Research on the Individual Learning Process Model of the E-Learning System Based on Social Tags

2013 ◽  
Vol 760-762 ◽  
pp. 2056-2059
Author(s):  
Yuan Zhang ◽  
Xia Feng
Keyword(s):  
Learning Process ◽  
Process Model ◽  
Individual Learning ◽  
Learning System ◽  
New Paradigm ◽  
Social Tags ◽  
The Social ◽  
New Learning ◽  
E Learning ◽  
The Individual

In this paper, we believed that social tag is a new paradigm of resource organizing and sharing. It is a very suitable technology using in e-learning systems. We discussed with the learning process in the e-learning system based on social tags. We brought forward a new individual learning process model based on social tags. And we compared with the new learning process model and traditional process model. The new individual learning process model could improve the interaction between learners and between human and computers. The social tags could help the e-learning system build the learners preference model and knowledge model.

scholarly journals Development of E-Learning in a Modern Technical University

2021 ◽  
Author(s):  
Sergey Kulik ◽  
◽  
Ivan Aladyshkin ◽  
Svetlana Kalmykova ◽  
Maria Odinokaya ◽  
...  
Keyword(s):  
Professional Training ◽  
Systematic Approach ◽  
Educational Process ◽  
Learning System ◽  
Educational Institutions ◽  
Learning Models ◽  
New Learning ◽  
E Learning ◽  
Coronavirus Infection ◽  
Engineering Personnel

The article is devoted to the increasing role and prospects for the development of e-learning in modern transformation of higher polytechnic education. In the context of preventing the spread of coronavirus infection COVID-19 and the transition of universities to various forms of distance education, this issue is of particular relevance. The aim of the study is to assess the process of introducing e-learning into the educational process of higher technical educational institutions in Russia. The methodological basis of the work was the analytical and systematic approach to the study of the object of research using methods of data systematization, evaluative analysis and forecasting, as well as logical generalization. The authors come to the conclusion that the introduction of e-learning in technical universities in Russia until recently played a supporting role in the reorganization and optimization of the processes of training engineering personnel. The development of e-learning helped to reduce the costs of the educational process, reduce the number of employees, as well as solve the problem of the classroom fund. An important role in the development of e-learning was played by the desire to increase the rating indicators. The desire to expand non-budgetary sources of funding for modern technical universities and the possibility of implementing new learning models were only additional incentives for expanding the e-learning system. The results of this study can be used in further studying the digitalization of higher education and assessing the prospects for the development of professional training in Russia.

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.

scholarly journals Design of Self-practice Listening and Supplementary Vocabulary Exercises for a TOEFL-ITP Preparation Course in Vietnam

2017 ◽  
Vol 5 (2) ◽  
pp. 102
Author(s):  
Duy Ngoc Pham ◽  
Thu Thi Xuan Nguyen
Keyword(s):  
Information And Communication Technology ◽  
Communication Technology ◽  
Learning Process ◽  
Educational Software ◽  
Virtual Learning Environment ◽  
Learning System ◽  
Learning And Teaching ◽  
University Of Technology ◽  
Information And Communication ◽  
E Learning

The amount of information to be accumulated at university has been increasing in recent years, so students nowadays are moving towards using computers in the learning process. Application of Information and Communication Technology (ICT), particularly educational software, to facilitate the learning and teaching process has become a more and more popular trend among teachers. In Thai Nguyen University of Technology (TNUT), Vietnam, a multi-disciplinary virtual learning environment (http://e-learning.tnut.edu.vn) has been established on the MOODLE platform. The aim of this paper is to introduce the design of self-practice listening and vocabulary exercises for the TOEFL-ITP preparation course by integrating the exercises designed with the Hot Potatoes and Quizlet into TNUT’s institutional e-learning system. First, the advantages of the e-learning system are discussed. Second, the tools and materials necessary for the design are described. Finally, a suggestion on integrating the listening and vocabulary exercises designed by the Hot Potatoes software and Quizlet into the available e-learning system is introduced.

Intelligent Adaptable e-Assessment for Inclusive e-Learning

2020 ◽  
pp. 1185-1199
Author(s):  
Lilyana Nacheva-Skopalik ◽  
Steve Green
Keyword(s):  
Human Rights ◽  
Learning Environment ◽  
Open Source ◽  
Learning System ◽  
Access To Education ◽  
Education Systems ◽  
Learning Content ◽  
E Learning ◽  
Individual Needs ◽  
The Individual

Access to education is one of the main human rights. Everyone should have access to education and be capable of benefiting from it. However there are a number who are excluded, not because of a lack of ability but simply because they have a disability or specific need which current education systems do not address. A learning system in which content, tools and interfaces can be personalised and adapted to the individual needs and preferences of a variety of learners, including those with disabilities, becomes inclusive. Assessment is an integral part of an e-learning environment and therefore it has to provide not only inclusive e-learning content but also inclusive e-assessment. The proposed research investigates an intelligent adaptable e-learning system for assessing students' level of skill, knowledge and understanding regardless of their disabilities or accessibility needs. It is based on an innovative use of world's first open source adaptable widget design and authoring toolkit (WIDGaT) as the prototyping environment.

