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Memorias de investigación
Ponencias en congresos:
A Model for Student Action Prediction in 3D Virtual Environments for Procedural Training
Año:2015
Áreas de investigación
  • Informática,
  • Realidad virtual
Datos
Descripción
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.
Internacional
Si
Nombre congreso
Educational Data Mining 2015: 8th International Conference on Educational Data Mining
Tipo de participación
970
Lugar del congreso
MADRID
Revisores
Si
ISBN o ISSN
978-84-606-9425-0
DOI
Fecha inicio congreso
26/06/2015
Fecha fin congreso
29/06/2015
Desde la página
614
Hasta la página
615
Título de las actas
A Model for Student Action Prediction in 3D Virtual Environments for Procedural Training
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Diego Riofrío Luzcando (UPM)
  • Autor: Jaime Ramirez Rodriguez (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
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