eprintid: 41758
rev_number: 9
eprint_status: archive
userid: 1903
dir: disk0/00/04/17/58
datestamp: 2017-01-18 09:39:38
lastmod: 2017-01-18 09:39:38
status_changed: 2017-01-18 09:39:38
type: conference_item
metadata_visibility: show
creators_name: Riofrío Luzcando, Diego
creators_name: Ramírez Rodríguez, Jaime
creators_orcid: 0000-0003-4006-698X
title: A model for student action prediction in 3D virtual environments for procedural training
ispublished: unpub
subjects: informatica
keywords: Intelligent Tutoring Systems; Educational Data Mining; Elearning; Procedural training; Virtual environments
abstract: This paper presents a predictive student actionmodel, which uses student logs generated by a 3D virtual environment for procedural training to elaborate summarized information. This model can predict the most common behaviors by con- sidering the sequences of more frequent actions, which is useful to anticipate common student? errors. These logs are clustered based on the number of errors made by each stu- dent and the total time that each student spent to complete the entire practice. Next, for each cluster an extended au- tomata is created, which allows us to generate predictions more reliable to each student type. In turn, the action pre- diction based on this model helps an intelligent tutoring sys- tem to generate students? feedback proactively.
date: 2015
date_type: published
publisher: Universidad Nacional de Educación a Distancia
official_url: http://www.educationaldatamining.org/EDM2015/index.php?page=proceedings
full_text_status: public
pres_type: other
volume: 1
place_of_pub: Madrid
pagerange: 614-615
event_title: 8th International Conference on Educational Data Mining
event_location: Madrid, España
event_dates: 26-29 Jun 2015
event_type: conference
institution: ETSI_Informatica
department: Inteligencia_Artificial
refereed: TRUE
isbn: 978-84-606-9425-0
book_title: EDM 2015: proceedings of the 8th International Conference on Educational Data Mining
rights: by-nc-nd
citation:    Riofrío Luzcando, Diego and Ramírez Rodríguez, Jaime ORCID: https://orcid.org/0000-0003-4006-698X <https://orcid.org/0000-0003-4006-698X>  (2015).  A model for student action prediction in 3D virtual environments for procedural training.  In: "8th International Conference on Educational Data Mining", 26-29 Jun 2015, Madrid, España. ISBN 978-84-606-9425-0. pp. 614-615.    
document_url: https://oa.upm.es/41758/1/INVE_MEM_2015_220112.pdf