نتایج جستجو برای: presence learning
تعداد نتایج: 1163590 فیلتر نتایج به سال:
Social presence is a key approach to activating interactions in Computer-Supported Collaborative Learning (CSCL), but its approaches, definitions, and evaluations have not been coherently presented in previous research. This chapter provides practical suggestions and implications regarding CSCL to help motivate social interactions among students and ensure effective and attractive learning. Thr...
There has been increasing attention in IS literature around the technology-business relationship and the concept of social alignment. However, little attention has been given to how or why social alignment should be developed. Further examining the concept this paper explores the development of social alignment within an innovation context. Using canonical action research the study is based wit...
By default, presence delivered using the presence event package for the Session Initiation Protocol (SIP) is represented in the Presence Information Data Format (PIDF). A PIDF document contains a set of elements, each representing a different aspect of the presence being reported. When any subset of the elements change, even just a single element, a new document containing the full set of eleme...
This study aims to investigate the extent to which social presence (as an element of Community of Inquiry (CoI) framework exists in virtual learning environments of the present study. The population of the study consisted of 107 virtual students at B.S. level at the Iran University of Science and Technology and Khajeh Nasir Toosi University of Technology. A questionnaire was developed by the re...
In supervised learning one wishes to identify a pattern present in a joint distribution P , of instances, label pairs, by providing a function f from instances to labels that has low risk EP `(y, f(x)). To do so, the learner is given access to n iid samples drawn from P . In many real world problems clean samples are not available. Rather, the learner is given access to samples from a corrupted...
We investigate the combination of two major challenges in computational learning: dealing with huge amounts of irrelevant information and learning from noisy data. It is shown that large classes of Boolean concepts that depend only on a small fraction of their variables—so-called juntas—can be learned efficiently from uniformly distributed examples that are corrupted by random attribute and cla...
this paper proposes an efficient tracking method for velocity control of an electro-hydraulic servo system (ehss) in the presence of flow nonlinearities and internal friction. the tracking method controller is a kind of feedback error learning structure. in the proposed method, the feedback error learning (fel) algorithm is used to control the velocity. there is no need to compute the system ja...
We have conducted an fMRI research using virtual reality to study the level of presence that subjects experience during the navigation through a virtual environment, in comparison with the presence felt during a video or a photograph viewing task. The fMRI results have not been analyzed yet, but responses to presence questionnaires have been analyzed. Presence levels are similar to those obtain...
In this article, we consider market places as social places. Social places provide social presence and interaction. Virtual market places often lack in these social factors. Community support tools, such as chat systems or newsgroups try to fill this gap. We argue that a new architecture is needed that brings together customers with common interests. We propose a combined system called GAMA-Mal...
We study effects of social processes’ representation in Internet auctions using laboratory experiments. The inability of participating parties to learn about each others’ bidding behaviour and to extend their comprehension beyond what is presented in auction sites today decreases the social influence compared to traditional face-to-face auctions. This reality is about to change since new intera...
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