نتایج جستجو برای: focused feedback

تعداد نتایج: 328466  

2011
Aaron W Bernard Nicholas E Kman Sorabh Khandelwal

OBJECTIVE Feedback is a technique used in medical education to help develop and improve clinical skills. A comprehensive review article specifically intended for the emergency medicine (EM) educator is lacking, and it is the intent of this article to provide the reader with an in-depth, up-to-date, and evidence-based review of feedback in the context of the EM clerkship. METHODS The review ar...

Journal: :مجله علوم اعصاب شفای خاتم 0
khalegh mina shiri faculty of education and psychology, university of tabriz, tabriz, iran. soheila khazaei faculty of education and psychology, university of tabriz, tabriz, iran.

this study compared focus attention (self-focused attention and other focused attention) in social phobia patients and normal subjects. in this study with causal–comparative method, 100 subjects with social phobia and 100 normal individuals have been compared. subjects were selected through cluster sampling among tabriz university students. data scale of social phobia and focus attention of the...

Journal: :journal of crop protection 2014
hamid hatami maleki reza darvishzadeh

black stem is one of the most important fungal diseases of sunflower which is caused by phoma macdonaldii. this research was conducted to clarify the interactions between a few breeder lines and wild-type accessions of sunflower with seven isolates of phoma macdonaldii, the causal agent, under controlled conditions. the experiment was carried out in randomized complete block design with three r...

2017
Matthew K. Miller Regan L. Mandryk Max V. Birk Ansgar E. Depping

Video chat is a popular form of computer-mediated communication in a range of contexts from online job interviews to chatting with friends. Although seeing your own video feedback is the predominant interface design, self-awareness research suggests that seeing oneself could induce self-consciousness and affect interaction. We created a custom video chat application and asked pairs of strangers...

2017
Macda Gerard Alan Fossa Patricia H Folcarelli Jan Walker Sigall K Bell

BACKGROUND Patients are increasingly asking for their health data. Yet, little is known about what motivates patients to engage with the electronic health record (EHR). Furthermore, quality-focused mechanisms for patients to comment about their records are lacking. OBJECTIVE We aimed to learn more about patient experiences with reading and providing feedback on their visit notes. METHODS We...

2008
Maite Lopez-Garate Alberto Lozano-Rodero Luis M. Matey

This paper describes a proposal to build an intelligent feedback selection system for Virtual Reality-based training simulators. The system is aimed at generating multimodal feedback in realtime for advising the students while training with the simulator. Focused on driving tasks, we analyze how to customize the system to exhibit different behaviors. We examine educational and human factors tha...

2016
Ladislav Peska

Our work is generally focused on recommending for small or medium-sized e-commerce portals, where explicit feedback is absent and thus the usage of implicit feedback is necessary. Nonetheless, for some implicit feedback features, the presentation context may be of high importance. In this paper, we present a model of relevant contextual features affecting user feedback, propose methods leveragi...

2010
David Nicol

Student surveys across the world have highlighted that students are dissatisfied with the feedback they receive on their assignments and many institutions have been putting plans in place to address this issue. Much of this work has focused on improving the quality of written comments. This paper takes a different perspective. It argues that the many diverse expressions of dissatisfaction with ...

2009
Ben Carterette Praveen Chandar Aparna Kailasam Divya Muppaneni Sree Lekha Thota

The Information Retrieval Lab at the University of Delaware participated in the Relevance Feedback track at TREC 2009. We used only the Category B subset of the ClueWeb collection; our preprocessing and indexing steps are described in our paper on ad hoc and diversity runs [10]. The second year of the Relevance Feedback track focused on selection of documents for feedback. Our hypothesis is tha...

2017
Ladislav Peska Peter Vojtás

In this paper, we present our work in progress towards employing complex user feedback and its context in recommender systems. Our work is generally focused on small or medium-sized e-commerce portals. Due to the nature of such enterprises, explicit feedback is unavailable, but implicit feedback can be collected in both large amount and rich variety. However, some perceived values of implicit f...

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