test washback is generally defined as the influence of tests on teaching and learning process. inspired by messick’s consequential validity and shohamy’s critical language testing, this critical impact study explored the transformative or reproductive practices different stakeholders undertake in relation to the detrimental impacts of konkoor in iran. the participants were 60 efl teachers, a sa...

this talk will introduce the idea that talent development is related to learning where learning is the physiological process of neuro-plastic changes in the brain. to develop talents, individuals must move from novice or beginner’s status to expertise levels of knowledge or skills in a particular domain. learning depends on maximizing an individual’s potential through the experiences he or she ...

in present competitive business environment, learning organization is an important competitive advantage. along the time with its changes, cause the organization has to pay more attention to learning for improving their quality process more than the past. these changes has affected on different organizations, such as conservation environment organization (ceo). according to the monitoring role ...

In a supervised learning, the relationship between the available data and the performance (what is learnt) is not well understood. How much data to use, or when to stop the learning process, are the key questions. In the paper, we present an approach for an early assessment of the extracted knowledge (classification models) in the terms of performance (accuracy). The key questions are answered ...

This article addresses the problem of functional supervised classification of Cox process trajectories, whose random intensity is driven by some exogenous random covariable. The classification task is achieved through a regularized convex empirical risk minimization procedure, and a nonasymptotic oracle inequality is derived. We show that the algorithm provides a Bayes-risk consistent classifie...

This article addresses the problem of supervised classification of Cox process trajectories, whose random intensity is driven by some exogenous random covariable. The classification task is achieved through a regularized convex empirical risk minimization procedure, and a nonasymptotic oracle inequality is derived. We show that the algorithm provides a Bayes-risk consistent classifier. Furtherm...