通过基于案例的推理技术重用web学习组合来支撑问题解决

Chen-Chung Liu, P. Don, Kun-Lin Chen, Baw-Jhiune Liu
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引用次数: 5

摘要

本研究试图重新利用网络学习档案来支撑问题解决,以激活学生的最近发展区。首先,我们从学生的学习档案中分析案例,获得案例知识和学生的能力,然后使用基于案例的推理技术向学生推荐案例。在学生提交案例后,采用数据挖掘技术和基于问题的信息系统分析学生与案例之间的匹配模型。最后,我们构建了一个基于案例的在线学习系统,该系统可以检索和重用合适的案例,有效地支持学生在学习过程中解决问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reusing web learning portfolios by case-based reasoning technology to scaffold problem solving
This study attempted to reuse the web learning portfolios to scaffold problem solving for activating students' Zone of Proximal Development. First, we analyzed cases from students' learning portfolios for getting case knowledge and student ability, and then used case based reasoning technology for recommending cases to students. After students referred these cases, we adopted data mining technology and issue-based information system to analyze the match model between students and cases. Finally, we constructed an online case based learning system, which could retrieve and reuse the fitting cases to effectively scaffold problem solving on student learning process.
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