In model-based reflection, an agent contains a model of its own reasoning processes organized via the tasks the agents must accomplish and the knowledge and methods required to accomplish these tasks. Utilizing this self-model, as well as traces of execution, the agent is able to localize failures in its reasoning process and modify its knowledge and reasoning accordingly. We apply this techniq...

BACKGROUND Simulation learning has become a widely accepted and valuable methodology within nursing education. This study assessed whether student and faculty perceptions regarding simulation learning have changed since curricular integration of simulation activities within an undergraduate nursing program. METHOD Q-methodology was used to identify unique and similar perspectives of 12 facult...

There is much evidence that humans and other animals utilize a combination of model-based and model-free RL methods. Although it has been proposed that these systems may dominate according to their relative statistical efficiency in different circumstances, there is little specific evidence — especially in humans — as to the details of this trade-off. Accordingly, we examine the relative perfor...

The presentation concerns the “Minerva” project co-financed by E.U. aiming at identifying and promoting “good practice” in the design and delivery of e-learning courses (i.e., activities that teachers/tutors may use to foster social dynamics allowing participants to advance in knowledge construction). Accordingly to the principles of action-research, the project has been implemented in four sub...

Kernel learning is a popular research topic in pattern recognition and machine learning. Kernel selection is a crucial problem endured by kernel learning method in the practical applications. Many methods of finding the optimal parameters have been presented, but this kind of methods have no ability of changing the kernel structure, accordingly without changing the data distribution in kernel m...

Video lessons are increasingly adopted in education, especially in universities and lifelong learning projects. Their popularity is due to the people's familiarity with video and to other intrinsic characteristics of this medium, such as the message rapidity and its reproducibility. Accordingly, Massive Open Online Courses are gaining a prominent role in both formal and informal education and m...

Multi-agent system is one of the emerging trends in computer science. It can provide new solutions to very complex and restrictive system. The application of multi-agent systems is spreading in almost every field though e-learning is also not left untouched. E-learning has provided us with the capability of providing quality education to masses without restricting them to specific time or place...

Adaptive behavior requires an organism to evaluate the outcome of its actions, such that future behavior can be adjusted accordingly and the appropriate response selected. During associative learning, the time at which such evaluative information is available changes as learning progresses, from the delivery of performance feedback early in learning to the execution of the response itself durin...

In the future smarter territories are expected to induce transformations of many aspects of the learning processes, but how their smartness is and will be related to that of the learning ecosystems ? In this paper, by means of Principal Component Analysis, we critically analyse methods presently used to benchmark and produce University rankings, by focusing on the case study of the Italian Univ...

The process of knowledge elaboration is considered from the perspective of cognitive load theory. This theory assumes that the available knowledge structures in long-term memory (LTM) are used to organize and guide cognitive processing in complex learning. Accordingly, the role of external instructional guidance in the process of knowledge elaboration could be described as providing a substitut...