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

Author(s):  
Cristina Hava Muntean ◽  
Gabriel-Miro Muntean

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.

Author(s):  
Cristina Hava Muntean ◽  
Gabriel-Miro Muntean

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.


ARIKA ◽  
2020 ◽  
Vol 14 (2) ◽  
pp. 75-82
Author(s):  
Eneng Fitri Handayani ◽  
Mariati Tirta Wiyata

The research aims to obtain an overview of the (1) The quality of e-learning systems, (2) The quality of e-learning information, (3) The quality of e-learning services, and (4) e-Learning user satisfaction in the online learning process at the Institut Manajemen Wiyata Indonesia. This research uses the descriptive method of weighted average evaluative. Data collection is implemented by spreading the questionnaire. The results showed: (1) The quality of E-learning systems in the online learning process is categorized (well), (2) The quality of E-learning information on the online learning process is categorized (well), (3) The quality of E-learning services on the category of online learning is not good, (4) The satisfaction of E-learning users in the online learning process is categorized well.


Author(s):  
Khalid Hamed Allehaibi ◽  
Nasser Nammas Albaqami

Defining, measuring, and achieving quality of e-learning systems are not an easy task. Accordingly, one of the most essential goals for the higher educational institutes is how to reach a high and satisfied level of quality in their learning systems. Achieving such level needs adequate and continuous improvements for the whole e-learning environment elements. Therefore, we aim in our work to construct a unified framework for total quality management system (TQMS) that attempt to satisfy the quality requirements, needs, and standards. The objective of this paper is to present a quality control model for e-learning system that adopts the e-learning platform according to the on-line determination of both user's requirements and global standards. This paper proposed software architecture of quality Management framework for e-learning that could be adopted by different higher education institutes to control the quality of the e-learning process, and assure the quality of the e-learning process outcome. The proposed framework is based on a tri-dimensions quality model. The three dimensions are set of quality requirements for e-learning environment represented in Quality Assurance (QA) policies that will be formalized by using policy based approach, the specifications of e-learning platform that provide learning and teaching activities, and quality control process loop. The architecture for monitor and ensure quality control of the QA policies for e-learning system will deliver the whole learning services in an optimal way. It is also flexible and can be implemented over any e-learning system.


2021 ◽  
Vol 3 (1) ◽  
pp. 01-06
Author(s):  
Khusnia Nur Rachmah ◽  
Ahmad Nashirul Haq ◽  
Nur Hasan Assobarry ◽  
Fariza Nanda Sabila ◽  
Tri Lathif Mardi Suryanto

The development of information technology that continues to grow in all aspects of life which makes human work more efficient and effective. The current COVID-19 pandemic is one of the conditions in which people's activities are hindered and limited in their daily activities. The application of Information Technology is a solution that can be applied for the sustainability of community activities in the midst of this pandemic, one of which is the education sector. Edmodo's E-Learning system is one of the most widely used e-learning systems for the teaching and learning process. The application of e-learning certainly changes the way students learn from offline to online. EUCS (end-user computing satisfaction) is one of the methods used to analyze user satisfaction of an information system, where this method has 5 variables, namely content, accuracy, format, ease of use, and timeliness. The case study of Senior High School 1 Sampang will be the object of this research, where the EUCS method is used to measure the satisfaction of end users of the Edmodo E-Learning system. Data was collected by distributing questionnaires to active students at Senior High School 1 Sampang by obtaining a sample of 80 respondents. From the results of the research conducted, it was found that the EUCS method can be applied to the Edmodo E-Learning system at Senior High School 1 Sampang because the data obtained from the respondents was declared valid and reliable so that it can be relied upon in measuring end user satisfaction with the Edmodo E-learning system, while the factors - the factors of the EUCS method that affect the satisfaction of the end user of the Edmodo E-Learning system at Srnior High School 1 Sampang are the content and accuracy factors.


2018 ◽  
Vol 3 (3) ◽  
pp. 85
Author(s):  
Fahrobby Adnan ◽  
Muhammad Huda Muttaqin ◽  
Tio Dharmawan

Aspects of usability or usability in the user's point of view when using and utilizing a product. The use of an inappropriate method in developing the design will increase the number of requests to improve the product after it is finished. Inappropriate method of selecting methods for design development Usually occurs in applications based on Graphical User Interface (GUI), e-commerce websites, cellular services, and also technology in the field of education called e-learning. E-learning is one technology that develops a distance learning system that provides a variety of solutions where the Internet is the medium. Supported by the development of technology supported by smartphones can also be used for the learning process. With the existence of smartphones, students will more easily access learning materials, and teachers will also be easier to share the material to be received. To support the effort to obtain the level of user satisfaction without leaving the specific purpose of making the application itself a user centered design (UCD) method can be applied. UCD is a method that helps users. With the application of this method users will be satisfied and comfortable when using with the system. Based on the concepts of the UCD method and the problems that occur in e-learning especially the University of Jember E-Learning application, it can be seen that the UCD method is suitable to be applied in the development of mobile-based Universitas Jember e-learning applications with the aim of making it easier students and lecturers in the learning process at the University of Jember. This research was conducted in 3 stages, namely data collection, analysis, and system development. The data collection phase consists of literature studies, and questionnaires. The analysis phase is done by processing the data from the questionnaire and conducting usability testing. The development phase is done by building a mobile-based e-learning application. The results of this study are the University of Jember M-Learning application.


