scholarly journals DEVELOPMENT OF A MEASUREMENT TOOL TO EVALUATE THE LEARNING EXPERIENCE IN AN E-LEARNING SYSTEM

2020 ◽  
Keyword(s):  
Learning Experience ◽  
Learning System ◽  
Measurement Tool ◽  
E Learning

E-learning experience in schools and colleges with 1C:Education platform

2020 ◽  
pp. 17-24
Author(s):  
T. A. Chernetskaya ◽  
N. A. Lebedeva
Keyword(s):  
Distance Learning ◽  
General Education ◽  
Learning Experience ◽  
Educational Process ◽  
Learning System ◽  
Full Time ◽  
Distance Learning System ◽  
Teachers And Students ◽  
E Learning ◽  
Mass Organization

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.

Student Learning in an Online Environment

2011 ◽  
pp. 224-234
Author(s):  
Rodney Arambewela
Keyword(s):  
Deep Learning ◽  
Student Learning ◽  
Learning Experience ◽  
Learning System ◽  
Learning Approaches ◽  
Learning Contexts ◽  
Technology In Teaching ◽  
E Learning ◽  
Learning Orientations ◽  
Surface Learning

The increasing class sizes, changing expectations, diversity and mobility of students and the use of computer technology in teaching have challenged universities, world over, to review educational courses and delivery to provide a more satisfying learning experience to students. Understanding how students learn is essential in this process and continuous enquiry into teaching practices for their effectiveness towards enhancement of student learning outcomes is therefore considered a vital strategy. This chapter discusses an exploratory study on the differences in the learning approaches of a group of students in a second year marketing course in an Australian university. E-learning system remains the primary communication and the learning resource of these students. Results indicate that there are no significant differences in the study approaches of students but on average they seem to demonstrate deep learning than surface learning although they may differ in terms of the learning contexts. The study also reveals that in comparison female students and older aged students seem to demonstrate deep learning orientations than surface learning orientations.

Technological Approaches for E-Content Development and Deployment

2020 ◽  
Vol 16 (3) ◽  
pp. 92-112
Author(s):  
Rakshak Jain ◽  
Akhilesh K. Singh
Keyword(s):  
Web Application ◽  
Qualitative Method ◽  
Learning Experience ◽  
Appropriate Technology ◽  
Learning System ◽  
Application Framework ◽  
Content Creation ◽  
Server Side ◽  
Content Development ◽  
E Learning

Success of any web product and application relies upon how thoughtfully and wisely technology has been implemented for developing and deploying that product – be it e-commerce product or e-learning product. Alongside pedagogy, application of appropriate technology is the important determinant for an effective and engrossing learning experience of any e-content or e-learning system. To understand the proper utilization of IT strategies for e-content development, the qualitative method of research has been used in this study by which content analysis has been done on the interviewed data, gathered from the IT professionals, with the help of Atlas.Ti software. The findings of this study suggest how web technology can be deployed for e-content in the five identified stages, namely – programming language, web application framework, presentation/design, content creation and server-side technology including cloud storage. For this, a comprehensive technical guideline along framework for e-content development and deployment has been formulated.

scholarly journals Design of an Adaptive e-Learning System based on Multi-Agent Approach and Reinforcement Learning

2021 ◽  
Vol 11 (1) ◽  
pp. 6637-6644
Author(s):  
H. El Fazazi ◽  
M. Elgarej ◽  
M. Qbadou ◽  
K. Mansouri
Keyword(s):  
Reinforcement Learning ◽  
Learning Style ◽  
Learning Process ◽  
Learning Experience ◽  
Personalized Learning ◽  
Learning Objects ◽  
Learning Systems ◽  
Learning System ◽  
E Learning ◽  
Multi Agent

Adaptive e-learning systems are created to facilitate the learning process. These systems are able to suggest the student the most suitable pedagogical strategy and to extract the information and characteristics of the learners. A multi-agent system is a collection of organized and independent agents that communicate with each other to resolve a problem or complete a well-defined objective. These agents are always in communication and they can be homogeneous or heterogeneous and may or may not have common objectives. The application of the multi-agent approach in adaptive e-learning systems can enhance the learning process quality by customizing the contents to students’ needs. The agents in these systems collaborate to provide a personalized learning experience. In this paper, a design of an adaptative e-learning system based on a multi-agent approach and reinforcement learning is presented. The main objective of this system is the recommendation to the students of a learning path that meets their characteristics and preferences using the Q-learning algorithm. The proposed system is focused on three principal characteristics, the learning style according to the Felder-Silverman learning style model, the knowledge level, and the student's possible disabilities. Three types of disabilities were taken into account, namely hearing impairments, visual impairments, and dyslexia. The system will be able to provide the students with a sequence of learning objects that matches their profiles for a personalized learning experience.

