Effects of Perceived Quality of e-Learning System on User Satisfaction and Learning Immersion

2019 ◽  
Vol 20 (7) ◽  
pp. 71-88
Author(s):  
Gyu Hong Han ◽  
Seung Nyoung Beak
Keyword(s):  
User Satisfaction ◽  
Perceived Quality ◽  
Learning System ◽  
E Learning

End-User Quality of Experience-Aware Personalized E-Learning

2011 ◽  
pp. 281-301
Author(s):  
Cristina Hava Muntean ◽  
Gabriel-Miro Muntean
Keyword(s):  
Learning Process ◽  
User Satisfaction ◽  
Quality Of Experience ◽  
Learning System ◽  
Learning Performance ◽  
End User ◽  
Delivery Performance ◽  
E Learning ◽  
Result Analysis

Lately, user quality of experience (QoE) during their interaction with a system is a significant factor in the assessment of most systems. However, user QoE is dependent not only on the content served to the users, but also on the performance of the service provided. This chapter describes a novel QoE layer that extends the features of classic adaptive e-learning systems in order to consider delivery performance in the adaptation process and help in providing good user perceived QoE during the learning process. An experimental study compared a classic adaptive e-learning system with one enhanced with the proposed QoE layer. The result analysis compares learner outcome, learning performance, visual quality and usability of the two systems and shows how the QoE layer brings significant benefits to user satisfaction improving the overall learning process.

End-User Quality of Experience-Aware Personalized E-Learning

2008 ◽  
pp. 154-174 ◽  
Author(s):  
Cristina Hava Muntean ◽  
Gabriel-Miro Muntean
Keyword(s):  
Learning Process ◽  
User Satisfaction ◽  
Quality Of Experience ◽  
Learning System ◽  
Learning Performance ◽  
End User ◽  
Delivery Performance ◽  
E Learning ◽  
Result Analysis

Lately, user quality of experience (QoE) during their interaction with a system is a significant factor in the assessment of most systems. However, user QoE is dependent not only on the content served to the users, but also on the performance of the service provided. This chapter describes a novel QoE Layer that extends the features of classic adaptive e-learning systems in order to consider delivery performance in the adaptation process and help in providing good user perceived QoE during the learning process. An experimental study compared a classic adaptive e-learning system with one enhanced with the proposed QoE Layer. The result analysis compares learner outcome, learning performance, visual quality and usability of the two systems and shows how the QoE Layer brings significant benefits to user satisfaction improving the overall learning process.

scholarly journals Analisis Kualitas Website Terhadap Kepuasan Penggunaan Elarning Universitas Bina Darma Sebagai Pembelajaran Di Masa Pandemi Covid 19 Menggunakan Metode WEBQUAL 4.0

2021 ◽  
Vol 2 (4) ◽  
pp. 248-262
Author(s):  
Sisca Monita ◽  
Ilman Zuhri Yadi
Keyword(s):  
Online Learning ◽  
Distance Learning ◽  
Computer Technology ◽  
User Satisfaction ◽  
Learning Systems ◽  
Learning System ◽  
Distance Learning System ◽  
E Learning ◽  
Positive Effect

E-learning is an electronic distance learning system that uses network and computer technology. There are many models of using e-learning, one of which is the use of e-learning at Bina Darma University during the COVID-19 pandemic, where more use of e-learning and online learning systems during the pandemic period, for this reason the quality of e-learning services can be measured using Webqual. Webqual is a method used to measure website quality based on end users. Webqual is structured in research on 3 dimensions, namely Usability, information, and service interaction. This study aims to determine the quality of the e-learning website of Bina Darma University as student learning taken by 101 students and to find out the most influential indicators in the quality of e-learning. If the alpha value is greater than the R table, then the consistency of the R table is declared valid. On the Likert test scale, it is known that the usability dimension or indicator gets the highest usability level, so the usability dimension has a positive effect on user satisfaction.

scholarly journals Profile reliability to improve recommendation in social-learning context

2018 ◽  
Vol 44 (2) ◽  
pp. 433-454 ◽  
Author(s):  
Corinne Amel Zayani ◽  
Leila Ghorbel ◽  
Ikram Amous ◽  
Manel Mezghanni ◽  
André Péninou ◽  
...  
Keyword(s):  
Social Network ◽  
Social Learning ◽  
Learning System ◽  
Learning Context ◽  
Content Type ◽  
Semantic Relationships ◽  
The Hierarchical Structure ◽  
E Learning ◽  
Many Sources

