DocumentCode
2751364
Title
Evolutive mechanism for E-Learning platforms: A new approach for old methods
Author
Pires, Jorge Manuel ; Cota, Manuel Perez
Author_Institution
Dept. of Inf., Area of Comput. Syst. & Software, Univ. of Vigo, Vigo, Spain
fYear
2010
fDate
14-16 April 2010
Firstpage
891
Lastpage
894
Abstract
Since the beginning of men, knowledge distinguishes us as a species and has become the key to our own evolution. Humans have a complex psycho-pedagogic model, the result of millions of years of evolution. This model compromises very often the educational structures, because each of us-despite we can be inserted in specific groups, have a personal learning curve. Like nature, that develops special strategies for the evolution of the species, it is possible to find the correct individual learning path, using one of the oldest Mother Nature mechanisms-evolutive genetic. Using tools like JAVA, XML (eXtensible Markup Language), an open source LMS (Learning Management System), i.e. Moodle, a standard as SCORM (Sharable Content Reference Model), all controlled by a GA (Genetic Algorithm), it is possible to achieve a flexible platform to help all the educational process actors. The goal is to create a self universal monitoring and learning system, which follows the progression of individual learning-by using a mathematical function applied to a genetic algorithm, maximizing the results and achieve the subject “learning curve”.
Keywords
Java; XML; computer aided instruction; genetic algorithms; public domain software; Java; Moodle; e-learning platforms; educational structures; evolutive genetic mechanism; extensible markup language; genetic algorithm; learning management system; open source LMS; psycho-pedagogic model; sharable content reference model; Character generation; Electrocardiography; Electronic learning; Engineering education; Human computer interaction; Genetic Algorithm; Java; SCORM; XML;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Engineering (EDUCON), 2010 IEEE
Conference_Location
Madrid
Print_ISBN
978-1-4244-6568-2
Electronic_ISBN
978-1-4244-6570-5
Type
conf
DOI
10.1109/EDUCON.2010.5492482
Filename
5492482
Link To Document