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首页> 外文期刊>Interactive technology and smart education >Enabling user to user interactions in web lectures with history-aware user awareness
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Enabling user to user interactions in web lectures with history-aware user awareness

机译：在具有历史意识的用户意识的情况下，使用户在网络讲座中进行交互

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摘要

Purpose - The purpose of this paper is to present a user interface for web lectures for engaging with other users while working with video based learning content. The application allows its users to ask questions about the content and to get answers from those users that currently Online are more familiar with it. The filtering is based on the evaluation of past user interaction data in time-based media. Design/methodology/approach - The work is implemented as a prototype application in the context of the Opencast Matterhorn project - an open source based project for producing, managing and distributing academic video content. The application compares users viewing behavior and allows communication with others that are good candidates to answer questions. Findings - Different filtering approaches for identifying suitable candidates are being discussed that foster past interactions in time-based media. Practical implications - The paper shows that web lectures can benefit from user awareness ideas and presents examples of how learners can benefit from the knowledge of other users who are working with the same video based content. Originality/value - User awareness has become an important feature in today's Web 2.0 experience. The paper discusses different user awareness models and explains how they can be adapted to time-based video content. The presented work is available as a plug-in for the Opencast Matterhorn project.
机译：目的-本文的目的是为网络讲座提供一个用户界面，以便在处理基于视频的学习内容时与其他用户互动。该应用程序允许其用户提出有关内容的问题，并从当前在线更熟悉的用户那里获得答案。过滤基于对基于时间的媒体中过去的用户交互数据的评估。设计/方法/方法-该工作在Opencast Matterhorn项目的背景下作为原型应用程序实现，该项目是一个基于开源的项目，用于生产，管理和分发学术视频内容。该应用程序比较用户的观看行为，并允许与其他很好的候选人进行交流以回答问题。调查结果-正在讨论用于确定合适候选人的不同过滤方法，以促进过去基于时间的媒体中的互动。实际意义-本文显示了网络讲座可以从用户意识中受益，并举例说明学习者如何从使用相同基于视频内容的其他用户的知识中受益。原创性/价值-用户意识已成为当今Web 2.0体验的重要功能。本文讨论了不同的用户意识模型，并解释了如何将其适应基于时间的视频内容。呈现的作品可作为Opencast Matterhorn项目的插件获得。

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