摘要
大数据环境下,多媒体画面语言的研究视角、研究方法、理论和内容都发生了重要变化和革新。多媒体画面语言研究的大数据主要来源于两个方面,即利用相关软件获取图、文、声、像、交互等要素的"画面数据",以及运用相应设备和技术平台获取学习者的生物表征、外显行为和情感体验等"学习行为数据"。在此基础上,通过对画面数据和学习行为数据关系的分析,从中挖掘出多媒体画面语构规则、语义规则、语用规则及其匹配规律,以应用于多媒体学习资源设计和学习过程分析,达到优化多媒体画面设计、提高多媒体学习效果的最终目的。
In the big data environment, the research perspective, methods, theory and contents of language of multimedia design have important changes and innovations. The big data of language of multimedia design mainly include multimedia interface data and learning behavior data. The multimedia interface data refer to the quantitative expression of interface elements taken from software, such as picture, text, sound, image and interaction. The learning behavior data, retrieved from some equipment and technology platform, cover biological characterization data, overt behavior data and emotional experience data of learners. In order to optimize multimedia design and improve the effect of multimedia learning, this study, based on the analysis of the relationship between multimedia interface data and learning behavior data, explores the rules multimedia design for the of language structure, semantic rules, pragmatic rules and matching rules of design of multimedia learning resources and learning process analysis.
出处
《电化教育研究》
CSSCI
北大核心
2017年第4期59-65,共7页
E-education Research
基金
天津市哲学社会科学规划项目"多媒体画面语言学促进优质信息化教育资源发展和应用研究"(项目编号:TJJX15-022)
天津市2016年度哲学社会科学规划课题"学习者网络视频学习行为分析及其支持策略研究"(课题编号:TJJXWT16-006)
关键词
大数据
多媒体画面语言
多媒体学习
学习行为
Big Data
Language of Multimedia Design
Multimedia Learning
Learning Behavior
