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Memorias de investigación
Communications at congresses:
A Model for Student Action Prediction in 3D Virtual Environments for Procedural Training
Year:2015
Research Areas
  • Computer systems,
  • Virtual reality
Information
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.
International
Si
Congress
Educational Data Mining 2015: 8th International Conference on Educational Data Mining
970
Place
MADRID
Reviewers
Si
ISBN/ISSN
978-84-606-9425-0
Start Date
26/06/2015
End Date
29/06/2015
From page
614
To page
615
A Model for Student Action Prediction in 3D Virtual Environments for Procedural Training
Participants
  • Autor: Diego Riofrío Luzcando (UPM)
  • Autor: Jaime Ramirez Rodriguez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
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