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

Riofrío Luzcando, Diego y Ramírez Rodríguez, Jaime (2015). A model for student action prediction in 3D virtual environments for procedural training. En: "8th International Conference on Educational Data Mining", 26-29 Jun 2015, Madrid, España. ISBN 978-84-606-9425-0. pp. 614-615.

Descripción

Título: A model for student action prediction in 3D virtual environments for procedural training
Autor/es:
  • Riofrío Luzcando, Diego
  • Ramírez Rodríguez, Jaime
Tipo de Documento: Ponencia en Congreso o Jornada (Otro)
Título del Evento: 8th International Conference on Educational Data Mining
Fechas del Evento: 26-29 Jun 2015
Lugar del Evento: Madrid, España
Título del Libro: EDM 2015: proceedings of the 8th International Conference on Educational Data Mining
Fecha: 2015
ISBN: 978-84-606-9425-0
Volumen: 1
Materias:
Palabras Clave Informales: Intelligent Tutoring Systems; Educational Data Mining; Elearning; Procedural training; Virtual environments
Escuela: E.T.S. de Ingenieros Informáticos (UPM)
Departamento: Inteligencia Artificial
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

ID de Registro: 41758
Identificador DC: http://oa.upm.es/41758/
Identificador OAI: oai:oa.upm.es:41758
URL Oficial: http://www.educationaldatamining.org/EDM2015/index.php?page=proceedings
Depositado por: Memoria Investigacion
Depositado el: 18 Ene 2017 09:39
Ultima Modificación: 18 Ene 2017 09:39
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