scholarly journals Adaptation algorithms of mathematical educational content in e-learning courses

2018 ◽  
Vol 48 ◽  
pp. 01010 ◽  
Author(s):  
Yulia Vainshteina ◽  
Victoria Shershneva ◽  
Roman Esin ◽  
Gennady Tsibulsky ◽  
Konstantin Safonov
Keyword(s):  
Personal Space ◽  
Individual Characteristics ◽  
Learning System ◽  
Discrete Mathematics ◽  
Educational Content ◽  
Mathematical Content ◽  
Educational Trajectories ◽  
E Learning ◽  
Stage System ◽  
The Individual

This article is devoted to the development of algorithms for the adaptation of mathematical educational content and their implementation in the e-learning system. The adaptation of a mathematical content consists in the selection of an optimal edition of the material that best suits the individual characteristics of the student. The novelty of the work is the organization of the adaptation algorithms of the educational content in a three-level system: "introductory content adaptation" (an adaptation of the content of introductory materials of the discipline based on the initial level of students) - "current adaptation of the content" (an adaptation of the mathematical content based on current effective actions of students in the electronic course) - "appraisal-correcting adaptation" (an adaptation of normative parameters of the level of assimilation of materials, taking into account the results achieved by students). The introduction of the proposed three-stage system makes it possible to implement in individual educational trajectories and to form for each student a personal space of mathematical educational content that adapts to its level of mastering the material, which helps to improve the quality of instruction in mathematical disciplines. An approbation of the proposed algorithms was carried out in the adaptive e-course in discrete mathematics, implemented at Siberian Federal University in Russia.

scholarly journals Perancangan Content Authoring Tool Berbasis Scorm (Sharable Content Object Reference Model) Pada Sistem E-Learning SMK Negeri 1 Batipuh

2021 ◽  
Vol 9 (2) ◽  
pp. 61
Author(s):  
Rizki Pratama ◽  
Hadi Kurnia Saputra
Keyword(s):  
Learning Process ◽  
Reference Model ◽  
Educational Institution ◽  
Learning System ◽  
Learning And Teaching ◽  
Work From Home ◽  
Standard Education ◽  
E Learning ◽  
Content Object ◽  
Object Reference

E-learning merupakan bentuk model pembelajaran yang diakomodasi dan disuport dalam teknologi dalam suatu sistem informasi. Dalam lembaga pendidikan tentu dibutuhkan untuk menolong guru dalam peningkatan efesiensi proses belajar. Oleh karena itu tujuan dari adanya e-learning di SMK Negeri 1 Batipuh selaku lembaga pendidikan di masa pandemi Coronavirus Disease-19 harus diberlakukan pembelajaran jarak jauh atau work from home. Perubahan bentuk pelayanan pendidikan berstandar SCORM (Sharable Content Object Reference Model), dalam permodelan SCORM menggunakan metode waterfall dalam membangun sistim yang baik, dimana tenaga pendidik bisa memberikan pembelajaran kepada peserta didik terhadap aktivitas transfer ilmu khususnya dengan menyajikan video dalam bentuk materi ditambah metode diskusi beserta emoticon agar siswa lebih memahami, menarik dan menjadi giat dalam proses belajar. Setelah melakukan riset di sekolah terkait, maka penulis menyimpulkan bahwa dibutuhkan sebuah sistem e-learning  yang memudahkan proses belajar dan mengajar. Dengan bahasa pemrograman PHP dan framework CodeIgniter maka dirancanglah sebuah sistem e-learning yang mampu menghubungkan siswa dan guru.Kata Kunci : E-Learning, SCORM, Coronavirus Disease-19, Framework CodeIgniter.. E-learning is a form of learning model that is accommodated and supported in technology in an information system. In educational institutions, of course, it is needed to help teachers in increasing the efficiency of the learning process. Therefore, the purpose of e-learning at SMK Negeri 1 Batipuh as an educational institution during the Coronavirus Disease-19 pandemic, distance learning or work from home should be implemented. Changes in the form of SCORM standard education services (Sharable Content Object Reference Model), in SCORM modeling using the waterfall method in building a good system, where educators can provide learning to students about knowledge transfer activities, especially by presenting videos in the form of materials plus discussion methods along with emoticons so that students better understand, be interesting and become active in the learning process. After conducting research in related schools, the authors conclude that an e-learning system is needed that facilitates the learning and teaching process. With the PHP programming language and the CodeIgniter framework, an e-learning system is designed to connect students and teachers.Keywords: E-Learning, SCORM, Coronavirus Disease-19, CodeIgniter Framework.

scholarly journals Multi-Agent Adaptive e-Learning System Based on Learning Styles

