Visualization of a student predictive model for 3D virtual environments driven to procedural training


Autoria(s): Huang, KeLi
Contribuinte(s)

Ramírez Rodríguez, Jaime

Riofrío Luzcando, Diego

Data(s)

01/07/2015

Resumo

This document presents theimplementation ofa Student Behavior Predictor Viewer(SBPV)for a student predictive model. The student predictive model is part of an intelligent tutoring system, and is built from logs of students’ behaviors in the “Virtual Laboratory of Agroforestry Biotechnology”implemented in a previous work.The SBPVis a tool for visualizing a 2D graphical representationof the extended automaton associated with any of the clusters ofthe student predictive model. Apart from visualizing the extended automaton, the SBPV supports the navigation across the automaton by means of desktop devices. More precisely, the SBPV allows user to move through the automaton, to zoom in/out the graphic or to locate a given state. In addition, the SBPV also allows user to modify the default layout of the automaton on the screen by changing the position of the states by means of the mouse. To developthe SBPV, a web applicationwas designedand implementedrelying on HTML5, JavaScript and C#.

Formato

application/pdf

Identificador

http://oa.upm.es/37200/

Idioma(s)

eng

Publicador

E.T.S. de Ingenieros Informáticos (UPM)

Relação

http://oa.upm.es/37200/1/EMSE-2015-07-Ke_Li_Huang.pdf

Direitos

http://creativecommons.org/licenses/by-nc-nd/3.0/es/

info:eu-repo/semantics/openAccess

Palavras-Chave #Informática
Tipo

Tesis de Master

info:eu-repo/semantics/masterThesis

NonPeerReviewed