A model for student action prediction in 3D virtual environments for procedural training

Riofrío Luzcando, Diego and Ramírez Rodríguez, Jaime ORCID: 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.

Description

Title: A model for student action prediction in 3D virtual environments for procedural training
Author/s:
Item Type: Presentation at Congress or Conference (Other)
Event Title: 8th International Conference on Educational Data Mining
Event Dates: 26-29 Jun 2015
Event Location: Madrid, España
Title of Book: EDM 2015: proceedings of the 8th International Conference on Educational Data Mining
Date: 2015
ISBN: 978-84-606-9425-0
Volume: 1
Subjects:
Freetext Keywords: Intelligent Tutoring Systems; Educational Data Mining; Elearning; Procedural training; Virtual environments
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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.

More information

Item ID: 41758
DC Identifier: https://oa.upm.es/41758/
OAI Identifier: oai:oa.upm.es:41758
Official URL: http://www.educationaldatamining.org/EDM2015/index...
Deposited by: Memoria Investigacion
Deposited on: 18 Jan 2017 09:39
Last Modified: 18 Jan 2017 09:39
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