L2 written corrective feedback has been investigated from different perspectives in SLA research (e.g. Ahmadian & Tajabadi, 2015; Bitchener & Knoch, 2010; Ferris, 2006). Taking the cognitive and sociocultural paradigms into account, the aims of the current study are twofold: Firstly, it attempts to find if corrective feedback is effective in improving the linguistic accuracy of L2 learners' ten...

During face-to-face conversation, people use visual feedback (e.g., head and eye gesture) to communicate relevant information and to synchronize rhythm between participants. When recognizing visual feedback, people often rely on more than their visual perception. For instance, knowledge about the current topic and from previous utterances help guide the recognition of nonverbal cues. The goal o...

Dual-process models of psychopathy postulate two etiologically relevant processes. Their involvement in feedback processing and its neural correlates has not been investigated so far. Multi-channel EEG was collected while healthy female volunteers performed a time-estimation task and received negative or positive feedback in form of signs or emotional faces. The affective-interpersonal factor F...

The neural basis of feedback expectation, which is crucial in learning theory, has only been minimally studied. Stimulus-preceding negativity (SPN), an ERP component that appears prior to the presentation of feedback, has been proposed as related to feedback expectation. The present study showed, for the first time, amplitude modulations of the SPN component during learning acquisition in a tri...

In this paper we report on the application of two contrasting types of relevance feedback for web retrieval. We compare two systems; one using explicit relevance feedback (where searchers explicitly have to mark documents relevant) and one using implicit relevance feedback (where the system endeavours to estimate relevance by mining the searcher's interaction). The feedback is used to update th...

Keyword Spotting is a well-known method in document image retrieval. In this method, Search in document images is based on query word image. In this Paper, an approach for document image retrieval based on keyword spotting has been proposed. In proposed method, a framework using relevance feedback is presented. Relevance feedback, an interactive and efficient method is used in this paper to imp...

PURPOSE To determine if video review of student performance during patient encounters is an effective tool for medical student learning. METHODS MULTIPLE BIBLIOGRAPHIC DATABASES THAT INCLUDE MEDICAL, GENERAL HEALTH CARE, EDUCATION, PSYCHOLOGY, AND BEHAVIORAL SCIENCE LITERATURE WERE SEARCHED FOR THE FOLLOWING TERMS: medical students, medical education, undergraduate medical education, educatio...

For consecutive model based control design approximate identi cation of lin ear models should be performed on the basis of a feedback relevant criterion compatible with the control design For an H norm based control design a procedure is presented to estimate a possibly unstable and feedback controlled plant by using an H norm based feedback relevant identi cation criterion It is shown that the...

Relevance feedback has been an indispensable component for multimedia retrieval systems. In this paper, we present an adaptive pattern discovery method, which addresses relevance feedback by interactively discovering meaningful patterns of relevant objects. To facilitate pattern discovery, we first present a dynamic feature extraction method, which aims to alleviate the curse of dimensionality ...

One of the main challenges Information Retrieval (IR) systems face nowadays originates from the semantic gap problem: the semantic difference between a user’s query representation and the internal representation of an information item in a collection. The gap is further widened when the user is driven by an ill-defined information need, often the result of an anomaly in his/her current state of...