Constructing a personalized e-learning system for students with autism based on soft semantic web technologies

2012 ◽  
Author(s):  
M. V. Judy ◽  
U. Krishnakumar ◽  
A. G. Hari Narayanan
Keyword(s):  
Semantic Web ◽  
Learning System ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
E Learning ◽  
Students With Autism

An Ontology-Based e-Learning Scenario

2011 ◽  
pp. 63-71
Author(s):  
WenYing Guo
Keyword(s):  
Semantic Web ◽  
Relevant Information ◽  
Learning System ◽  
Semantic Mapping ◽  
Application Domain ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Mapping Approach ◽  
E Learning ◽  
Heterogeneous Knowledge

Selecting appropriate learning services for a learner from a large number of heterogeneous knowledge sources is a complex and challenging task. This chapter illustrates and discusses how Semantic Web technologies can be applied to e-learning system to help learner in selecting appropriate learning course or retrieving relevant information. It firstly presents the main features of e-learning scenario and the ontology on which it is based; then illustrates the scenario ontology with the training domain and the application domain. Finally, it presents Semantic Querying and Semantic Mapping approach.

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

Capturing the Semantics of Simulation Learning with Linked Data

Gamification ◽  
2015 ◽  
pp. 273-295 ◽  
Author(s):  
Irene Celino ◽  
Daniele Dell'Aglio
Keyword(s):  
Semantic Web ◽  
Learning Environments ◽  
Serious Games ◽  
Linked Data ◽  
Daily Practice ◽  
Learning System ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Simulation Learning ◽  
Learning Data

Knowledge-rich learning environments like simulation learning sessions call for the adoption of knowledge technologies to effectively manage information and data related to the learning supply and to the observation analysis. In this chapter, the authors illustrate the benefits and the challenges from the adoption of Linked Data and Semantic Web technologies to model, store, update, collect, and interpret learning data in simulation environments. The experience gained in applying this approach to a Simulation Learning system based on Serious Games proves the feasibility and the advantages of knowledge technologies in addressing and solving the issues faced by trainers and teachers in their daily practice.

An application of intelligent techniques and semantic web technologies in e-learning environments

2009 ◽  
Vol 36 (2) ◽  
pp. 1922-1931 ◽  
Author(s):  
Anatoly Gladun ◽  
Julia Rogushina ◽  
Francisco Garcı´a-Sanchez ◽  
Rodrigo Martínez-Béjar ◽  
Jesualdo Tomás Fernández-Breis
Keyword(s):  
Semantic Web ◽  
Learning Environments ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
E Learning

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.

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