ABSTRACT
Schools are a fundamental context for processes of promotion and generation of resilience, since they focus not only on aspects of academic development, but also of personal and social development. Resilience in the teacher has a dual function. On the one hand, as resilient professionals, teachers can foster the development of resilience in their students; on the other hand, teaching resilience facilitates their own personal and professional well-being. Despite research highlighting the benefits of resilience in education, there is scarce research focused on assessing resilience in teachers. Thus, the aim of this paper is to analyze the psychometric properties of the Spanish version of Connor and Davidson's 10-item resilience scale (CD-RISC 10©) in a sample of 290 teachers. A confirmatory factorial analysis (CFA) is performed, which shows that the 10 items on the CD-RISC 10© Resilience Scale form a one-dimensional structure, with high reliability, McDonald's Omega coefficient (ω = 0.80) and Cronbach's alpha coefficient (α = 0.87). The results obtained in this work support the use of the scale for the assessment of resilience in teachers of Infant, Primary and Special Education, which is considered very useful, not only to know their degree of resilience, but also to assess the effectiveness of training programs.
Subject(s)
Resilience, Psychological , Child, Preschool , Education, Special , Factor Analysis, Statistical , Humans , Psychometrics , Reproducibility of Results , Surveys and QuestionnairesABSTRACT
Indoor localization is an enabling technology for pervasive and mobile computing applications. Although different technologies have been proposed for indoor localization, Wi-Fi fingerprinting is one of the most used techniques due to the pervasiveness of Wi-Fi technology. Most Wi-Fi fingerprinting localization methods presented in the literature are discriminative methods. We present a generative method for indoor localization based on Wi-Fi fingerprinting. The Received Signal Strength Indicator received from a Wireless Access Point is modeled by a hidden Markov model. Unlike other algorithms, the use of a hidden Markov model allows ours to take advantage of the temporal autocorrelation present in the Wi-Fi signal. The algorithm estimates the user's location based on the hidden Markov model, which models the signal and the forward algorithm to determine the likelihood of a given time series of Received Signal Strength Indicators. The proposed method was compared with four other well-known Machine Learning algorithms through extensive experimentation with data collected in real scenarios. The proposed method obtained competitive results in most scenarios tested and was the best method in 17 of 60 experiments performed.
ABSTRACT
The article exposes the process of design and implementation of a training program for teachers that teach people with Visual Functional Diversity (VFD), taking into account their needs both in training and in the provision of resources in Nicaragua. To verify the effectiveness of the program, a quasi-experimental design was carried out with a non-equivalent pretest and posttest control group. The experimental group received training while the control group did not receive training. The evaluation of the results obtained after the application of the program was carried out through two instruments: an efficacy questionnaire and a satisfaction questionnaire. The results showed significant differences between the experimental and control group after the application of the program (Z = -4,383; p = 0.000) in favor of the experimental group. It is confirmed that the program is effective in training teachers on inclusive education for the visually impaired as the teachers who took part in the training program significantly increased their knowledge in that issue.
Subject(s)
Teacher Training , Humans , Nicaragua , Program Evaluation , Surveys and QuestionnairesABSTRACT
Con la implantación del nuevo modelo universitario del Espacio Europeo de Educación Superior (EEES), los Servicios de Orientación en la Etapa Terciaria son imprescindibles como apoyo a los estudiantes en aspectos académicos, personales, toma de decisiones, itinerarios y salidas profesionales. Este estudio se ha llevado a cabo a través del análisis cualitativo de la información que ofrece la página Web de estos servicios en universidades de España, Francia, Estados Unidos, Canadá y Reino Unido. Para ello, se ha diseñado una rejilla de evaluación que consta de una parte general (visibilidad, navegación, enlaces, etc.) y otra específica relativa al campo de la orientación (futuros estudiantes, familia, alumni, etc.). Los resultados obtenidos nos permiten conocer cuáles son los aspectos importantes que se deben contemplar en todo Servicio de Orientación Universitario, así como generar un modelo de Servicio de Orientación para las Universidades españolas (AU)
With the introduction of the new European Higher Education Area (EHEA) university model, Guidance Services in Tertiary Education are essential to support students in academic, personal, decision-making aspects and for professional journeys and stays. This study was based on qualitatively analysing the information offered about these services on the web sites of universities in Spain, France, the United States, Canada and the United Kingdom. For this purpose, a repertory grid was designed, which comprises a general part(overview, browser, links, etc.) and a more specific one relating to the field of guidance (future students, family, alumni, etc.). The results obtained allow us to know not only the important aspects that must be considered in all University Guidance Services, but also how to construct a Guidance Service Model for Spanish universities (AU)
Subject(s)
Humans , Vocational Guidance/standards , Universities/trends , Students/psychology , Choice Behavior , Information ManagementABSTRACT
La donación de órganos en España es la más alta del mundo desde 1991. El propósito principal de este estudio es tener un conocimiento más profundo de los factores que influyen en las actitudes hacia la donación de órganos. La regresión logística ha revelado que la edad, conocer las actitudes de la pareja y haber manifestado a los familiares su opinión sobre la donación, son predictores significativos de las actitudes hacia la donación de órganos (AU)
Organ donation in Spain is the higest in the word since 1991. The main purpose of this study is to reach a deeper understanding of factors influencing the atitudes toward organ donation. Logistic regression revealed that age, knowing the attitudes of relatives and have expressed the opinion to relatives are significant predictors of the attitudes toward organ donation (AU)
Subject(s)
Humans , Motivation , Tissue Donors/psychology , Attitude , Set, Psychology , Tissue and Organ Procurement/organization & administration , Intention , Advance DirectivesABSTRACT
En muchas ocasiones las relaciones entre la/s variable/s respuesta/s y las predictoras pueden considerarse en el marco de la linealidad asumiendo como válida la ecuación de la recta desde la que se obtendrán los estimadores adecuados. No obstante, existen situaciones en las que no puede mantenerse la referencia a la linealidad en las relaciones entre variables. Por tanto, es preciso acudir a otras funciones que representen de forma más adecuada las anteriores relaciones. La estrategia de modelización, en el marco de la regresión no lineal, permite realizar una elaboración interactiva de procedimientos de identificación, estimación, validación y uso de los modelos. Desde esta perspectiva, es posible abarcar una gran cantidad de posibilidades de acuerdo con diferentes características desde las que considerar las variables implicadas. Así, podría repararse, entre otros, en modelos con variable independiente fija, modelos con variable independiente aleatoria, modelos con variables cualitativas o modelos con errores autocorrelacionados. La exposición del trabajo que se presenta trata de dar a conocer algunos aspectos teóricos que deberían considerarse a la hora de obtener modelos representativos de relaciones no lineales entre variables (AU)
In many cases, the relationship between dependent and independent variables can be considered to be linear, assuming that the equation of the line from which the estimators are obtained is valid. However, there are situations in which the linearity cannot be maintained in the relationships between the variables. Thus, other non-linear functions must be used to represent them. The non-linear strategy of modelling allows us to perform, in an interactive way, the identification, estimation and validation procedures as well as the application of the models. From this point of view, it is possible to cover a large number of possibilities in function of the different characteristics of the variables involved. In this way, different models, such as those involving fixed independent variables, random independent variables, qualitative variables or autocorrelated errors can be used. This paper presents some theoretical aspects which should be taken into account during the process of fitting non-linear models, whose aim is to obtain valid relationships between variables (AU)
