一种面向Chrome浏览器的视频云笔记插件

发布时间：2018-04-20 06:00

  本文选题：开放式网络教学平台 + 互联网教学　； 参考：《计算机科学》2017年04期

【摘要】：随着互联网的发展以及edx,Coursea和Udacity等开放式网络教学平台的推广,互联网教学逐渐兴起并广泛普及。互联网教学中学生获取知识的一个主要媒介是互联网课程中的教学视频资源。然而,当前的互联网教学辅助平台中存在一个明显的不足:学生无法及时针对教学视频细节在云端记录并分享笔记或寻求帮助。这将会影响学生对视频形式的教学内容的理解,也不利于形成优质的学习生态系统。由此,设计了一种面向Chrome浏览器的视频云笔记工具,并采用了HTML5,Node.js,MongoDB等关键技术对其进行了实现。该工具能够针对互联网教学视频资源的细节内容记录、发布笔记并在云端共享,有利于学生对视频教学资源中细节的整理、理解、讨论和最终掌握;同时该工具可以根据学生人群在使用工具的过程中产生的数据对视频内容进行一定程度的解析,挖掘视频教学资源中的关键点,从而降低学生获取关键知识的难度,辅助学生的学习过程。最后,进行了相关的实例研究,结果证明了所提出的分析设计方案的可行性和有效性。
[Abstract]:With the development of the Internet and the popularization of the open network teaching platform such as Udacity and Coursea, the Internet teaching is gradually rising and popularizing. One of the main media for students to acquire knowledge in Internet teaching is the teaching video resources in Internet courses. However, there is an obvious shortcoming in the current Internet instructional aid platform: students cannot record and share notes or seek help in the cloud in time for the details of teaching videos. This will affect the students' understanding of the video form of teaching content, and will not be conducive to the formation of a high-quality learning ecosystem. Therefore, a Chrome browser-oriented video cloud note-taking tool is designed and implemented with the key technologies such as HTML5, Node.js, MongoDB and so on. The tool can record the details of the Internet teaching video resources, publish notes and share them in the cloud, which is helpful for students to organize, understand, discuss and master the details in the video teaching resources. At the same time, the tool can analyze the video content to a certain extent according to the data generated by the students in the process of using the tool, and mine the key points in the video teaching resources, thus reducing the difficulty for the students to obtain the key knowledge. Assist students in their learning process. Finally, a case study is carried out, and the results show that the proposed analytical design scheme is feasible and effective.
【作者单位】： 北京大学信息科学技术学院软件研究所;高可信软件技术教育部重点实验室;
【基金】：国家重点基础研究发展规划973项目(2011CB302604) 国家自然科学基金联合基金项目(U1201252) 国家自然科学创新研究群体科学基金(61421091)资助
【分类号】：TP393-4;G434
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本文编号：1776525