One skill that student teachers need to develop during their academic studies is the capacity to produce accurate and well-organized texts. This study reports on the comparative impact of metalinguistic feedback (MLF), teacher interactive feedback (TIF(, and the peer-feedback (PF) on the accuracy and organization of postgraduate ELT student teachers’ writing. The participants were 57 postgradua...

abstract the extent to which teachers’ written corrective feedback (wcf) is conducive to esl learners’ improvement has been discussed since truscott’s claim in 1996. the mentioned debate continues because there has been lots of contrastive research studies with different results. this paper presents the results of a 2-month study of the effectiveness of wcf to 65 low intermediate iranian learne...

The feedback-related negativity (FRN) provides a reliable ERP marker of performance monitoring (PM). It is usually larger for negative compared to positive feedback, and for unexpected relative to expected feedback. In two experiments, we assessed whether these effects could be modulated by goal relevance, defined as feedback informativeness (reliability) and/or impact on a person's goals. EEG ...

dear editor, shahsavari et al. have presented an excellent account of the development and psychometric testing of a clinical nurse instructor evaluation tool.[1] certainly, the evaluation tool has been put through a rigorous process that is made up of the steps typically necessary in the evaluation of tool development. however, a caveat may be that the tool might not have received input from al...

Relevance feedback is the retrieval task where the system is given not only an information need, but also some relevance judgement information, usually from users’ feedback for an initial result list by the system. With different amount of feedback information available, the optimal feedback strategy might be very different. In TREC Relevance Feedback task, the system is given different sets of...

This paper reports a new document retrieval method using non-relevant documents. From a large data set of documents, we need to find documents that relate to human interesting in as few iterations of human testing or checking as possible. In each iteration a comparatively small batch of documents is evaluated for relating to the human interesting. This method is called relevance feedback. The r...

Learning complex skills by repeating and generalizing expert behavior is a fundamental problem in robotics. However, the usual approaches do not answer the question of what are appropriate representations to generate motion for a specific task. Since it is time-consuming for a human expert to manually design the motion control representation for a task, we propose to uncover such structure from...