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Memorias de investigación
Communications at congresses:
Student Action Prediction for Automatic Tutoring for Procedural Training in 3D Virtual Environments
Year:2015
Research Areas
  • Information technology and adata processing
Information
Abstract
This paper presents a way to predict student actions, by using student logs generated by a 3D virtual environment for procedural training. Each student log is categorized in a cluster based on the number of errors and the total time spent to complete the entire practice. For each cluster an extended automata is created, which allows us to generate more reliable predictions according to each student type. States of this extended automata represent the effect of a student correct or failed action. The most common behaviors can be predicted considering the sequences of more frequent actions. This is useful to anticipate common student errors, and this can help an Intelligent Tutoring System to generate feedback proactively.
International
Si
Congress
2nd EAI International Conference on e-Learning e-Education and Online Training
960
Place
Novedrate, Italia
Reviewers
Si
ISBN/ISSN
978-3-319-28882-6
10.1007/978-3-319-28883-3_25
Start Date
16/09/2015
End Date
18/09/2015
From page
200
To page
207
E-Learning, E-Education, and Online Training Volume 160 of the series Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Participants
  • Autor: Diego Riofrío Luzcando (UPM)
  • Autor: Jaime Ramirez Rodriguez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Interacción Persona Ordenador y Sistemas Interactivos Avanzados
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
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