2021 ◽  
Vol 4 (1) ◽  
pp. 1-12
Author(s):  
Faith Ngami Kivuva ◽  
Elizaphan Maina ◽  
Rhoda Gitonga
Keyword(s):  
Learning Styles ◽  
Learning Process ◽  
Intelligent Agents ◽  
Personalized Learning ◽  
Learning Systems ◽  
Learning System ◽  
Personalized Recommendation ◽  
Information Agent ◽  
E Learning ◽  
Multi Agent

Most traditional e-learning system fails to provide the intelligence that a learner may require during their learning process. Different learners have different learning styles but the current e-learning systems are not able to provide personalized learning. In this paper, we discuss how intelligent agents can aid learners in their learning process. Three agents have been developed namely, learner agent, information agent, and tutor agents that will be integrated into a learning management system (Moodle). Learners are provided with a personalized recommendation based on the learning styles.

scholarly journals The Social-Emotional Learning Process to Develop Practicing Skills for Hands-on Students

2020 ◽  
Vol 10 (8) ◽  
pp. 597-602
Author(s):  
Kridsanapong Lertbumroongchai ◽  
◽  
Kobkiat Saraubon ◽  
Prachyanun Nilsook
Keyword(s):  
Learning Process ◽  
Process Model ◽  
Mixed Reality ◽  
Social Emotional Learning ◽  
Emotional Learning ◽  
Social Emotional ◽  
Academic Knowledge ◽  
Depth Interview ◽  
The Social ◽  
Hands On

The purpose of this research is to synthesize the social-emotional learning process to develop practicing skills for hands-on students, to develop the process, and to evaluate the process. In this study, the documentary research method and in-depth interview method were employed. The results showed that the synthesis of the social-emotional learning process to develop practicing skills for hands-on students consisted of six steps: 1) perception is divided into sensory perception and explaining perceived, 2) observation is divided into certain goals, discretion, notes, observations, and time limit, 3) analysis and brainstorming is divided into information, brainstorming, and discovering new knowledge, 4) practicing is divided into cognitive phase, associative phase, and autonomous phase, 5) checking and improvement is divided into opinion, learning exchange, and providing opportunities, and 6) action is divided into behavior changing, and application of academic knowledge. Evaluating the social-emotional learning process to develop practicing skills for hands-on students employed in-depth interview technique consisting of 21 experts in three different areas (i.e., in learning and teaching, information technology, and mass communication technology terms). The results of the suitability evaluation revealed that the social-emotional learning process model with mixed reality for the hands-on students was at the highest level.

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 A Cognitive Knowledge-based Framework for Social and Metacognitive Support in Mobile Learning

10.28945/3670 ◽  
2017 ◽  
Vol 12 ◽  
pp. 075-098 ◽  
Author(s):  
Ahmed A. Al-Hunaiyyan ◽  
Andrew T Bimba ◽  
Norisma Idris ◽  
Salah Al-Sharhan
Keyword(s):  
Learning Process ◽  
Social Group ◽  
Real Life ◽  
Learning System ◽  
Pedagogical Practices ◽  
Future Research ◽  
Knowledge Modeling ◽  
Self Assessment ◽  
The Social ◽  
Cognitive Knowledge

Aim/Purpose: This work aims to present a knowledge modeling technique that supports the representation of the student learning process and that is capable of providing a means for self-assessment and evaluating newly acquired knowledge. The objective is to propose a means to address the pedagogical challenges in m-learning by aiding students’ metacognition through a model of a student with the target domain and pedagogy. Background: This research proposes a framework for social and meta-cognitive support to tackle the challenges raised. Two algorithms are introduced: the meta-cognition algorithm for representing the student’s learning process, which is capable of providing a means for self-assessment, and the social group mapping algorithm for classifying students according to social groups. Methodology : Based on the characteristics of knowledge in an m-learning system, the cognitive knowledge base is proposed for knowledge elicitation and representation. The proposed technique allows a proper categorization of students to support collaborative learning in a social platform by utilizing the strength of m-learning in a social context. The social group mapping and metacognition algorithms are presented. Contribution: The proposed model is envisaged to serve as a guide for developers in implementing suitable m-learning applications. Furthermore, educationists and instructors can devise new pedagogical practices based on the possibilities provided by the proposed m-learning framework. Findings: The effectiveness of any knowledge management system is grounded in the technique used in representing the knowledge. The CKB proposed manipulates knowledge as a dynamic concept network, similar to human knowledge processing, thus, providing a rich semantic capability, which provides various relationships between concepts. Recommendations for Practitioners: Educationist and instructors need to develop new pedagogical practices in line with m-learning. Recommendation for Researchers: The design and implementation of an effective m-learning application are challenging due to the reliance on both pedagogical and technological elements. To tackle this challenge, frameworks which describe the conceptual interaction between the various components of pedagogy and technology need to be proposed. Impact on Society: The creation of an educational platform that provides instant access to relevant knowledge. Future Research: In the future, the proposed framework will be evaluated against some set of criteria for its effectiveness in acquiring and presenting knowledge in a real-life scenario. By analyzing real student interaction in m-learning, the algorithms will be tested to show their applicability in eliciting student metacognition and support for social interactivity.

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