Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Predicting Student Actions in a Procedural Training Environment
Year:2017
Research Areas
  • Computer applications
Information
Abstract
Data mining is known to have a potential for predicting user performance. However, there are few studies that explore its potential for predicting student behavior in a procedural training environment. This paper presents a collective student model, which is built from past student logs. These logs are firstly grouped into clusters. Then an extended automaton is created for each cluster based on the sequences of events found in the cluster logs. The main objective of this model is to predict the actions of new students for improving the tutoring feedback provided by an intelligent tutoring system. The proposed model has been validated using student logs collected in a 3D virtual laboratory for teaching biotechnology. As a result of this validation, we concluded that the model can provide reasonably good predictions and can support tutoring feedback that is better adapted to each student type.
International
Si
JCR
Si
Title
Ieee Transactions on Learning Technologies
ISBN
1939-1382
Impact factor JCR
1,22
Impact info
Datos JCR del año 2013
Volume
10.1109/TLT.2017.2658569
Journal number
From page
1
To page
1
Month
JUNIO
Ranking
Participants
  • Autor: Diego Riofrío Luzcando (UPM)
  • Autor: Jaime Ramirez Rodriguez (UPM)
  • Autor: Marta Berrocal Lobo (UPM)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Sistemas y Recursos Naturales
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)