the objective of the present paper is to shed some light on peer feedback in efl writing courses. in recent years, with regard to teaching writing, there has been a total shift of approach, from product-orientation to process-orientation. a key component of the latter is peer assessment in which learners read each other's compositions and provide feedback to the writer, based on the teache...

researchers have suggested that interactional feedback which is between teacher and learner during their writing is associated with l2 learning because it prompts learners to notice l2 forms. this paper reports a classroom-based study that investigated the role of feedback in socio-cultural theory. in this study, 12 efl learners performed on three writing tasks and were provided with a three-st...

This paper addresses the direct manipulation of cognitive maps. It describes its components and manipulation and proposes an object model that defines the properties relevant to build elaborated feedback. It also presents a metaphor based feedback dialect that is able to communicate the complex constraints of cognitive maps.

Intelligent tutoring systems emerge from a multidisciplinary field of study that draws upon artificial intelligence, computer science, and cognitive science to create instructional technologies that offer immediate feedback and individualized instruction. Broadly construed, most intelligent tutoring systems can be characterized as having two loops: an outer loop and an inner loop. The outer loo...

In this paper we present Carnegie Mellon University’s submission to the TREC 2009 Relevance Feedback Track. In this submission we take a classification approach on document pairs to using relevance feedback information. We explore using textual and non-textual document-pair features to classify unjudged documents as relevant or non-relevant, and use this prediction to re-rank a baseline documen...

Relevance feedback is a technique used in interactive Information Retrieval (IR) systems to enable a user to provide additional information to help the system identify more relevant documents. The additional information is provided in the form of relevance judgements on retrieved documents. One of the most advanced relevance feedback technique in operative IR system is based on a probabilistic ...

Feature feedback is an alternative to instance labeling when seeking supervision from human experts. Combination of instance and feature feedback has been shown to reduce the total annotation cost for supervised learning. However, learning problems may not benefit equally from feature feedback. It is well understood that the benefit from feature feedback reduces as the amount of training data i...

This paper describes work on a system that incorporates haptic feedback into digital sound editing software. Currently, the most common methods for navigating through digital audio are with comptuer keyboards and mice. Occasionally, peripheral consoles may be used that provide passive knobs. In each of these cases, the user relies on visual and aural feedback, without any haptic feedback relate...

Globular clusters in galaxies have a mutual feedback with the environment, which is tuned by their dynamical evolution. This feedback may be the explanation of various features of both the globular cluster system and the host galaxy. Relevant examples of these are the radial distribution of globulars and the violent initial activity of galaxies as AGN.

introduction: feedback cards are recommended as a feasible tool for structured written feedback delivery in clinical education while effectiveness of this tool on the medical students’ performance is still questionable. the purpose of this study was to compare the effects of structured written feedback by cards as well as verbal feedback versus verbal feedback alone on the clinical performance ...