scholarly journals Authentication in E-learning systems: Challenges and Solutions

Author(s):  
Luu Quang Huan ◽  
Duy-Minh Nguyen ◽  
Hoang-Anh Pham ◽  
Nguyen Huynh-Tuong

Digitization is gradually penetrating all aspects of modern society. As it changes the way people communicate, technology has revolutionized education and training in the 21st century. With the advantages of reasonable costs and flexible study time, online training is increasingly seen as an attractive alternative to the full-time on-campus training model. To assure quality of distance training and learning, it is crucial for the online learning management system to make sure the person accessing the course resources and performing learning activities is actually enrolled in the course. One of the important factors determining the security of this process is user authentication. In most cases, this role is done with a password, but the evidence shows that this method is easily compromised. While there are many alternatives available such as biometric methods, user-challenging methods, smart card methods, etc. The strong development of technology that requires confidentiality and authentication must be tightly coupled. A qualitative survey of user authentication systems is being used in today's E-learning systems and a comparative study of various different authentication mechanisms presented in this paper. There are many methods of user authentication for online learning systems, but each method will have different advantages and disadvantages and has not completely solved the challenges of user authentication. The issue of user authentication still has many challenges that need to be solved thoroughly to improve the security of the system as well as the trust of users and society. This paper provides an overview of our approach and recommendations to address the mentioned issues. In addition, we propose a number of feasible approaches to improve user data privacy as well as improve the effectiveness of the authentication process in the online learning system.

2021 ◽  
Vol 14 (3) ◽  
pp. 49
Author(s):  
Ahmad Abu-Al-Aish

During the Coronavirus Disease 2019 (COVID-19) pandemic and the national lockdowns implemented in countries around the world, many universities worldwide made the transition from face-to-face delivery to online learning using e-learning systems. However, the successful transition from traditional class-based learning to online learning depends greatly on understanding the challenges related to the implementation and use of e-learning systems, as well as the technical and management factors that need to be enhanced. This study aimed to investigate the challenges related to the use of e-learning systems in Jordanian universities and to explore the technical and management aspects that impacted the successful implementation and use of e-learning systems during COVID-19. To achieve the study objectives, a questionnaire was developed by the researcher and distributed online to lecturers working at Jordanian universities. A total of 184 lecturers participated in the study. Based on the findings, the study provides recommendations which will help higher education policy makers, university management teams, and software developers build strategies to ensure the successful implementation and use of e-learning systems during the COVID-19 pandemic.


2021 ◽  
Vol 2 (4) ◽  
pp. 248-262
Author(s):  
Sisca Monita ◽  
Ilman Zuhri Yadi

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.


2016 ◽  
Vol 50 (2) ◽  
pp. 215-224 ◽  
Author(s):  
GopalaKrishnan T ◽  
P Sengottuvelan

Purpose – The ultimate objective of the any e-Learning system is to meet the specific need of the online learners and provide them with various features to have efficacious learning experiences by understanding their complexities. Any e-Learning system could be much more improved by tracking students commitment and disengagement on that course, in turn, would allow system to have personalized involvements at appropriate times in order to re-engage learners. Motivations play a important role to get back the learners on the track could be done by analyzing of several attributes of the log files. This paper aims to analyze the multiple attributes which cause the learners to disengage from an online learning environment. Design/methodology/approach – For this improvisation, Web based learning system is researched using data mining techniques in education. There are various attributes characterized for the disengagement prediction using web log file analysis. Though, there have been several attempts to include motivating characteristics in e-Learning systems are adapted, presently influence on cognition is acknowledged mostly. Findings – Classification is one of the predictive data mining technique which makes prediction about values of data using known results found from different data sets. To find out the optimal solution for identifying disengaged learners in the online learning systems, Naive Bayesian (NB) classifier with Particle Swarm Optimization (PSO) algorithm is used which will classify the data set and then perform the independent analysis. Originality/value – The experimental results shows that the use of unrelated variables in the class attributes will reduce the accuracy and reliability of a any classification model. However, the hybrid PSO algorithm is clearly more apt to find minor subsets of attributes than the PSO with NB classifier. The NB classifier combined with hybrid PSO feature selection method proves to be the best feature selection capability without degrading the classification accuracy. It is further proved to be an effective method for mining large structural data in much less computation time.


Author(s):  
T. A. Chernetskaya ◽  
N. A. Lebedeva

The article presents the experience of mass organization of distance learning in organizations of secondary general and vocational education in March—May 2020 in connection with the difficult epidemiological situation in Russia. The possibilities of the 1C:Education system for organizing the educational process in a distance format, the peculiarities of organizing distance interaction in schools and colleges are considered, the results of using the system are summarized, examples of the successful use of the system in specific educational organizations are given. Based on the questionnaire survey of users, a number of capabilities of the 1C:Education system have been identified, which are essential for the full-fledged transfer of the educational process from full-time to distance learning. The nature and frequency of the use of electronic educational resources in various general education subjects in schools and colleges are analyzed, the importance of the presence in the distance learning system not only of a digital library of ready-made educational materials, but also of tools for creating author’s content is assessed. On the basis of an impersonal analysis of user actions in the system, a number of problems were identified that teachers and students faced in the process of an emergency transition to distance learning.


