The Effectiveness Of The E-Learning Application: Impact Assessment Of The Quality

2017 ◽  
Vol 1 (2) ◽  
pp. 133
Author(s):  
Peter Lengyel ◽  
István Füzesi ◽  
János Pancsira ◽  
Gergely Ráthonyi

<p class="AbstractText">The success and the efficiency of e-Learning should be measured by a reliable method in order to use it effectively. Although, there are several studies about the success of e-Learning systems, only a few of them are about the measurement of this success within the institutions. There is a study of DeLone and McLean (2003) which examines the success of the introduction of e-Learning system with the help of ELSS model (e-Learning System Success).</p><p class="AbstractText">We made two questionnaires to evaluate the application of e-Learning at University of Debrecen, Faculty of Economics and Business. One of them was for the students and the other one asked the lecturers. The aim was to develop such questionnaires which are suitable for both the evaluation of the e-Learning’s quality and its economic benefits.</p><p class="AbstractText">The basis of the e-Learning’s quality questions was Wang’s article (2007), in which he measured the success of the e-Learning systems, therefore the questions of the students’ and the lecturers’ questionnaires were the same.</p><p class="AbstractText">The aim of this survey was to compare the opinions of the students and the teachers regarding the application of e-Learning. The role of the questionnaire for quality development is to give guidance for the University of Debrecen in the e-Learning application.</p>We have used the Mann-Whitney test to evaluate the questionnaires of the students who use the e-Learning system. This method is used to compare the means of two groups in case of ordinal scales or not normally distributed variables. We have also used factor analysis and binominal logistic regression. We have examined whether the background variables manipulating the variables are possible to be developed on the basis of the answers. We used factor analysis to demonstrate this since it contracts the coherent factors into one common factor. Factor analysis is used to compress data and explore data structure. In most cases, factor analysis is used foremost in order to filter out multicollinearity.

Author(s):  
Muhammad Ahmad Amin ◽  
Saqib Saeed

Amongst open-source e-learning systems, WebGoat, a progression of OWASP, provides some room for teaching the penetration testing techniques. Yet, it is a major concern of its learners as to whether the WebGoat interface is user-friendly enough to help them acquaint themselves of the desired Web application security knowledge. This chapter encompasses a heuristic evaluation of this application to acquire the usability of contemporary version of WebGoat. In this context of evaluation, the in-house formal lab testing of WebGoat was conducted by the authors. The results highlight some important issues and usability problems that frequently pop-up in the contemporary version. The research results would be pivotal to the embedding of an operational as well as user-friendly interface for its future version.


2020 ◽  
Vol 21 (1) ◽  
pp. 42-48
Author(s):  
Nadidah Ayu Syafitri ◽  
Muhammad Izman Herdiansyah

Bina Darma University (UBD) as one of the university based information technology currently has been assisted by the use of IT in implementing its strategy. University 4.0 is a university that makes students as a learning center and assisted by the use of IT.  UBD in conducting learning has been assisted by e-learning which is one of the benchmarks of 4.0 University perspectives. E-Learning implementation assists the learning process by students and lecturers. The performance of the e-learning system has not been measured. Measurements are performed to improve the quality of e-learning systems in the 4.0 university perspective. To perform analysis used the IT framework Balanced Scorecard consisting of four perspectives namely Corporate Contribution/Business Contribution, User Orientation, Operational Excellence and Future Orientation. The result of this research is an improved analysis of quality and strategies to improve the quality of e-learning systems in the 4.0 university perspective.


Author(s):  
Mohamed Ben Ammar ◽  
Mahmoud Neji ◽  
Adel M. Alimi

Affective computing is a new artificial intelligence area that deals with the possibility of making computers able to recognize human emotions in different ways. This chapter represents an implemented framework, which integrates this new area with an intelligent tutoring system. The authors argue that tutor agents providing socially appropriate affective behaviors would provide a new dimension for collaborative learning systems. The main goal is to analyse learner facial expressions and show how affective computing could contribute to learning interactions, both by recognizing learner emotions during learning sessions and by responding appropriately.


Author(s):  
Deogratius Mathew Lashayo

The success of e-learning systems in Tanzania relies on various factors that influence its measurement. Examples of the key factors include trust, environmental factors, and the university readiness. However, influence of these factors towards e-learning systems is not clear. Understanding their impacts and significance helps decision makers and stakeholders in making informed decisions on how to handle them. This study modifies the information systems (IS) success model whereby it adopts 12 factors that had been suggested by this author in his previous study conducted in Open University of Tanzania (OUT) in 2017. A sample of 1,005 students from eight universities in Tanzania was collected. A structural equation modelling was used in data analysis. The results shows trust (T) has positive and significant impact on e-learning actual use (EAU) while environmental factors (EF) had positive and significant impacts on e-learning actual use and perceived benefits, and at the same time, university readiness had a positive and significant impact on perceived benefits (PB).


