e-learning in universities, through a comparative study of the perspectives of academic staff and students. In particular, it contributes to the limited knowledge bases on the effectiveness of e-learning in Saudi Arabia, and on the differences in perspectives of different groups of stakeholders in e-learning. Based on previous research, a questionnaire was designed and distributed to convenience samples of academic staff and students at King Saud University, Saudi Arabia. Respondents were invited to express their opinion regarding the importance of a number of factors to the success of e-learning. Principal Component Analysis was conducted on each dataset, in turn, to assess the loading of items onto factors, and the variance explained. The most important finding from this study is that the perspectives of students and academic staff differ, with there being nine factors for academic staff and seven for students. Categories that are common to both groups are: student characteristics, instructor characteristics, ease of access, and support and training. The order for academics is: student characteristics, ease of access, instructor characteristics, and support and training; and, the order for students is: instructor characteristics, student characteristics, support and training, and ease of access.

Promotion the E-Learning Success in Universities in Baghdad Through Enhancing their Organizational Innovative Collaboration Environment: A Qualitative Study

Electronic Learning (e-learning) is the process of using the electronic educational shapes of information and courses contents in an inventive way. E-learning is the process of education that offered can be divided into online or distance education, which means that it can deliver education to everyone around the world online through the electronic means such as the internet from different distant countries. In order to promote the e-learning process universities in developing countries such as Iraq, the enhancement of the e-learning success needs to some factors that should be fit with the revolution of technology and enhance the learner’s knowledge. Universities in developing countries such as Iraq, in order to be fit with the rapid growth of technology, it needs to collaborate with other national and international universities to develop e-learning tools and methods. In order to contribute to the success of the e-learning process in universities in Iraq, these universities have to adopt collaboration culture with other universities and innovative culture to follow the global innovation in e-learning process around the world. This paper developed an integrated framework of e-learning through an organizational innovative collaboration environment, analysed it qualitatively through the interviews with students, staff and e-learning centres and found strong relationships between its elements which could participate to improve and add values to the e-learning process in universities in Baghdad.

Determining e-learning success factor in higher education based on user perspective using Fuzzy AHP

Recently almost all universities in the world have implemented E-learning to support their academic system. Previous studies have been conducted to determine CSF using Analytic Hierarchy Process (AHP) method. However, AHP method cannot handle the uncertainty and vagueness of the human’s opinion, so then it causes less appropriate decision. Some researcher has proposed to use fuzzy sets theory with AHP to increase the ability of AHP to deal problem regarding the uncertainty/fuzziness. This study aims to determine ranks of priorities of the multiple factors which influence the E-learning success using FAHP method. The respondents consist of ten e-learning’s experts, 305 lecturers, and 4195 students at Sebelas Maret University. The result describes similar success factors ranking between both experienced and non-experienced user (lecturer and student). Then, the result shows that there are five most influencial success factors of e-learning at Sebelas Maret University based on the lectures perspective Financial Policy, Regulatory Policy, Course quality, Relevant Content and Technical Support. On the other hand, according to the student's point of view five most e-learning, critical success factors are Quality of Course, Relevant of Content, Completeness of Content, Attitudes toward Student, and Flexibility in taking Course. Therefore, this finding can be used by E-learning management of Sebelas Maret University to deteremine a strategy to to achieve successful implementation of e-learning at Sebelas Maret University with consider these factors.

Contributions to a successful e-learning process – a case study

Our study focuses on a post-graduation programme at Autonoma University, Portugal, whose regime has gone from face-toface (f2) to blended- and e-learning. Based on semi-structured interviews, this exploratory study aims to analyse the perceived satisfaction of students attending the programme in the different regimes. Considering the interviews made thus far, we have realised that most prefer f2f, though previous experience attending online courses seems to influence students to a more positive assessment of the e-learning regime. Students consider most relevant for their learning process the methodology used – collaborative learning – and the pedagogical relation fostered by recurring to social networks in addition to the virtual learning systems employed. We aim to introduce improvements to the programme itself, as well as assess the most important aspects and tools students perceive as contributing to a successful learning process. Keywords: e-learning, collaborative learning, virtual learning system, perceived satisfaction.

Analysis of the Factors for the Successful E-Learning Services Adoption from Education Providers’ and Students’ Perspectives: A case study of Private Universities in Northern Iraq

Electronic learning (e-learning) adoption has always been a challenge for developing countries which is often stunted by the facilitating conditions as well as the resistance of both the professionals and students. Two-step research methodology is applied in private Universities of Northern Iraq by utilizing a hypothesized model of technology acceptance model (TAM). First, the readiness factors were investigated through University staff by analysing 516 participants. As the second research objective, the intention of students is explored with 256 valid respondents in these Universities. Data were obtained from seven private Universities’ staff and students via a paper based quantitative survey. Respondents were selected based on the convenience sampling method, where researchers visited Universities during the semester with permission of their administration bodies. The findings reveal that the lowest value was for human resource readiness factor. Cultural acceptance, both from education providers’ and students’ perspective, is quite crucial in order to have a sustainable e-learning applications. From a technical point of view, our findings also confirm the importance of the technological readiness and the main TAM constructs of perceived ease of use (PEOU) and perceived usefulness (PU). Therefore, management of the Universities need to ensure that selected systems adequately address these issues.

