{"title":"Design of Augmented Interactive Video Based on Script Engine","authors":"Junrui Liu, Y. Zheng, Xuefeng Jiang","doi":"10.1145/3397453.3397455","DOIUrl":null,"url":null,"abstract":"The Online learning environments such as Massive Open Online Courses (MOOC) can assemble a great amount of teaching resources and tools, such as videos, rich media documents, electronic courseware, learning managements, knowledge managements, virtual experiments and so on. How to improve the utilization rate of these high-quality teaching resources is a hotspot of current online learning research. In view of the inadequacy of online video interaction, we start with the principle of E-Learning, and analyze the interactive modes. Aiming to the demanding of knowledge push and self-directed learning driven by \"human-computer-network\", the interactive behavior of learning is analyzed, the interactive video response strategy is studied and the interactive video infrastructure is designed. The main work includes the research of key technologies of interaction and video synchronization control, the design of interaction script engine and the implementation of interactive video player, so as to advance self-regulated learning, social interaction and the student engagement.","PeriodicalId":129569,"journal":{"name":"Proceedings of the International Workshop on Artificial Intelligence and Education","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Workshop on Artificial Intelligence and Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3397453.3397455","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The Online learning environments such as Massive Open Online Courses (MOOC) can assemble a great amount of teaching resources and tools, such as videos, rich media documents, electronic courseware, learning managements, knowledge managements, virtual experiments and so on. How to improve the utilization rate of these high-quality teaching resources is a hotspot of current online learning research. In view of the inadequacy of online video interaction, we start with the principle of E-Learning, and analyze the interactive modes. Aiming to the demanding of knowledge push and self-directed learning driven by "human-computer-network", the interactive behavior of learning is analyzed, the interactive video response strategy is studied and the interactive video infrastructure is designed. The main work includes the research of key technologies of interaction and video synchronization control, the design of interaction script engine and the implementation of interactive video player, so as to advance self-regulated learning, social interaction and the student engagement.
大规模在线开放课程(Massive Open Online Courses, MOOC)等在线学习环境可以集合大量的教学资源和工具,如视频、富媒体文档、电子课件、学习管理、知识管理、虚拟实验等。如何提高这些优质教学资源的利用率是当前在线学习研究的热点。针对在线视频互动的不足,从E-Learning的原理入手,分析了互动模式。针对“人机网络”驱动下知识推送和自主学习的需求,分析了学习的交互行为,研究了交互视频响应策略,设计了交互视频基础设施。主要工作包括交互和视频同步控制关键技术的研究、交互脚本引擎的设计和交互式视频播放器的实现,以促进自主学习、社会互动和学生参与。