Classroom for the Semantic Web

2005 ◽  
pp. 251-283 ◽  
Author(s):  
Goran Shimic ◽  
Dragan Gasevic ◽  
Vladan Devedzic
Keyword(s):  
Semantic Web ◽  
Petri Net ◽  
Learning Systems ◽  
Learning Materials ◽  
Semantic Web Technologies ◽  
Web Based ◽  
Tutoring Systems ◽  
Web Technologies ◽  
E Learning ◽  
Server System

This chapter emphasizes integration of Semantic Web technologies in intelligent learning systems by giving a proposal for an intelligent learning management system (ILMS) architecture we named Multitutor. This system is a Web-based environment forth development of e-learning courses and for the use of them by the students. Multitutor is designed as a Web-classroom client-server system, ontologically founded, and is built using modern intelligent and Web-related technologies. This system enables the teachers to develop tutoring systems for any course. The teacher has to define the metadata of the course: chapters, the lessons and the tests, the references of the learning materials. We also show how the Multitutor system can be employed to develop learning systems that use ontologically created learning materials as well as Web services. As an illustration we describe a simple Petri net teaching system that is based on the Petrinet infrastructure for the Semantic Web.

Using Semantis Web Technologies within E-Learning Applications

2011 ◽  
pp. 173-201
Author(s):  
Wilson Castello Branco Neto
Keyword(s):  
Learning Management Systems ◽  
Learning Objects ◽  
Semantic Web Technologies ◽  
Web Based ◽  
Tutoring Systems ◽  
Web Technologies ◽  
Web Based Learning ◽  
E Learning ◽  
Development And Management ◽  
The Web

This chapter reveals how the Web has improved e-learning as well as some of the problems that came along with it. It argues that the main problem is the gap between two groups involved on Web-based learning. The first group spent its energy studying learning processes, although they are not concerned with reducing the costs and the work necessary for the development and management of such systems. On the other hand, the second group aims at facilitating the construction and management of the courses, without turning its efforts toward learning subject. In this chapter, the union of technologies developed by both groups, such as intelligent tutoring systems, adaptive hypermedia, learning management systems, and learning objects, is discussed. The proposal to put together the four technologies is based on Semantic Web technologies, aiming to solve problems faced by developers, teachers, and learners of Web-based learning.

A Survey of Semantic Web Based Architectures for Adaptive Intelligent Tutoring System

2012 ◽  
pp. 239-256
Author(s):  
Suraiya Jabin ◽  
K. Mustafa
Keyword(s):  
Artificial Intelligence ◽  
Semantic Web ◽  
Intelligent Tutoring ◽  
Main Idea ◽  
Semantic Web Technologies ◽  
Web Based ◽  
Tutoring Systems ◽  
Web Technologies ◽  
Artificial Intelligence In Education ◽  
Web Based Education

Most recently, IT-enabled education has become a very important branch of educational technology. Education is becoming more dynamic, networked, and increasingly electronic. Today’s is a world of Internet social networks, blogs, digital audio and video content, et cetera. A few clear advantages of Web-based education are classroom independence and availability of authoring tools for developing Web-based courseware, cheap and efficient storage and distribution of course materials, hyperlinks to suggested readings, and digital libraries. However, there are several challenges in improving Web-based education, such as providing for more adaptivity and intelligence. The main idea is to incorporate Semantic Web technologies and resources to the design of artificial intelligence in education (AIED) systems aiming to update their architectures to provide more adaptability, robustness, and richer learning environments. The construction of such systems is highly complex and faces several challenges in terms of software engineering and artificial intelligence aspects. This chapter addresses state of the art Semantic Web methods and tools used for modeling and designing intelligent tutoring systems (ITS). Also it draws attention of Semantic Web users towards e-learning systems with a hope that the use of Semantic Web technologies in educational systems can help the accomplishment of anytime, anywhere, anybody learning, where most of the web resources are reusable learning objects supported by standard technologies and learning is facilitated by intelligent pedagogical agents, that may be adding the essential instructional ingredients implicitly.

scholarly journals Integration of the tagging mechanism in the collaborative e-learning system

2012 ◽  
Vol 13 (1) ◽  
pp. 54-60
Author(s):  
Andrejs Lesovskis ◽  
Vladimirs Kotovs ◽  
Leonids Novickis
Keyword(s):  
Learning Environment ◽  
Semantic Web ◽  
Learning Systems ◽  
Learning System ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Combined Use ◽  
E Learning ◽  
Machine Readable

Abstract - The tagging mechanism is a technique that can be used to implement the personalized collaboration in the e-Learning systems, thereby increasing the efficiency of such a system. Semantic Web technologies can be used to enhance tags with machine-readable annotations to improve the accuracy of tag-based recommendation services. The novelty of the proposed approach is the combined use of the Semantic Web technologies and the reuse-oriented model in the development of the e-Learning environment.

Semantic Web Technologies for e-Learning: Models and Implementation

Informatica ◽  
2015 ◽  
Vol 26 (2) ◽  
pp. 221-240 ◽  
Author(s):  
Valentina Dagienė ◽  
Daina Gudonienė ◽  
Renata Burbaitė
Keyword(s):  
Semantic Web ◽  
Learning Models ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
E Learning

scholarly journals Enhancing e-Learning Content by Using Semantic Web Technologies

2017 ◽  
Vol 10 (4) ◽  
pp. 544-550 ◽  
Author(s):  
Herminio Garcia-Gonzalez ◽  
Jose Emilio Labra Gayo ◽  
MPuerto Paule-Ruiz
Keyword(s):  
Semantic Web ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Learning Content ◽  
E Learning

E-Learning and Semantic Technologies

2011 ◽  
pp. 810-816
Author(s):  
Konstantinos Markellos ◽  
Penelope Markellou
Keyword(s):  
Semantic Web ◽  
Information And Communication Technologies ◽  
Teaching And Learning ◽  
Modern Society ◽  
Communication Technologies ◽  
Semantic Web Technologies ◽  
Web Based ◽  
Information And Communication ◽  
E Learning ◽  
Knowledge Intensive

Traditional teaching and learning methods have had to adapt to keep up with Information and Communication Technologies (ICTs) in modern society. E-learning stands for all forms of Web-based learning and uses computer and computer networks to create, store, deliver, manage and support online learning courses to anyone, anytime and anywhere. It provides a configurable infrastructure that can integrate learning materials, tools, and services into a single solution to create and deliver training or educational materials quickly, effectively, and economically. Recently, emerging Semantic Web technologies have changed the focus of e-learning systems from task-based approaches to knowledge-intensive ones. The Semantic Web is a W3C initiative and according to Berners-Lee et al. (2001) comprises “an extension of the current Web in which information is given welldefined meaning, better enabling computers and people to work in cooperation”. The capability of the Semantic Web to add meaning to information, stored in such way that it can be searched and processed, as well as recent advances in Semantic Web-based technologies provide the mechanisms for semantic knowledge representation, exchange and collaboration of e-learning applications (Anderson & Whitelock, 2004).

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