Networks of PhD Students and Academic Performance: A Comparison across Countries

In this article we compare regression models obtained to predict PhD students’ academic performance in the universities of Girona (Spain) and Slovenia. Explanatory variables are characteristics of PhD student’s research group understood as an egocentered social network, background and attitudinal characteristics of the PhD students and some characteristics of the supervisors. Academic performance was measured by the weighted number of publications. Two web questionnaires were designed, one for PhD students and one for their supervisors and other research group members. Most of the variables were easily comparable across universities due to the careful translation procedure and pre-tests. When direct comparison was not possible we created comparable indicators. We used a regression model in which the country was introduced as a dummy coded variable including all possible interaction effects. The optimal transformations of the main and interaction variables are discussed. Some differences between Slovenian and Girona universities emerge. Some variables like supervisor’s performance and motivation for autonomy prior to starting the PhD have the same positive effect on the PhD student’s performance in both countries. On the other hand, variables like too close supervision by the supervisor and having children have a negative influence in both countries. However, we find differences between countries when we observe the motivation for research prior to starting the PhD which increases performance in Slovenia but not in Girona. As regards network variables, frequency of supervisor advice increases performance in Slovenia and decreases it in Girona. The negative effect in Girona could be explained by the fact that additional contacts of the PhD student with his/her supervisor might indicate a higher workload in addition to or instead of a better advice about the dissertation. The number of external student’s advice relationships and social support mean contact intensity are not significant in Girona, but they have a negative effect in Slovenia. We might explain the negative effect of external advice relationships in Slovenia by saying that a lot of external advice may actually result from a lack of the more relevant internal advice

Embodied Autonomy in Digital Ecosystems: From Bio-Inspired Agents to Cognitive Systems

This paper proposes to promote autonomy in digital ecosystems so that it provides agents with information to improve the behavior of the digital ecosystem in terms of stability. This work proposes that, in digital ecosystems, autonomous agents can provide fundamental services and information. The final goal is to run the ecosystem, generate novel conditions and let agents exploit them. A set of evaluation measures must be defined as well. We want to provide an outline of some global indicators, such as heterogeneity and diversity, and establish relationships between agent behavior and these global indicators to fully understand interactions between agents, and to understand the dependence and autonomy relations that emerge between the interacting agents. Individual variations, interaction dependencies, and environmental factors are determinants of autonomy that would be considered. The paper concludes with a discussion of situations when autonomy is a milestone

La Autogestión del aprendizaje y la autonomía e iniciativa personal = The self-regulation of learning and autonomy and personal Initiative

En esta investigación se trata de vincular la autogestión del aprendizaje con el desarrollo de la autonomía personal, la cual favorece el aprendizaje a lo largo de la vida. Partimos, en este proyecto de investigación, de la hipótesis de que la autogestión del aprendizaje es un elemento multidimensional cuya mejora revierte de forma positiva en el desarrollo de la autonomía e iniciativa personal. En esta comunicación se presentan los resultados obtenidos en la aplicación de la fase piloto de un proyecto más amplio, en el que se ha recogido información a través de autoinforme sobre las distintas estrategias y aspectos de la autogestión del aprendizaje y sobre la autonomía e iniciativa personal. Los resultados indican que, en general, hay una relación significativa positiva moderada entre las estrategias de aprendizaje y la autonomía, lo que confirma la importancia de ambos aspectos para favorecer el desarrollo integral de los estudiantes. El fomento de las estrategias de aprendizaje hace que los estudiantes desarrollen la autonomía. A su vez, exponer a los estudiantes a situaciones de aprendizaje que fomenten su autonomía mejora su competencia para aprender