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作 者:林育曼[1] LIN Yu-man(Department of Educational Technology,Shaoguan University,Shaoguan 512005,China)
出 处:《电脑与电信》2024年第8期64-69,102,共7页Computer & Telecommunication
基 金:2022年度广东省教育科学规划课题“基于SOR模型的学习资源视觉呈现对在线学习投入的影响研究”,项目编号:2022GXJK332。
摘 要:研究旨在提高在线视频学习的效果,通过分析识别用户对教学视频设计要素的需求,优化在线教学视频资源设计,从而提高视频设计质量。通过梳理与分析相关在线教学视频设计文献,确定了16项视频画面设计要素,运用KANO问卷调查并结合Better-Worse系数分析,建立了用户满意度分布矩阵,识别用户对视频设计要素的需求类型及优先度。研究提供交互式字幕(弹幕)、清晰易读的学习内容文本、“全文+关键字突显字幕”、解释性插图、清晰的解说音频、用户可控制的交互设计、真人解说等设计效果。最后结合视频画面设计的各个维度及用户需求类型和优先度,提出教学视频画面设计优化建议。The study aims to enhance the effectiveness of online video learning by analyzing and identifying user requirements for instructional video design elements,optimizing the design of online instructional video resources,and thereby improving the quality of video design.By analyzing literature related to the design of online instructional videos,16 video design elements are identified.The KANO questionnaire survey is applied in conjunction with Better-Worse coefficient analysis to establish a user satisfaction distribution matrix,which identifies the types and priorities of user requirements for video design elements.The study provides the design effects such as interactive subtitles(bullet comments),Clear and readable text of the learning content,"full text+keyword highlighting subtitles,"explanatory illustrations,clear explanatory audio,user controllable interaction design,and live commentary.Finally,based on the various dimensions of video image design and the types and priorities of user requirements,optimization suggestions for the design of instructional video image are proposed.
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