Learnersourcing Subgoal Labels for How-to Videos
Learnersourcing Subgoal Labels for How-to Videos
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学习者采购操作视频的子目标标签
DOI：
10.1145/2675133.2675219
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Rob Miller
中科院分区：
文献类型：
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作者：
Sarah A. Weir;Juho Kim;Krzysztof Z Gajos;Rob Miller
像YouTube这样的网站上有数百万个如何操作的视频，但它们的界面并没有针对学习进行优化。先前的研究表明，当视频伴随着显示单个步骤和步骤组（子目标）标签的大纲时，人们从指导视频中学到更多。我们设想一个替代的视频播放器的步骤和子目标显示在视频旁边。为了为现有的视频生成这些信息，我们引入了learnersourcing，一种内在动机的学习者有助于人类计算工作流程的方法，因为他们自然会从视频中学习。为了演示这种方法，我们部署了一个实时网站，其中包含一个工作流，用于在一组介绍性Web编程视频上构建子目标标签。对于参与度最高的四个视频，我们发现大多数学习者生成的子目标在质量上与专家生成的子目标相当。学习者评论说，该系统帮助他们掌握材料，这表明我们的工作流程并没有减损学习经验。
Websites like YouTube host millions of how-to videos, but their interfaces are not optimized for learning. Previous research suggests that people learn more from how-to videos when the videos are accompanied by outlines showing individual steps and labels for groups of steps (subgoals). We envision an alternative video player where the steps and subgoals are displayed alongside the video. To generate this information for existing videos, we introduce learnersourcing, an approach in which intrinsically motivated learners contribute to a human computation workflow as they naturally go about learning from the videos. To demonstrate this method, we deployed a live website with a workflow for constructing subgoal labels implemented on a set of introductory web programming videos. For the four videos with the highest participation, we found that a majority of learner-generated subgoals were comparable in quality to expert-generated ones. Learners commented that the system helped them grasp the material, suggesting that our workflow did not detract from the learning experience.