R.E.M.A.: Volumen 13(1)

Indice de Contenidos

• Moral de la Rubia,J. (2008) VALIDACIÓN DE LA ESCALA DE VALORACION DE LA RELACION EN UNA MUESTRA MEXICANA , Volumen 13(1), pags.: 1-12.
  URL:http://www.psico.uniovi.es/REMA/v13n1/a1/
  Lectura del artículo en formato: PDF (122 Kb)

  ABSTRACT.
  The objective of the article is to validate a measure of marital satisfaction developed in American population in a Mexican sample, determining its distribution, internal consistency, factor structure and relation with other scales. A sample of 100 married couples is used. The Relationship Assessment Scale (RAS), the Marital Satisfaction Scale (MAS), the Dyadic Adjustment Scale (DAS) and the Index of Sexual Satisfaction (ISS) are applied as measure instruments. The data are analyzed with the Kolmogorov-Smirnov’s test, Cronbach’s alpha, factor analysis and lineal correlation. The Relationship Assessment Scale (RAS) has a one-factor structure, its internal consistency is .81, its distribution is asymmetric positive and it presents high correlations with MAS, DAS and ISS. It is concluded that it is a useful and valid measure.
  Key words: marital satisfaction, dyadic adjustment, sexual satisfaction, psychometrics.

• López,J. y García,J. (2008) SISTEMAS DE TUTORIZACIÓN INTELIGENTE BASADOS EN REDES BAYESIANAS , Volumen 13(1), pags.: 13-25.
  URL:http://www.psico.uniovi.es/REMA/v13n1/a2/
  Lectura del artículo en formato: PDF (130 Kb)

  ABSTRACT.
  Programmed teaching has suffered major advances because of the computer science development. There are more and more software designed to learn any matter or skill. Intelligent Tutoring Systems arose in that context associated with bayesian networks. Bayesian nets are statistical tools developed in the field of Artificial Intelligence to manage probabilistic inference. In educational context, bayesian nets are used to model the uncertainty about student knowledge. We present the Bayes nets methodology related with Intelligent Tutoring Systems, we review several examples of bayesian tutoring systems and we propose how tutoring systems could be optimized.
  Key words: Intelligent Tutoring Systems, making decisions, psychology of learning, education, Bayes nets.