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(Spain). Within his research fields are the development and application of Data Envelopment Analysis to the evaluation of public policies, the analysis of the functioning and funding of high education institutions, as well as the analysis of the impacts of information and communication technologies in the learning and teaching processes.

In this paper, Bayesian‐Networks (BN) and Ant Colony Optimization (ACO) techniques are combined to find the best path through a graph representing all available itineraries to acquire a professional competence. The combination of these methods allows us to design a dynamic learning path, useful in a rapidly changing world. One of the most important advances in this work is that the amount of pheromones released is variable. This amount is calculated by taking into account the results acquired in the last completed course in relation to the minimum score required. By using ACO and BN, a fitness function, responsible of automatically selecting the next course in the learning graph, is defined. This is done by generating a path that maximizes the probability of each user's success in the course. Therefore, the path can change to improve learners’ average performance, taking into account the pedagogical weight of each learning unit and the social behavior of the system. Furthermore, a discrete dynamical system is obtained and its stability is studied. How to wrap an existing Learning Management System is also described in this work. Finally, an experiment compares this approach with the old on‐line learning system being used previously.

El sistema del mercado compuesto por el entorno, las organizaciones en competencia y los consumidores/compradores realizan una interacción permanente que se concreta en una trayectoria dinámica. Si el mercado se divide en mercado actual y mercado potencial, el cambio de los consumidores/compradores del uno al otro o simplemente la entrada al mercado actual de una organización cualquiera suponen también un proceso dinámico que depende de variables exógenas al sistema y del valor de los parámetros de ajuste, cuyo origen está en la manera de comportamiento de los individuos que componen el sistema estudiado. La sensibilidad y el estudio de esos valores de los parámetros requieren conocer la posible tendencia del sistema, así como el comportamiento del mismo, dependiendo de la región paramétrica en la que se encuentre.

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