2021 ◽  
Vol 7 ◽  
pp. e723
Author(s):  
Bassam Al-shargabi ◽  
Omar Sabri ◽  
Shadi Aljawarneh

Background The e-learning system has gained a phenomenal significance than ever before in the present COVID-19 crisis. The E-learning delivery mechanisms have evolved to enhanced levels facilitating the education delivery with greater penetration and access to mass student population worldwide. Nevertheless, there is still scope to conduct further research in order to innovate and improve higher quality delivery mechanism using the state-of-the-art information and communication technologies (ICT) available today. In the present pandemic crisis all the stakeholders in the higher education system, i.e., the governments, institutions, and the students expect seamless and efficient content delivery via e-learning platforms. This study proposes the adoption of the e-learning system by the integration of the model proposed by Delon and Mcclean “Information System Success Model” in Jazan University, Kingdom of Saudi Arabia (KSA) and further attempts to identify the factors affecting E-learning applications' success among the students. Methods The data were gathered from 568 respondents. The Statistical Package for the Social Sciences version 26 (SPSS v.26.0) was used for the data analysis and one-way ANOVA is applied to test the hypothesis. Result The overall results of this study allude to the fact that there is a significant relationship between Information system Success Model factors and the adoption of e-learning systems. The research results indicated that the information system success model has a strong associating cost-benefit value towards the adoption of e-learning systems across the Jazan University that may be further expanded to the other Saudi universities.


Author(s):  
Laila Al Maqbali ◽  

Abstract Purpose of Study The study aimed to investigate the impact of quality remote e-learning factors on student satisfaction. Methodology The random sampling method was adopted through a questionnaire in an online survey. The survey used a questionnaire to collect data from 218 students who had experienced online learning. Statistical Package for Social Sciences (SPSS) was used to analyze and interpret the collected data. Findings The study revealed that there was an impact of Information Quality, Service Quality, and System Usage on System Success which in turn has an impact on student satisfaction. It is observed that the experience through the e-learning system determines improvement towards academic knowledge and expertise. Social Implications This study helps HEIs to understand the student’s perception of remote e-learning systems for future improvements. This study has provided insights into remote e-learning systems of higher education institutions in understanding the impact of the system used on student satisfaction. This will help them to improve the e-learning system. Practical Implications The study showed that most of the students opined that the Higher Education Institutions (HEIs) should keep improving their services as it is required to enhance the features and the facilities to increase student satisfaction. Originality No study has ever considered the three key factors which influence the system usage which in turn affects student satisfaction and this research dealt with that. Keywords: E-learning difficulties, Information Quality, System Quality, System Usage, System Success, Student Satisfaction.


2017 ◽  
Vol 6 (4) ◽  
pp. 324 ◽  
Author(s):  
Mefleh Qublan B Al-Juda

This study evaluates the experiences and perceptions of students regarding e-learning systems and their preparedness for e-learning. It also investigates the overall perceptions of students regarding e-learning and the factors influencing students’ attitudes towards e-learning. The study uses convenience sampling in which students of the Education & Arts and Business Administration colleges were e-mailed the survey. Of the distributed questionnaires, 500 completed were received and analysed. The findings revealed that the majority of the sampled participants used and benefited from the e-learning system. The results also indicated that students underwent an adequate training program provided by the University on the use of e-learning. Furthermore, the results disclosed that participants reasonably received technical support when they used electronic cards on e-learning web portals. In addition, regression analysis found that only recorded lectures help to compensate for the virtual class, manuals, instructions and guidelines published at web portals, and the easiness of e-learning system provided by the University were statistically significant with the positive attitude towards the e-learning system. The findings provided a preliminary framework for future studies on e-learning systems across Saudi universities. The findings also suggest administrators, researchers, decision makers, and policy makers should properly plan, design, implement, and promote e-learning with a clear vision in Saudi Arabia.


Author(s):  
Dongsong Zhang ◽  
Lina Zhou

Multimedia-based e-learning systems have become increasingly available. Many of them, however, do not provide sufficient interactivity to learners. E-learners have little control over learning content and process to meet their individual needs. Therefore, the challenges include how to integrate instructional material in different media, and how to provide flexible process control in an e-learning environment to enable personalized knowledge construction and improve learning effectiveness. We propose an e-learning system with interactive multimedia that can help learners better understand learning content and achieve comparable learning performance to that of classroom learning. The results from an empirical study provide significant evidence to support our proposition. The chapter also discusses several important issues towards building effective and sharable multimedia-based e-learning systems.


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