How to Facilitate Self-Monitoring of Learning Process in Hyperspace

本研究的主要目的是发展和评估一些自我监控导航学习过程中的超空间的Web内容提供的方法。为了实现这一目标，我们提出了两个观察者，（Previewer和Postviewer），使学习者能够进行以下自我监控活动：1.导航监控，用于规划在超空间中应遵循的导航路径; 2.反思监控，用于重新思考/重建迄今为止进行的导航学习过程。这些观察器旨在让学习者产生和查看有关导航学习过程的信息，这是正确的自我监控所必需的。2003年，我们开发了预览器，它可以自动生成一个超空间地图，表示由Web内容提供的超空间结构，并且可以显示学习者从地图中选择的导航路径的概览信息。它允许他们在访问超空间之前预览导航路径 关于我们 (the网页）。我们还开发了Postviewer，它可以从交互式历史系统生成的导航历史中生成和显示反射监视所需的信息。2004年，我们对观察者进行了评估，以改进超空间中自我监控的方法。评价结果表明，观众可以提高导航学习过程的效率和有效性。我们还发现，观众不能产生的信息，导航监测从Web内容的结构不良。为了解决这个问题，我们提出了一种方法来创作Web内容，通过该预览器可以自动提取信息的导航监控。此外，我们确定Postiviewer并没有帮助提高反思性监测的技能。因此，我们提出了一个学习如何自我监控的模型，这是所谓的元学习模型，并促进元学习的方法。少

The main goal of this work was to develop and evaluate some methods for self-monitoring navigational learning process in hyperspace provided by Web contents. In order to achieve this goal, we proposed two viewers (Previewer and Postviewer) that enabled learners to do the following self-monitoring activities :1.Navigational monitoring for planning navigation paths to be followed in hyperspace, and2.Reflective monitoring for rethinking/reconstructing the navigational learning process carried out so far.These viewers intended to allow learners to produce and view the information about the navigational learning process, which is necessary for proper self-monitoring.In 2003,we developed the Previewer that could automatically generated a hyperspace map representing the structure of hyperspace provided by Web contents, and that could display an overview information of navigation paths learners selected from the map. It allows them to preview the navigation paths before visiting the hyperspace … More (the Web pages). We also developed the Postviewer that could generate and display the information, which is necessary for reflective monitoring, from the navigation history generated with the Interactive History system. It allows the learners to postview their navigational learning process including navigation and knowledge construction.In 2004,we evaluated the viewers to refine the methods for self-monitoring in hyperspace. The results of the evaluation suggested that the viewers could enhance the efficiency and effectiveness of the navigational learning process. We also found the viewers could not generate the information for navigational monitoring from Web contents which were ill-structured. In order to resolve this problem, we proposed a method for authoring Web contents by which the Previewer can automatically extract the information for navigational monitoring. In addition, we ascertained that the Postiviewer did not contribute to enhancing the skill of reflective monitoring. We accordingly proposed a model of learning how to self-monitor, which is called meta-learning model, and a method for facilitate meta-learning. Less