Observatorio de I+D+i UPM

Memorias de investigación
Book chapters:
Student Action Prediction for Automatic Tutoring for Procedural Training in 3D Virtual Environments
Year:2016
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
10.1007/978-3-319-28883-3_25
Book Edition
Book Publishing
Springer
ISBN
978-3-319-28882-6
Series
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Vol.160
Book title
E-Learning, E-Education, and Online Training
From page
200
To page
207
Participants
  • Autor: Diego Fernando Riofrío Luzcanco (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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Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)