INVESTIGADORES
SCHIAFFINO silvia Noemi
artículos
Título:
eTeacher: providing personalized assistance to e-learning students
Autor/es:
SILVIA SCHIAFFINO; GARCIA, P.; ANALÍA AMANDI,
Revista:
COMPUTERS AND EDUCATION
Editorial:
Elsevier
Referencias:
Año: 2008 vol. 51 p. 1744 - 1754
ISSN:
0360-1315
Resumen:
In this paper we present eTeacher, an intelligent agent that provides personalized assistance to e-learning students. eTeacher observes a students behavior while he/she is taking online courses and automatically builds the students profile. This profile comprises the students learning style and information about the students performance, such as exercises done, topics studied, exam results. In our approach, a students learning style is automatically detected from the students actions in an e-learning system using Bayesian networks. Then, eTeacher uses the information contained in the student profile to proactively assist the student by suggesting him/her personalized courses of action that will help him/her during the learning process. eTeacher has been evaluated when assisting System Engineering students and the results obtained thus far are promising.