Author(s):  
Rostislav Fojtík

Abstract Distance learning and e-learning have significantly developed in recent years. It is also due to changing educational requirements, especially for adults. The article aims to show the advantages and disadvantages of distance learning. Examples of the 20-year use of the distance learning form of computer science describe the difficulties associated with the implementation and implementation of this form of teaching. The results of students in the full-time and distance form of teaching in the bachelor’s study of computer science are compared. Long-term findings show that distant students have significantly lower scores in the first years of study than full-time bachelor students. In the following years of study, the differences diminish, and students’ results are comparable. The article describes the possibilities of improving the quality of distance learning.


2021 ◽  
Vol 9 (2) ◽  
pp. 167-173
Author(s):  
Shagufta Shaheen ◽  
Mubasher Muhammad Kamran ◽  
Saira Naeem ◽  
Tahir Mahmood

The study's primary purpose is to explore the factors affecting the students' intention to use e-learning systems in the COVID pandemic. The model of the “Unified theory of acceptance and use of technology” (UTAUT) was used as a theoretical underpinning. The Independent variables include “performance expectancy, effort expectancy, social influence, facilitating condition,” and the dependent variable is the intention to use e-learning systems. The quantitative data were collected from the postgraduate and undergraduate students of the public universities of Lahore. A total of n=411 students were approached, out of which the responses of only 399 were considered valid and were used for Multiple linear regression through SPSS 25. It was a cross-sectional study. It was found that almost all constructs of the model have a significant positive impact on intention to use e-learning systems.  The study's main contribution is exposing the factors that affect the acceptance and use of e-learning systems. This study has several policy implications for policy experts of higher education”.


2020 ◽  
Vol 9 (1) ◽  
pp. 78-85
Author(s):  
Pham Thi Thu Hoa

Information technology has created tremendous chances in higher education across the globe. With the availability and flexibility of learning online, there are increasing competitions between online learning and traditional, face-to-face classroom. These two types of learning both have their pros and cons. From the advantages and disadvantages of online learning, universities have recently changed the way of their teaching through combining online learning and traditional classroom. Therefore, it is necessary to investigate and understand the advancements of the combination of the two types of learning. In this paper, we will introduce the advantages and disadvantages of online learning and the combined learning. We also share our experience on teaching at Flinders University, South Australia through Flinders learning online system. From this knowledge, we will suggest some solutions about building a combined learning system which is suitable for Vietnamese universities.


2020 ◽  
Vol 3 (8) ◽  
pp. 45-53
Author(s):  
Mārtiņš Spridzāns ◽  
Jans Pavlovičs ◽  
Diāna Soboļeva

Efficient use of educational technology and digital learning possibilities has always been the strategic area of high importance in border guards training at the State Border Guard College of Latvia. Recently, issues related to training during the Covid-19, have spurred and revived the discussion, topicality and practical need to use the potential of e-learning opportunities which brought up unexpected, additional, previously unsolved, unexplored, challenges and tasks to border guards training. New opportunities and challenges for trainers, learners and administration of training process both in online communication and learning administration contexts. In order to find out and define further e-learning development possibilities at the State Border Guard College the authors of this research explore the scientific literature on the current research findings, methodologies, approaches on developing interactive e-learning systems in educational contexts, particularly within the sphere of law enforcement. Based on scientific literature research findings authors put forward suggestions on improving the e-learning systems for border guards training.


Author(s):  
Yuliana Prativi ◽  
Muhammad Zaenuri

Online learning is a learning via internet without meeting face-to-face between teachers and students. This online learning system is relatively new, therefore teachers and students should adapt quickly. This study aims to determine the online Arabic learning system during the COVID-19 pandemic at Madrasah Tsanawiyah Negeri (MTsN) 1 Surakarta. Researcher used a qualitative approach and observation, interview, and documentation as data collection techniques. The results described that e-learning madrasah was used as the main media for online Arabic learning at MTsN 1 Surakarta during the covid-19 pandemic, then assisted by Whatsapp and Youtube channel. The subject matter was presented in video, powerpoint, and pdf. The learning stages were divided into three: preparation, implementation (pre-activities, whilst-activities and post-activities), and evaluation stage. This online learning helps teachers to coordinate with and supervise students easily, on the other hand, it is difficult for them to monitor the students’ understanding and bad internet network make some students could not follow the learning process in time. 


2005 ◽  
Vol 2 (2) ◽  
pp. 99-114 ◽  
Author(s):  
Thierry Nabeth ◽  
Liana Razmerita ◽  
Albert Angehrn ◽  
Claudia Roda

This paper presents a cognitive multi-agents architecture called Intelligent Cognitive Agents (InCA) that was elaborated for the design of Intelligent Adaptive Learning Systems. The InCA architecture relies on a personal agent that is aware of the user's characteristics, and that coordinates the intervention of a set of expert cognitive agents (such as story telling agents, assessment agents, stimulation agents or help agents). This InCA architecture has been applied for the design of K"InCA, an e-learning system aimed at helping people to learn and adopt knowledge-sharing management practices.


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