scholarly journals EFL Students Affective Attitudes towards Distance E-Learning Based on Moodle Platform during the Covid-19the Pandemic: Perspectives from Dr. MoulayTahar University of Saida, Algeria

2021 ◽  
Author(s):  
Djamel BENADLA ◽  
Mohamed Hadji
Keyword(s):  
Online Learning ◽  
Learning Experience ◽  
Social Situation ◽  
Learning System ◽  
Negative Attitudes ◽  
Affective Attitudes ◽  
Teachers And Students ◽  
E Learning ◽  
Efl Students ◽  
The University

The practice of the online learning system in Algeria is novel. However, with the spread of Covid 19, Algerian universities have been compelled to undertake remote and digital teaching. The University of Dr. MoulayTahar in Saida has arbitrarily hastened in implementing E-learning as an alternative teaching measure to maintain both positive educational outcomes and keep students safe and healthy. This research purports to examine how the University of Dr. MoulayTahar in Saida has used Moodle platform to facilitate the teaching process during the Covid 19. This paper, therefore, stresses the issues of distance e-learning that challenge both teachers and students alike. The researchers attempt to answer the following question: What are the affective attitudes of EFL students towards distance learning assisted with Moodle Platform during the Coronavirus? To supply an adequate answer to the raised question, the researchers have selected a sample of 157 participants. The researchers collected data through a questionnaire and delivered copies to the participants. The findings revealed that both the teachers and the learners were not well prepared for an online learning experience. That there are more disadvantages than advantages. The results of the research conveyed that the technical skills, the teachers’ lack of experience as well as the social situation of the students have made E. learning a complex process. The analysis also revealed that Master students have negative attitudes towards e-learning, and they would prefer face-to-face interaction in the classroom and handouts more than virtual learning.

An Australian University Implementing E-Learning System

2012 ◽  
Vol 3 (2) ◽  
pp. 18-26 ◽  
Author(s):  
Kamaljeet Sandhu
Keyword(s):  
Learning Process ◽  
Learning Experience ◽  
Prior Experience ◽  
Learning System ◽  
Task Environment ◽  
Web Based ◽  
Web Based Learning ◽  
E Learning ◽  
Learner Perception ◽  
User Learning

User learning experience may be considered as one of the prominent factors shaping the adoption of web-based systems. Web-based learners interfacing with large amounts of information the rationale is to deduce the effect in the current web-based task environment. Understanding Web-based learner perception on the basis of the prior experience with information may provide insights into what constitutes in driving those perceptions and their effect in the current and future web-based learning process. The paper demonstrates theoretical context of user learning experience with information and proceeds in an attempt to distinguish factors in using web-based systems.

Adaptation algorithms for selecting personalised learning experience based on learning style and dyslexia type

2019 ◽  
Vol 53 (2) ◽  
pp. 189-200 ◽  
Author(s):  
Aisha Yaquob Alsobhi ◽  
Khaled Hamed Alyoubi
Keyword(s):  
Learning Styles ◽  
Learning Style ◽  
Learning Experience ◽  
Assistive Technologies ◽  
Learning Systems ◽  
Learning System ◽  
Fixed Cost ◽  
Learning Material ◽  
Content Type ◽  
E Learning

PurposeThrough harnessing the benefits of the internet, e-learning systems provide flexible learning opportunities that can be delivered at a fixed cost at a time and place to suit the user. As such, e-learning systems can allow students to learn at their own pace while also being suitable for both distance and classroom-based learning activities. Adaptive educational hypermedia systems are e-learning systems that employ artificial intelligence. They deliver personalised online learning interventions that extend electronic learning experiences beyond a mere computerised book through the use of intelligence that adapts the content presented to a user according to a range of factors including individual needs, learning styles and existing knowledge. The purpose of this paper is to describe a novel adaptive e-learning system called dyslexia adaptive e-learning management system (DAELMS). For the purpose of this paper, the term DAELMS will be employed to describe the overall e-learning system that incorporates the required functionality to adapt to students’ learning styles and dyslexia type.Design/methodology/approachThe DAELMS is a complex system that will require a significant amount of time and expertise in knowledge engineering and formatting (i.e. dyslexia type, learning styles, domain knowledge) to develop. One of the most effective methods of approaching this complex task is to formalise the development of a DAELMS that can be applied to different learning styles models and education domains. Four distinct phases of development are proposed for creating the DAELMS. In this paper, we will discuss Phase 3 which is the implementation and some adaption algorithms while in future papers will discuss the other phases.FindingsAn experimental study was conducted to validate the proposed generic methodology and the architecture of the DAELMS. The system has been evaluated by group of university students studying a Computer Science related majors. The evaluation results proves that when the system provide the user with learning materials matches their learning style or dyslexia type it enhances their learning outcomes.Originality/valueThe DAELMS correlates each given dyslexia type with its associated preferred learning style and subsequently adapts the learning material presented to the student. The DAELMS represents an adaptive e-learning system that incorporates several personalisation options including navigation, structure of curriculum, presentation, guidance and assistive technologies that are designed to ensure the learning experience is directly aligned with the user's dyslexia type and associated preferred learning style.

