social learning and knowledge generation are two key factors to achieve successful natural resources co-management. social learning can be beneficial by broadcasting and transmitting experiences and problem solving ideas in a group of people. social learning networks can transmit knowledge and experiences from one node to another in the network. social learning can produce a suitable learning a...

background: team-based learning (tbl) is a structured type of cooperative learning that has growing application in medical education. this study compares levels of student learning and teaching satisfaction for a neurology course between conventional lecture and team-based learning. methods: the study incorporated 70 students aged 19 to 22 years at the school of rehabilitation. one half of the ...

In spite of the importance of representation in learning, little progress has been made toward understanding what makes representations work. This paper describes a framework for knowledge-level analysis of changes in the representation of training examples in concept learning. This a very fundamental sort of representation change; such a change alters the very space over which learning occurs ...

My dissertation research centers on application of machine learning techniques to speed up problem solving. In fact, many speed-up learning systems suffer from the utiliv problem; time after learning is greater than time before learning. Discovering how to assure that learned knowledge will in fact speed up system performance has been a focus of research in explanation-based learning (EBL). One...

In this paper we describe our machine learning approach to the generation of referring expressions. As our algorithm we use memory-based learning. Our results show that in case of predicting the TYPE of the expression, having one general classifier gives the best results. On the contrary, when predicting the full set of properties of an expression, a combined set of specialized classifiers for ...

many medical universitiesaround the world have donestunning changes in the recent years.some of these changes have been performed with the support of international organizations.they changed the traditionaltrainingprograms based on teacher- centered learning and disciplined approach to the educational course based on community needs responsivity and student-centered learning. this process is ai...

this paper illustrates the design and implementation of fain (filtering agent for internet) based on the gaia methodology and the auml notation. the proposed system generates and maintains a user profile by learning from examples that are judged and classified by the user during the training stage. a learning algorithm which is based on the baldwin effect that combines learning with evolution i...

in this paper we have proposed an approach for emotion detection in implicit texts. we have introduced a combinational system based on three subsystems. each one analyzes input data from a different aspect and produces an emotion label as output. the first subsystem is a machine learning method. the second one is a statistical approach based on vector space model (vsm) and the last one is a key...

Purpose: To determine whether learning curves can be observed with deliberate practice when the goal is to apply a consistent rate of force at 5 N/second during pressure pain threshold (PPT) testing in healthy volunteers. Methods: In this prospective study, 17 clinician participants completed PPT targeted rate-of-application testing with healthy volunteers using three different feedback paradig...