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:2015
Research Areas
  • Computer systems,
  • Virtual reality
Information
Abstract
This paper presents a way to predict student actions, by us- ing 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 gen- erate 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 com- mon student errors, and this can help an Intelligent Tutoring System to generate feedback proactively. Key
International
Si
10.1007/978-3-319-28883-3
Book Edition
1
Book Publishing
Springer
ISBN
978-3-319-28882-6
Series
Book title
E-Learning, E-Education, and Online Training
From page
200
To page
207
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
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
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)