A Novel AR-Based Interactive E-Learning Platform

2011 ◽  
Vol 403-408 ◽  
pp. 1244-1248
Author(s):  
Rong Chi Chang
Keyword(s):  
Life Cycle ◽  
Augmented Reality ◽  
Learning Experience ◽  
Learning System ◽  
Ecological Interactions ◽  
Learning Models ◽  
3D Objects ◽  
Learning Platform ◽  
E Learning ◽  
Virtual Setting

This present study combines augmented reality and interactive multimedia for the construction of a learning system that offers educational knowledge on butterfly metamorphosis, as we call it ARButterfly. The main purpose of designing this learning platform is to apply AR technology to produce innovative interactive learning models that are both fun and educational, creating an enriched learning experience through multimedia. With this platform, learners control the AR markers and are presented with life-like 3D objects to learn about the life cycle of butterflies. In addition, learners are given the opportunity to further observe the ecological interactions between butterflies and flowers or plants in this virtual setting. Our findings show the platform is capable of boosting students’ learning interests and improving their learning effectiveness.

scholarly journals EFL Students Affective Attitudes towards Distance E-Learning Based on Moodle Platform during the Covid-19the Pandemic: Perspectives from Dr. MoulayTahar University of Saida, Algeria

2021 ◽  
pp. 55-67
Author(s):  
Djamel BENADLA ◽  
Mohamed HADJI
Keyword(s):  
Online Learning ◽  
Learning Experience ◽  
Social Situation ◽  
Learning System ◽  
Negative Attitudes ◽  
Affective Attitudes ◽  
Teachers And Students ◽  
E Learning ◽  
Efl Students ◽  
The University

The practice of the online learning system in Algeria is novel. However, with the spread of Covid 19, Algerian universities have been compelled to undertake remote and digital teaching. The University of Dr. MoulayTahar in Saida has arbitrarily hastened in implementing E-learning as an alternative teaching measure to maintain both positive educational outcomes and keep students safe and healthy. This research purports to examine how the University of Dr. MoulayTahar in Saida has used Moodle platform to facilitate the teaching process during the Covid 19. This paper, therefore, stresses the issues of distance e-learning that challenge both teachers and students alike. The researchers attempt to answer the following question: What are the affective attitudes of EFL students towards distance learning assisted with Moodle Platform during the Coronavirus? To supply an adequate answer to the raised question, the researchers have selected a sample of 157 participants. The researchers collected data through a questionnaire and delivered copies to the participants. The findings revealed that both the teachers and the learners were not well prepared for an online learning experience. That there are more disadvantages than advantages. The results of the research conveyed that the technical skills, the teachers’ lack of experience as well as the social situation of the students have made E. learning a complex process. The analysis also revealed that Master students have negative attitudes towards e-learning, and they would prefer face-to-face interaction in the classroom and handouts more than virtual learning.

A Study on E-learning and Recommendation System

2020 ◽  
Vol 13 ◽  
Author(s):  
Madhavi Alli ◽  
A Nagesh ◽  
A Govardhan
Keyword(s):  
Education System ◽  
Mass Communication ◽  
Recommendation System ◽  
Learning Experience ◽  
Research Work ◽  
Information Access ◽  
Learning System ◽  
Future Research ◽  
Vital Functions ◽  
E Learning

Introduction: Today’s technology and the internet are proliferating due to which information access is becoming easier for many people, and creating new challenges and opportunities in all fields, especially when working with education. For example, the e-learning education system can personalized in order to acquire knowledge level and learner’s requirements in a learning process. The learning experience, as per the individual learner’s goals, should be adopted. Background: In the current educational environment, e-learning is playing a significant role. For many researchers, it has become one of the most important subjects, as using e-learning whole education system would revolutionize. There are many areas of e-learning in which research work is going on, such as Mass Communication, Information and Technology (IT), Education and Distance Education. Objective: To meet the various needs of the learners such as talents, interests, goals and needs, an e-learning system has to design a personalized learning system by considering various educational experiences. Many methods such as ontologies, clustering, classification and association rules have used along with filtering techniques to enhance the personalization and performance of the learner. Methods: This paper presents a detailed review of literature of previous work that has done in e-learning area especially on recommendation system. Current research works on e-learning to discover the research developments in this discipline have discussed in this work. Conclusion: One of the vital functions of the current e-learning system is creating a personalized resource recommendation system. In this paper, we reviewed some crucial papers on both e-learning and recommendation systems. Future research work of this paper would be designing efficient and precise e-learning and recommendation system to deal with the problem of substantial personalized information resources and further e-Learning plays vital role in preventing virus spread during COVID-19 pandemic.

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