background: the purposes of this study were to develop a problem-based learning program for nursing student’s education and to evaluate the program after its implementation. methods: an intervention study carried out on 27 third year undergraduate nursing students in the nursing and midwifery faculty of kashan university of medical sciences. problem-based learning method was used for one group ...

multiple intelligences (mi), second/foreign (l2) proficiency and gender are postulated to contribute to language learning strategies (lls). this study, first, examined whether there was any relationship between iranian efl learners’ lls, on the one hand, and their mi, l2 proficiency, on the other hand. in so doing, it explored the relationship of the overall l2 strategy as well as individual st...

In this paper, we propose a method of estimating individual micro data from aggregated open data based on semisupervised learning and conditional probability. Firstly, the proposed method collects aggregated open data and support data, which are related to the individual micro data to be estimated. Then, we perform the locality sensitive hashing (LSH) algorithm to find a subset of the support d...

the article suggests an algorithm for regular classifier ensemble methodology. the proposed methodology is based on possibilistic aggregation to classify samples. the argued method optimizes an objective function that combines environment recognition, multi-criteria aggregation term and a learning term. the optimization aims at learning backgrounds as solid clusters in subspaces of the high-dim...

In this paper we propose an adaptive algorithm based on a combination of selective reproduction, individual learning, and social learning. Social learning consists of a simple facilitation process that regulates the strength of individual learning on the basis of the number of individuals located nearby. By testing this model in an experimental scenario, in which a population of 10 mobile robot...