Purpose Generally, the user requires customized information reflecting his/her current needs and interests that are stored in his/her profile. There are many sources which may provide beneficial information to enrich the user’s interests such as his/her social network for recommendation purposes. The proposed approach rests basically on predicting the reliability of the users’ profiles which may contain conflictual interests. The paper aims to discuss this issue. Design/methodology/approach This approach handles conflicts by detecting the reliability of neighbors’ profiles of a user. The authors consider that these profiles are dependent on one another as they may contain interests that are enriched from non-reliable profiles. The dependency relationship is determined between profiles, each of which contains interests that are structured based on k-means algorithm. This structure takes into consideration not only the evolutionary aspect of interests but also their semantic relationships. Findings The proposed approach was validated in a social-learning context as evaluations were conducted on learners who are members of Moodle e-learning system and Delicious social network. The quality of the created interest structure is assessed. Then, the result of the profile reliability is evaluated. The obtained results are satisfactory. These results could promote recommendation systems as the selection of interests that are considered of enrichment depends on the reliability of the profiles where they are stored. Research limitations/implications Some specific limitations are recorded. As the quality of the created interest structure would evolve in order to improve the profile reliability result. In addition, as Delicious is used as a main data source for the learner’s interest enrichment, it was necessary to obtain interests from other sources, such as e-recruitement systems. Originality/value This research is among the pioneer papers to combine the semantic as well as the hierarchical structure of interests and conflict resolution based on a profile reliability approach.

QUALITY OF THE INTEGRATED E-LEARNING SYSTEM – STUDENTS’ PERSPECTIVE

2017 ◽  
Author(s):  
Ana Ćorić Samardžija ◽  
Sandra Kučina Softić ◽  
Zvonko Martinović
Keyword(s):  
Learning System ◽  
E Learning

scholarly journals Perceived Quality in Sports Centers in Southern Spain: A Case Study

2019 ◽  
Vol 11 (14) ◽  
pp. 3983 ◽  
Author(s):  
Alfonso Castillo-Rodriguez ◽  
Wanesa Onetti-Onetti ◽  
José Luis Chinchilla-Minguet
Keyword(s):  
Customer Loyalty ◽  
User Satisfaction ◽  
Perceived Quality ◽  
Measuring Instruments ◽  
Level Of Satisfaction ◽  
Center Activity ◽  
Different Dimensions ◽  
The City

The aim of this study was to analyze the level of satisfaction in three municipal sports centers in the city of Malaga and to learn and analyze the characteristics of users older than 40 years of age in these centers. A total of 303 persons (123 men and 180 women) from three sports centers in the city of Malaga participated in this study (M = 58.14, SD = 7.16 years). The Evaluation of Perceived Quality in Sports Services test (CECASDEP) was used, and the results demonstrated that the different dimensions studied—sports center, activity space, locker rooms, program of activities, and trainer—were very positively correlated. The level of customer loyalty increased with user satisfaction and perceived quality of services as well as the age of the person. Users were also found to be more motivated to take part in physical activities due to greater satisfaction. The highest scores were given to the trainers, who played a key role in all three sports centers. In conclusion, we gathered important insights into perceived quality in different sports centers. This information can be used by sports managers to strengthen dimensions with lower scores and improve those with higher scores. In addition, the study confirms that the level of customer loyalty is related to the perceived quality scores. Therefore, the use of measuring instruments is recommended to optimize the quality of sports services.

scholarly journals The Use of Virtual Reality in Geo-Education

2020 ◽  
Vol 15 (20) ◽  
pp. 59
Author(s):  
Nurzhanat Dalelovna Shakirova ◽  
Nidal Al Said ◽  
Svetlana Mihailovna Konyushenko
Keyword(s):  
Virtual Reality ◽  
Subjective Assessment ◽  
Physical Geography ◽  
Google Earth ◽  
Learning System ◽  
Technological Capabilities ◽  
Before And After ◽  
E Learning ◽  
The Impact

The paper discusses the technological capabilities of virtual reality (VR) in the field of education as a highly developed form of computer modeling. VR is con-sidered to be able to revolutionize the education field since it provides better en-gagement in learning activities than other teaching methods. In order to study the impact of VR technology on ensuring the quality of e-learning, an experiment is conducted during the Physical Geography online course. The current research in-volves 60 third-year students from the Abai Kazakh National Pedagogical Uni-versity, Moscow Pedagogical State University, and Ajman University. All the re-spondents were divided into two groups. The training of the first group is under-gone through distance learning in the Moodle e-learning system, while the educa-tional process of the second is supplemented with the technological capabilities of the latest VR services (Google Earth, Apple Maps, My Way VR, The VR Muse-um of Fine Art). During the study, students’ subjective assessment of the training is performed according to the basic, expected, and desirable criteria. The exami-nation is carried out in two stages - before and after the course. At the first stage of the assessment, the use of VR corresponds to the desired quality of the educa-tional product. However, after the course and the acquiring of virtual experience, the transfer of the students' desired training criteria into the expected can be ob-served. This indicates a high degree of adaptability of VR technology in educa-tion as well as an increase in the respondents' requirements against the quality of subsequent training courses. Consequently, a significant impact of immersive technology's evolution on the demands on the e-learning quality can be noted.

