Knowledge spirals, situational leadership and informal learning applied on b-learning methodology

The methodology “b-learning” is a new teaching scenario and it requires the creation, adaptation and application of new learning tools searching the assimilation of new collaborative competences. In this context, it is well known the knowledge spirals, the situational leadership and the informal learning. The knowledge spirals is a basic concept of the knowledge procedure and they are based on that the knowledge increases when a cycle of 4 phases is repeated successively.1) The knowledge is created (for instance, to have an idea); 2) The knowledge is decoded into a format to be easily transmitted; 3) The knowledge is modified to be easily comprehensive and it is used; 4) New knowledge is created. This new knowledge improves the previous one (step 1). Each cycle shows a step of a spiral staircase: by going up the staircase, more knowledge is created. On the other hand, the situational leadership is based on that each person has a maturity degree to develop a specific task and this maturity increases with the experience. Therefore, the teacher (leader) has to adapt the teaching style to the student (subordinate) requirements and in this way, the professional and personal development of the student will increase quickly by improving the results and satisfaction. This educational strategy, finally combined with the informal learning, and in particular the zone of proximal development, and using a learning content management system own in our University, gets a successful and well-evaluated learning activity in Master subjects focused on the collaborative activity of preparation and oral exhibition of short and specific topics affine to these subjects. Therefore, the teacher has a relevant and consultant role of the selected topic and his function is to guide and supervise the work, incorporating many times the previous works done in other courses, as a research tutor or more experienced student. Then, in this work, we show the academic results, grade of interactivity developed in these collaborative tasks, statistics and the satisfaction grade shown by our post-graduate students.

Aprender conociendo a las personas usuarias de los servicios

Se presentan tres experiencias de innovación docente realizadas en la asignatura de Iniciación a las Habilidades Profesionales, primer curso del Grado en Trabajo Social, Universidad de Alicante. Objetivos: 1) Implicar en la docencia a las personas usuarias de los servicios, considerándolos expertos por su experiencia personal con Trabajadores Sociales y con la sociedad en general. 2) Proporcionar un contexto de aprendizaje que permita conocer, comprender y aprender a comunicarse profesionalmente con personas usuarias de servicios. Metodología: Aprendizaje significativo basado en la interacción con personas usuarias de los servicios con tres modalidades: a) Diseño conjunto de actividades de enseñanza-aprendizaje entre una entidad social y el profesorado de la asignatura Iniciación a las Habilidades Profesionales del Grado en Trabajo Social de la Universidad de Alicante; b) Diseño con enfoque multidisciplinar (profesorado de Trabajo Social con el profesorado de Ciencias de la Actividad Física y Deporte) y la entidad social; c) Diseño internacional con participación de las universidades Queen’s University, Belfast (Northern Ireland) (coordinadora del proyecto) junto con las universidades de Ljubljana (Slovenia) y Alicante. Los resultados proporcionan evidencias sobre la pertinencia de la colaboración docente de personas expertas por su experiencia y de la utilización de una metodología docente basada en el aprendizaje significativo para la adquisición de competencias.

Estudio de las preferencias de los estudiantes de 4º de Grado en Enfermería sobre su futuro profesional e intención de emigrar

Introducción y objetivos: Conocer y analizar las preferencias laborales y la intención de emigrar de los estudiantes de 4º de Grado en Enfermería de la Universidad de Murcia (España). Método: Estudio de diseño descriptivo concurrente e incidental, previo análisis bibliográfico. Se incluyó 37 test. Los participantes recibieron personalmente una encuesta de variables sociodemográficas y de intención de futuro. El análisis estadístico de los datos se realizó mediante el SPSS 15.0. Resultados: De los 37 encuestados el 35,1% fueron varones y el 64,9% mujeres, con edades comprendidas entre 21 y 50 años. La mayoría de encuestados (94,6%) conoce al menos un idioma. La primera intención de futuro mayoritaria es trabajar en España (40,5%), seguida de preparar la especialización (EIR) (35,1%); la segunda intención muestra las mismas preferencias que la primera. En ambos casos emigrar lo eligió el 15%. No dominar ningún idioma es factor excluyente para emigrar, aunque saber algún idioma no es determinante para emigrar. Todos los encuestados que eligieron emigrar son menores de 25 años. Ninguno de los mayores de 25 años eligió como primera opción preparar la especialización, siendo en los menores de 25 años la opción preferida. Conclusiones: Los jóvenes enfermeros españoles deciden desarrollar su profesión fuera de España impulsados más por una necesidad que al interés por trabajar en el extranjero. Los órganos gestores españoles deberían poner en marcha programas que fomentasen la rápida inserción laboral de los jóvenes enfermeros en su país.

Logic-Based Outer-Approximation Algorithm for Solving Discrete-Continuous Dynamic Optimization Problems

We present an extension of the logic outer-approximation algorithm for dealing with disjunctive discrete-continuous optimal control problems whose dynamic behavior is modeled in terms of differential-algebraic equations. Although the proposed algorithm can be applied to a wide variety of discrete-continuous optimal control problems, we are mainly interested in problems where disjunctions are also present. Disjunctions are included to take into account only certain parts of the underlying model which become relevant under some processing conditions. By doing so the numerical robustness of the optimization algorithm improves since those parts of the model that are not active are discarded leading to a reduced size problem and avoiding potential model singularities. We test the proposed algorithm using three examples of different complex dynamic behavior. In all the case studies the number of iterations and the computational effort required to obtain the optimal solutions is modest and the solutions are relatively easy to find.

Teaching as a fractal: from experience to model

The aim of this work is to improve students’ learning by designing a teaching model that seeks to increase student motivation to acquire new knowledge. To design the model, the methodology is based on the study of the students’ opinion on several aspects we think importantly affect the quality of teaching (such as the overcrowded classrooms, time intended for the subject or type of classroom where classes are taught), and on our experience when performing several experimental activities in the classroom (for instance, peer reviews and oral presentations). Besides the feedback from the students, it is essential to rely on the experience and reflections of lecturers who have been teaching the subject several years. This way we could detect several key aspects that, in our opinion, must be considered when designing a teaching proposal: motivation, assessment, progressiveness and autonomy. As a result we have obtained a teaching model based on instructional design as well as on the principles of fractal geometry, in the sense that different levels of abstraction for the various training activities are presented and the activities are self-similar, that is, they are decomposed again and again. At each level, an activity decomposes into a lower level tasks and their corresponding evaluation. With this model the immediate feedback and the student motivation are encouraged. We are convinced that a greater motivation will suppose an increase in the student’s working time and in their performance. Although the study has been done on a subject, the results are fully generalizable to other subjects.