2012 ◽  
Vol 6 (1) ◽  
pp. 80
Author(s):  
Heru Suhartanto

Di beberapa negara yang infrastruktur internet telah memadai, banyak sekolah yang telah memanfaatkannya sebagai salah satu faktor pendukung kesuksesan proses pembelajaran. Pemerintah Indonesia pun telah memulai teknologi ini guna memperluas akses sumber daya pembelajaran sehingga tak terbatas oleh waktu dan ruang. Makalah ini melaporkan hasil survei yang menggambarkan seberapa jauh sistem e-learning telah dipakai di sekolah Indonesia. Data hasil survei menunjukkan bahwa kualitas pemanfaatan situs e-learning masih kurang dan perlu mendapat perhatian dan dukungan dari semua pihak terkait. In some countries that have adequate internet infrastructure, many schools are already using it as one of the factors supporting the success of the learning process. The Indonesian government also has initiated this technology to expand the access to learning resources that is unlimited by time and space. This paper reports the results of the survey that describe the extent to which e-learning system has been used in Indonesian schools. Survey data indicate that the quality of utilization of e-learning is still lacking and need attention and support from all parties concerned.


2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Feiyue Qiu ◽  
Guodao Zhang ◽  
Xin Sheng ◽  
Lei Jiang ◽  
Lijia Zhu ◽  
...  

AbstractE-learning is achieved by the deep integration of modern education and information technology, and plays an important role in promoting educational equity. With the continuous expansion of user groups and application areas, it has become increasingly important to effectively ensure the quality of e-learning. Currently, one of the methods to ensure the quality of e-learning is to use mutually independent e-learning behaviour data to build a learning performance predictor to achieve real-time supervision and feedback during the learning process. However, this method ignores the inherent correlation between e-learning behaviours. Therefore, we propose the behaviour classification-based e-learning performance (BCEP) prediction framework, which selects the features of e-learning behaviours, uses feature fusion with behaviour data according to the behaviour classification model to obtain the category feature values of each type of behaviour, and finally builds a learning performance predictor based on machine learning. In addition, because existing e-learning behaviour classification methods do not fully consider the process of learning, we also propose an online behaviour classification model based on the e-learning process called the process-behaviour classification (PBC) model. Experimental results with the Open University Learning Analytics Dataset (OULAD) show that the learning performance predictor based on the BCEP prediction framework has a good prediction effect, and the performance of the PBC model in learning performance prediction is better than traditional classification methods. We construct an e-learning performance predictor from a new perspective and provide a new solution for the quantitative evaluation of e-learning classification methods.


2018 ◽  
pp. 144-155
Author(s):  
Hafidi Mohamed ◽  
Mahnane Lamia

Learners usually meet cognitive overload and disorientation problems when using e-learning system. At present, most of the studies in e-learning either concentrate on the technological aspect or focus on adapting learner's interests or browsing behaviors, while, learner's skill level and learners' success rate is usually neglected. In this paper, the authors propose an online course generation based not only on the difficulty level of a learning unit, but also the changing learning performance of the individual learner during the learning process. Therefore, considering learner's skill level and learners' success rate can promote personalized learning performance. Learners' skill level is obtained from pre-test result analysis, while learners' success rate is acquired through specific tests after completing a learning unit. After computing success rate of a learning unit, the system then modifies the difficulty level of the corresponding learning unit to update courseware material sequencing. Experiment results indicate that applying the proposed intelligent e-learning system can generate high quality learning paths, and help learners to learn more effectively.


Author(s):  
Nariza Wanti Wulan Sari ◽  
Wahyu Yanuartha ◽  
Muhammad Yani ◽  
Sulfikar Rakita Dewa

During the Covid pandemic the learning process was carried out using e-learning media. SMK TI Airlangga Samarinda is one of the schools that has used e-learning in its learning process both before the Covid pandemic. Furthermore, an evaluation of the success of e-learning implementation will be carried out using the DeLone and McLean information system success model (D&M IS Success Model). In this model, there are six measurement variables, namely system quality, information quality, service quality, usage, user satisfaction, and net benefits. The purpose of this study is to provide an overview of the use of e-learning at SMK TI Airlangga Samarinda to the school and to find out the factors that influence the successful implementation of e-learning at SMK TI Airlangga Samarinda. To achieve this goal, SEM-PLS analysis (structural equation model - partial least square) is used. The subjects used were 336 students of SMK TI Airlangga Samarinda. The sampling technique used in this study was purposive sampling, with consideration of the availability of data obtained a sample of 192. Data collection techniques in this study using questionnaires, interviews, and literature study. The results of this study indicate that the quality of information and system quality in e-learning has a positive effect on the satisfaction of using e-learning which in turn has an effect on the benefits felt by students while using e-learning. In addition, the quality of the e-learning system also has a positive effect on the intensity of e-learning use, which means that the better the quality of the system will increase the intensity of e-learning use.


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