scholarly journals A Web-Based E-Learning System Using Semantic Web Framework

2006 ◽  
Vol 2 (8) ◽  
pp. 619-626 ◽  
Author(s):  
Fayed F. M. Ghaleb ◽  
Sameh S. Daoud ◽  
Ahmad M. Hasna ◽  
Jihad M. Jaam ◽  
Hosam F. El-Sofany
Keyword(s):  
Semantic Web ◽  
Learning System ◽  
Web Based ◽  
Web Framework ◽  
E Learning

scholarly journals Semantic web based e-learning system for sports domain

2010 ◽  
Vol 8 (14) ◽  
pp. 21-25 ◽  
Author(s):  
S.Muthu lakshmi ◽  
G.V. Uma
Keyword(s):  
Semantic Web ◽  
Learning System ◽  
Web Based ◽  
E Learning

Conclusions

2006 ◽  
Author(s):  
Christopher Walton
Keyword(s):  
Semantic Web ◽  
Large Scale ◽  
Web Search ◽  
Web Based ◽  
E Learning ◽  
Computer Based ◽  
Intelligent Devices ◽  
Automated Data Integration ◽  
The Web

At the start of this book we outlined the challenges of automatic computer based processing of information on the Web. These numerous challenges are generally referred to as the ‘vision’ of the Semantic Web. From the outset, we have attempted to take a realistic and pragmatic view of this vision. Our opinion is that the vision may never be fully realized, but that it is a useful goal on which to focus. Each step towards the vision has provided new insights on classical problems in knowledge representation, MASs, and Web-based techniques. Thus, we are presently in a significantly better position as a result of these efforts. It is sometimes difficult to see the purpose of the Semantic Web vision behind all of the different technologies and acronyms. However, the fundamental purpose of the Semantic Web is essentially large scale and automated data integration. The Semantic Web is not just about providing a more intelligent kind of Web search, but also about taking the results of these searches and combining them in interesting and useful ways. As stated in Chapter 1, the possible applications for the Semantic Web include: automated data mining, e-science experiments, e-learning systems, personalized newspapers and journals, and intelligent devices. The current state of progress towards the Semantic Web vision is summarized in Figure 8.1. This figure shows a pyramid with the human-centric Web at the bottom, sometimes termed the Syntactic Web, and the envisioned Semantic Web at the top. Throughout this book, we have been moving upwards on this pyramid, and it should be clear that a great deal of progress that has been made towards the goal. This progress is indicated by the various stages of the pyramid, which can be summarized as follows: • The lowest stage on the pyramid is the basic Web that should be familiar to everyone. This Web of information is human-centric and contains very little automation. Nonetheless, the Web provides the basic protocols and technologies on which the Semantic Web is founded. Furthermore, the information which is represented on the Web will ultimately be the source of knowledge for the Semantic Web.

Facilitating Learning Resource Retrieval for Students with Disabilities through an Ontology-Driven and Disability-Aware Virtual Learning Environment

2015 ◽  
Vol 5 (3) ◽  
pp. 75-98 ◽  
Author(s):  
Julius T. Nganji ◽  
Mike Brayshaw
Keyword(s):  
Students With Disabilities ◽  
Virtual Learning ◽  
Relevant Information ◽  
Virtual Learning Environment ◽  
Learning System ◽  
Educational Institutions ◽  
Technology In Education ◽  
Learning Materials ◽  
Web Based ◽  
E Learning

Existing virtual learning environments (VLEs) in educational institutions are not designed with the expectation that students with disabilities will use them. Consequently, retrieving relevant information by some students with disabilities is a challenging task. The focus of this study was to propose the design of VLEs to incorporate ontologies that facilitate information retrieval by students with disabilities in their learning, thus serving as a semantic web-based assistive technology in education. An Ontology-Driven Disability-Aware Personalised E-Learning System (ONTODAPS) was designed and then used to recommend specific learning materials to learners based on their learning goal and disability type. Preliminary results of the evaluation of ONTODAPS, by 30 students with disabilities, indicate that 70% of the participants found ONTODAPS to offer a better personalisation, better access to learning materials (68%) and is easier to use (63%) in retrieving learning materials than Sakai. Thus ONTODAPS serves as an assistive tool in their education through retrieval of relevant learning materials in a suitable format which is compatible with their disability.

