一种表示和优化学习过程的知识工程方法及其经验验证

R. Knauf, Yoshitaka Sakurai, K. Takada, S. Tsuruta
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引用次数: 0

摘要

建模、处理、评估和精炼过程与人类的参与(不仅是,而且是e-)学习是知识工程的一个令人兴奋的新应用。以前开发的一个叫做故事板的概念已经在东京Denki大学被应用于模拟在这所大学学习的各种方式,并以图形的方式将它们可视化,这允许通过嵌套图形的层次结构来保持概述。本文报告了一种基于故事板的评估课程成功几率的数据挖掘技术的开发和验证。此外,本文还讨论了通过实施先前引入的学习者分析概念来改进这些结果的机会,该概念代表了学生对个性化数据挖掘的个人属性、才能和偏好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Knowledge Engineering Method to Represent and Optimize Learning Processes and its Empirical Validation
Modeling, processing, evaluating and refining processes with humans involved like (not only, but also e-) learning is an exciting new application of Knowledge Engineering. A formerly developed concept called storyboarding has been applied at Tokyo Denki University to model the various ways to study at this university and visualize them in a graphical way, that allows to keep an overview by a hierarchy of nested graphs. The paper reports the development and validation of a data mining technology to estimate success chances of curricula based on storyboarding. Further, it discusses chances to improve these results by implementing a formerly introduced learner profiling concept that represents the students' individual properties, talents and preferences for personalized data mining.
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