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引用次数: 2
摘要
在我们之前的工作中,我们开发了一个名为SCROLL的系统来记录、组织、回忆和评估学习日志。但是到目前为止,我们只是使用活动模式来记录日志。这意味着学习者必须有意识地捕捉所学内容,而大部分学习机会都是在无意识中丢失的。为了解决这一问题,本文提出了一个名为PACALL (Passive Capture for Learning Log)的系统,利用SenseCam进行被动捕获。在SenseCam的帮助下,学习者的活动可以被捕获为一系列图像。在该系统的帮助下,学习者可以通过分析传感器数据和图像处理技术找到重要的图像。最后,选择的图像将作为泛在学习日志上传到当前的SCROLL系统。本研究表明,通过分析SenseCam的传感器数据,SenseCam可以被动捕捉学习经验,减少反思的工作量。
In our previous works, we developed a system named SCROLL in order to log, organize, recall and evaluate the learning log. However up to now, we just use an active mode to record logs. This means that a learner must take a capture of learned contents consciously and most of learning chances be lost unconsciously. This paper proposes a system named PACALL (Passive Capture for Learning Log) in order to have a passive capture using SenseCam to solve this problem. With the help of SenseCam, learner's activity can be captured as a series of images. With the help of this system, a learner can find the important images by analyzing sensor data and images processing technology. Finally, the selected images will be uploaded to the current SCROLL system as ubiquitous learning logs. This research suggests that SenseCam can be used to do passive capture of learning experiences and workload of reflection can be reduced by analyzing sensor data of SenseCam.