Inclusion of immersive virtual learning environments and visual control systems to support the learning of students with Asperger syndrome

This paper presents the use of immersive virtual reality systems in the educational intervention with Asperger students. The starting points of this study are features of these students' cognitive style that requires an explicit teaching style supported by visual aids and highly structured environments. The proposed immersive virtual reality system, not only to assess the student's behavior and progress, but also is able to adapt itself to the student's specific needs. Additionally, the immersive reality system is equipped with sensors that can determine certain behaviors of the students. This paper determines the possible inclusion of immersive virtual reality as a support tool and learning strategy in these particular students' intervention. With this objective two task protocols have been defined with which the behavior and interaction situations performed by participant students are recorded. The conclusions from this study talks in favor of the inclusion of these virtual immersive environments as a support tool in the educational intervention of Asperger syndrome students as their social competences and executive functions have improved.

Protaetia (Eupotosia) affinis (Andersch, 1797) y Protaetia (Eupotosia) mirifica (Mulsant, 1842) en el sudoeste de la provincia de Salamanca (Coleoptera: Scarabaeoidea: Cetoniidae, Cetoniini)

Esta investigación fue financiada en parte por el Ministerio de Ciencia e Innovación (CGL2011-23658), Ministerio de Economía y Competitividad (CGL2012-31669) y Generalitat Valenciana (proyectos PROMETEO/2013/03412 y ACOMP/2014/140). A. R. H. agradece la beca predoctoral del programa Santiago Grisolía de la Generalitat Valenciana (GRISOLIA/2010/080).

A demand-driven analysis of tourist accommodation price: A quantile regression of room bookings

Tourist accommodation expenditure is a widely investigated topic as it represents a major contribution to the total tourist expenditure. The identification of the determinant factors is commonly based on supply-driven applications while little research has been made on important travel characteristics. This paper proposes a demand-driven analysis of tourist accommodation price by focusing on data generated from room bookings. The investigation focuses on modeling the relationship between key travel characteristics and the price paid to book the accommodation. To accommodate the distributional characteristics of the expenditure variable, the analysis is based on the estimation of a quantile regression model. The findings support the econometric approach used and enable the elaboration of relevant managerial implications.