PENINGKATAN KINERJA SISTEM E-LEARNING DALAM PERSPEKTIF UNIVERSITAS 4.0 MENGGUNAKAN KERANGKA IT BALANCED SCORECARD

2020 ◽  
Vol 21 (1) ◽  
pp. 42-48
Author(s):  
Nadidah Ayu Syafitri ◽  
Muhammad Izman Herdiansyah
Keyword(s):  
Balanced Scorecard ◽  
Future Orientation ◽  
Learning Systems ◽  
Learning System ◽  
Corporate Contribution ◽  
E Learning ◽  
User Orientation ◽  
The University ◽  
Operational Excellence

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.

A sustainable quality assessment model for the information delivery in E-learning systems

2018 ◽  
Vol 46 (1) ◽  
pp. 1-25 ◽  
Author(s):  
Shahid Farid ◽  
Rodina Ahmad ◽  
Mujahid Alam ◽  
Atif Akbar ◽  
Victor Chang
Keyword(s):  
Quality Assessment ◽  
State Of The Art ◽  
Statistical Tests ◽  
Information Delivery ◽  
Learning Systems ◽  
Learning System ◽  
Assessment Model ◽  
Content Type ◽  
E Learning

Purpose The purpose of this study is to propose a sustainable quality assessment approach (model) for the e-learning systems keeping software perspective under consideration. E-learning is becoming mainstream due to its accessibility, state-of-the-art learning, training ease and cost effectiveness. However, the poor quality of e-learning systems is one of the major causes of several failures reported. Moreover, this arena lacks well-defined quality assessment measures. Hence, it is quite difficult to measure the overall quality of an e-learning system effectively. Design/methodology/approach A pragmatic mixed-model philosophy was adopted for this study. A systematic literature review was performed to identify existing e-learning quality models and frameworks. Semi-structured interviews were conducted with e-learning experts following empirical investigations to identify the crucial quality characteristics of e-learning systems. Various statistical tests like principal component analysis, logistic regression, chi-square and analysis of means were applied to analyze the empirical data. These led to an adequate set of quality indicators that can be used by higher education institutions to assure the quality of e-learning systems. Findings A sustainable quality assessment model for the information delivery in e-learning systems in software perspective has been proposed by exploring the state-of-the-art quality assessment/evaluation models and frameworks proposed for the e-learning systems. The proposed model can be used to assess and improve the process of information discovery and delivery of e-learning. Originality/value The results obtained led to conclude that very limited attention is given to the quality of e-learning tools despite the importance of quality and its effect on e-learning system adoption and promotion. Moreover, the identified models and frameworks do not adequately address quality of e-learning systems from a software perspective.

scholarly journals Analysis of Learning Governance Using E-Learning with Technology Acceptance Model (TAM) In the Covid-19 Pandemic ERA

2021 ◽  
pp. 80-88
Author(s):  
Nurohman1 ◽  
Nurhayati ◽  
Wiji Lestari
Keyword(s):  
Data Processing ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Organizational Support ◽  
User Satisfaction ◽  
Learning System ◽  
Research Approach ◽  
E Learning ◽  
Acceptance Model ◽  
Strongly Agree

The learning with e-learning is not only due to aspects of the development of information technology but also due to the Covid-19 pandemic. The Covid-19 pandemic has forced all levels of society to adhere to the New Normal way of life. Elearning is a solution for learning in this pandemic era. This study will examine the analysis of learning management with Eleaning at Duta Bangsa University Surakarta with the Technology Acceptance Model (TAM) approach during the Covid-19 pandemic. This study uses a descriptive research approach with research respondents consisting of 25 lecturers and 48 students. Research data collection was carried out using an online questionnaire. The questionnaire consists of 16 questions which are the elaboration of 8 items of user satisfaction parameters in the use of the Elearning System. The eight items are Content, Format, Accuracy, Timeliness, Ease of Use, User Attitudes Towards Systems, Organizational Support and Perceived Attitude of Top Management. The results of testing and data processing, both data from lecturers and students, are normally distributed, with the Kolmogorov-Smirnov test. The results of testing the data related to the 16 questionnaire questions also show that the data is valid and reliable. User satisfaction with the implementation of learning through the Elearning System during the Covid-19 pandemic is quite high, above 75% strongly agree, even from 8 items, 7 items on average are above 80% strongly agree. From the results of data processing per item, an average of 4.15 was obtained for lecturer respondents, which means that acceptance strongly agrees with the E-learning system around 83.0%. For student respondents the average is 4.11, which means that the acceptance of the E-learning system is 82.2%. Content occupies the highest satisfaction score of 89.2% for lecturers and 86.2% for students. While the lowest level of satisfaction is organizational support, the satisfaction rate for lecturers is 76.4% and students are 77.8%.

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