Tradicionalmente, los sistemas de evaluación automática de respuestas en texto libre se han basado únicamente en el uso de técnicas de Procesamiento de Lenguaje Natural. De esta forma se ha ido mejorando el rendimiento de estos sistemas, pero no se…

This article offers an interpretation in terms of metapoetic theory of The Wanderings of
Oisin, Yeats's first important work. Our purpose is to prove that an analysis of the poem
upon this basis can be useful to solve the semantic…

A concept of pedagogical process knowledge (PPK) is introduced to partner pedagogical content knowledge (PCK). This concept arises from observing the learning of teachers engaged in a course supporting them in introducing more inquiry-based methods into their practice. This course…

This thesis argues that Chinese firms can catch up with the technological frontier in the scope of new climate friendly energy technologies and provides a detailed study of the case of wind power.

This study aimed to trace the development of the implementation of knowledge management initiatives in the public sector institutions in Jordan. The study was compared with precedent study had been conducted in 2004. The results showed there is very little…

Even though knowledge in itself is nothing new, but how to effectively management it is a concern of all organizations, inclusive of university. In Iraq, there is concern by universities to manage knowledge scientifically in order to keep pace with…

Adaptive websites usually change as effect of user navigational actions. Most current web engineering approaches (which consider personalization) allow to detect basic user browsing behaviour (e.g. user click on a link) but don’t consider the definition of (complex) behaviour events…

The coreoid fauna from Neotropics is poorly known, especially in terms of community studies. Aiming at contributing to this knowledge, a two-year study was carried out at Parque Estadual do Turvo, Municipality of Derrubadas, state of Rio Grande do Sul,…

I propose a common framework that combines three different paradigms in machine learning: generative, discriminative and imitative learning. A generative probabilistic distribution is a principled way to model many machine learning and machine perception problems. Therein, one provides domain specific…

For a more concrete analysis of the quantification of knowledge, one must normalize the quantification of data and information. One must, without entering into excessive detail, resort to the information theory, recognizing three features that data, information and knowledge have…