An Intelligent System for Predicting a User Access to a Web Based E-Learning System Using Web Mining

2020 ◽  
Vol 15 (1) ◽  
pp. 75-94 ◽  
Author(s):  
Sathiyamoorthi V.
Keyword(s):  
Data Analytics ◽  
Web Mining ◽  
Intelligent System ◽  
Learning System ◽  
Web Based ◽  
Challenging Tasks ◽  
E Learning ◽  
User Access ◽  
Near Future ◽  
A Company

In this Internet era, with ever-increasing interactions among participants, the size of the data is increasing so rapidly such that the information available to us in the near future is going to be unpredictable. Modeling and visualizing such data are one of the challenging tasks in the data analytics field. Therefore, business intelligence is the way in which a company can use data to improve business and operational efficiency whereas data analytics involves improving ways of making intelligence out of that data before acting on it. Thus, the proposed work focuses on prevailing challenges in data analytics and its application on social media like Facebook, Twitter, blogs, e-commerce, e-service and so on. Among all of the possible interactions, e-commerce, e-education, and e-services have been identified as important domains for analytics techniques. So, it focuses on machine learning technique in improving practice and research in such e-X domains. Empirical analysis is done to show the performance of proposed system using real-time datasets.

Towards a Personalized E-Learning System

2011 ◽  
pp. 2124-2134
Author(s):  
Elvis Wai Chung Leung ◽  
Qing Li
Keyword(s):  
Online Education ◽  
Economic Benefit ◽  
Learning System ◽  
Development Cost ◽  
Web Based ◽  
Course Materials ◽  
Web Based Learning ◽  
Interactive Environment ◽  
E Learning ◽  
The Web

To cope with the increasing trend of learning demand and limited resources, most universities are taking advantage of Web-based technology for their distance education or e-learning (Montelpare & Williams, 2000). One of the reasons is due to the significant price drop of personal computers in recent decades; the Internet and multimedia have penetrated into most households. Moreover, most students prefer to learn from an interactive environment through a self-paced style. Under the Web-based learning model, students can learn anytime, anywhere because they are not required to go to school on schedule (Appelt, 1997). Meanwhile, universities also enjoy the economic benefit due to the large student base that can share the development cost of course materials and other operational expenses. Gradually, more and more universities follow this similar way to provide online education.

Web Based E-Learning System for C-Language

2013 ◽  
Vol 427-429 ◽  
pp. 2870-2873
Author(s):  
Lian Xi Hong ◽  
Chuan Mu Li
Keyword(s):  
Learning System ◽  
Learning Goals ◽  
Online Course ◽  
Tutoring System ◽  
Web Based ◽  
C Language ◽  
Course Materials ◽  
Integrated Environment ◽  
E Learning ◽  
Exam System

This paper introduces a Web-based tutoring system for computer programming that provides an integrated environment for web programming. The proposed system is web-based. It provides an online editor for writing, editing, updating, and executing programming code, so the students can execute examples and practical exercises online, it can help a student navigate through the online course materials, recommend learning goals, and generate appropriate reading sequences.. In addition, it provides auto complete and syntax highlighting in editing code, which could help students to remember the syntax more easily. The proposed system provides communication and interactive forum among students and teachers. And it provides the teachers with an online exam system. It monitors, collects and keeps information about students performance and activities. Therefore, teachers can use the recorded information to keep tracking of the students progress.

Cloud Based e-Learning Platform: An Effective Virtual Learning Environment for Higher Education Institutions

2020 ◽  
Vol 17 (9) ◽  
pp. 4585-4592
Author(s):  
Nidhi Gupta ◽  
Neeraj Sharma ◽  
Sanjay Sood
Keyword(s):  
Higher Education ◽  
Cloud Computing ◽  
Developed Countries ◽  
Virtual Learning Environment ◽  
Learning System ◽  
Education Standards ◽  
Web Based ◽  
Learning Platform ◽  
E Learning ◽  
Teaching Learning

The teaching-learning process, especially in higher education has always been a matter of great concern in developing countries as it makes the nation’s youth capable and is a mainstay towards its development. With the introduction of ICT, it has become even more important to change the learning methodology using the latest technologies like e-Learning, m-Learning, Cloud Computing etc., to match with the education standards of developed countries. This aim of this paper is to provide an insight about the use of e-Learning and cloud computing in HEIs. The paper also discusses the various cloud based adoption technologies used for HEIs and illustrates the comparative analysis of the web based and cloud based e-Learning system.

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