E-learning success determinants: Brazilian empirical study

E-learning is a web-based learning ecosystem for the dissemination of information, communication, and knowledge for education and training. Understanding the impact of e-learning on society, as well as its benefits, is important to link e-learning systems to their success drivers. The aim of this study is to find the determinants of user perceived satisfaction, use, and individual impact of e-learning. This study proposes a theoretical model integrating theories of information systems' satisfaction and success in the e-learning systems. The model was empirically validated in higher education institutions and university centers in Brazil through a quantitative method of structural equation modeling. Collaboration quality, information quality, and user perceived satisfaction explain e-learning use. The drivers of user perceived satisfaction are information quality, system quality, instructor attitude toward e-learning, diversity in assessment, and learner perceived interaction with others. System quality, use, and user perceived satisfaction explain individual impact.

A Model for e-Learning Systems Success: Systems, Determinants, and Performance

E-learning is used by higher education institutions and corporate training institutes as a means of solving performance problems, and the accessibility to educational technology which considered as vital for acquisition and dissemination of knowledge to students, as well as interaction between instructors and students. To determine technological solutions for those institutions, an analysis to the literature, and related theories have been conducted depending on the context impact to e-learning system, as well as the interrelationship between e-learning system components and its impact on learner performance. The main findings show that e-learning system is composed of four components, mainly; the instructor, learner, course, and information and communication technologies (ICT), in addition to the context determinants of e-learning system success. The current study, proposed a model for e-learning success, which incorporates eight factors, mainly; e-learning context that include individual, institutional, and environmental determinants to e-learning success. In addition to e-learning components which include instructor, learner, course, and ICT. As well as the learner performance, that aims to measure e-learning success. The proposed model was designed to integrate prior research in the area of e-learning, where it adds set of determinants to e-learning systems success, and find out the best fit of e-learning system components. Moreover, educational institutions can use this proposed model.

Critical Success Factors for Electronic Learning from the Perspectives of Faculty Members and Experts of Tehran University of Medical Sciences, Tehran, Iran, Using Delphi Method and Analytic Hierarchy Process

Background: The present study aimed to investigate and rank the effective success factors for e-learning based on the perspectives of the faculty members, students, and technical specialists of Tehran University of Medical Sciences, Tehran, Iran. Methods: This descriptive survey was conducted using the qualitative-quantitative method. At the first stage of the qualitative approach, 15 specialists in e-learning were selected from the Tehran University of Medical Sciences through the purposive sampling technique to discuss and confirm the effective factors in the e-learning success using the Delphi method and a questionnaire. Subsequently, these students categorized the effective factors in the success of e-learning based on their level of importance using a researcher-made paired comparison questionnaire and analytical hierarchy process. The reliability of the study tools was confirmed by showing a Cronbach’s alpha coefficient of higher than 0.7, and their structural validity was confirmed using the confirmatory factor analysis. Results: According to the results of the study, the management with the relative weight of 0.311 was found to be the most effective factor in determining the success of e-learning. This factor was followed by support services, teaching strategies, financial sources, technology infrastructure, and teacher-learner with relative weights of 0.236, 0.197, 0.124, 0.094, and 0.038, respectively. Conclusion: As the findings of the current study indicated, the factors of management, support services, education strategies, financial sources, and technology infrastructure had the highest significance in e-learning, respectively, whereas the factor of teacher-learner had the lowest importance in this regard.

KPIs identification for evaluating E-learning courses through students’ perception

The use of e-learning in education is an ever-increasing practice. E-learning could generate effective learning for education. There are several factors affecting the creation of successful e-learning for education as well as several criteria possibly applied to evaluate the effectiveness. The “trad

Uncovering the pathways to e-learning success: A qualitative approach

This paper reports a qualitative study on the effectiveness of an e-learning framework (IPTEACES) for Insurance Broker Training Program Certifications, using a sample of 3,726 trainees from 16 different corporations from insurance and banking industries in Portugal. We’ve applied fuzzy-set Qualitative Comparative Analysis (fsQCA) technique, which offers improved results when compared to the use of quantitative traditional statistical methods (e.g. regressions, structural equations modeling) that only provide an estimated solution to the dependent variable at stake. Findings suggest higher training success levels are achieved by: older, more educated women trainees attending banking training events covering a large breadth (double course). Concerning lower training success results, evidence shows that those are achieved by: less educated male trainees, attending insurance training events covering a single course. These study results are consistent with previous reported work that followed a quantitative approach.