(856)E-ISSUE DEVELOPMENT BASED ON A GNU MULTIMEDIAENVIRONMENT TO SELF-LEARNING PASW (STATISTICSSOFTWARE)

摘要

In our field, methodology of the behavioral sciences, we face with the need to work with data analysissoftware that require the purchase of a license, who is not within rich of our students. Apart from that,adequate knowledge of the use of this software may be essential in their future professional activity. Ifyou also add that the establishment of the European Higher Education leads us to the adoption ofrenewal processes in the teaching methodology, it's essential to have a tool to give guarantees for allof our students to become them who guide their own learning.The necessity imposed by the new degrees and the extinction of subjects in first and second degreecourse, makes it necessary to facilitate self-learning of these subjects to those students who couldn'tovercome them, because this teaching has been removed.In this paper we present the procedure and the development of a dynamic multimedia, in which weshow different data analysis procedures, facilitating the location of different menus and outputs. To dothis, we used free software Wink (http://www.debugmode.com/wink/) with we were capturing theprocesses that are followed in different statistical analysis, and then implement them in a multimediamaterial created with the GNU software Ex-eLearning (http://exelearning.org/wiki). This material canbe stored in web format for indexing it in personal pages, or in SCORM 1.2 format for later upload to aVirtual Classroom under the Moodle environment. The generation of this issue facilitates greaterindependence of the student, especially in the basic software of data analysis, because differentanimated gif and videos in the multimedia issue guide the student in his study without the need tohave such software.This multimedia material was performed with funding from the Education Support Unit of theUniversitat Jaume I of Castellon ("Unitat de Suport Educatiu"), and is planned for implementation inthe second semester of the current course, when the Data Analysis subjects starts.