introduction: feedback is very important in education and can help quality in the training process and orient the trainees in clinical contexts. this study aimed to assess the residents’ points of view about feedback in clinical education at shiraz university of medical sciences. methods: the sample of this study included 170 medical residents attending medical workshops in shiraz university of...

Asabasis for a systematic approach to investigating the effects ofwritten corrective feedback, this article presents a typology of the different types available to teachers and researchers. The typology distinguishes two sets of options relating to (1) strategies for providing feedback ( for example, direct, indirect, or metalinguistic feedback) and (2) the students’ response to the feedback ( ...

recent interaction studies havefocused on the relationship between interactional feedback and l2 development.despite the large body of knowledge in this regard, few studies have examinedlearners’ preferences for interactional feedback. besides, different findingshave been reported concerning learners’ preferences for feedback and none hasexamined the factors accounting for the variation in the ...

since the emergence of the process-oriented approach in second language writing instruction, the issues of writing instruction have been predominantly concerned with what and how error feedback should be given to the students’ writing. the present study investigated the effect of explicit corrective feedback on writing accuracy of iranian intermediate efl learners (n = 44) in hamedan islamic az...

Learning user perception of an image is a challenging issue in interactive content-based image retrieval (CBIR) systems. These systems employ relevance feedback mechanism to learn user perception in terms of a set of model-parameters and in turn iteratively improve the retrieval performance. Since the quantity of user feedback is expected to be small, learning the user’s perception essentially ...

Cluster-based pseudo-relevance feedback (PRF) is an effective approach for searching relevant documents for relevance feedback. Standard approach constructs clusters for PRF only on the basis of high similarity between retrieved documents. The standard approach works quite well if the retrieval bias of the retrieval model does not create any effect on the retrievability of documents. In our exp...

The relevance feedback approach is a powerful technique in content-based image retrieval (CBIR) tasks. In past years, many intraquery learning techniques have been proposed to solve the relevance feedback problem. Among these techniques, Support Vector Machines (SVM) have shown promising results in the area. More specifically, in relevance feedback applications the SVMs are typically been used ...

In this paper, we present a self-adjustable metadatabase aiming at improving the performance of the relevance feedback module extensively used in content-based image retrieval systems. Our metadatabase provides a mechanism for accumulating the optimized relevance feedback records (which are called metadata records) obtained from previous queries. Each metadata record in the metadatabase include...

The present study examined reactions toward repeated self-relevant feedback. Participants in a community health screening received feedback about their cholesterol level on two separate occasions. Reactions to the first feedback were examined with regard to feedback valence and expectedness. The findings showed that negative feedback was devalued, but only when it was unexpected. Feedback consi...

After introducing commutativity concept and summarizing the relevant literature, this work is focused on the commutativity of feedback conjugates. It is already known that a linear time-varying differential system describing a single input-single output dynamical system is always commutative with its constant gain feedback pairs. In this article, it is proven that among the time-varying feedbac...