CBR理论在基于jBPM的教务管理系统中的应用

Feng He, Q. Han
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引用次数: 1

摘要

CBR (Case-based Reasoning)是人工智能领域的一种方法。本文介绍了CBR方法在教务管理系统中的应用。在每堂课中选取5组评价数据,通过归一化、模糊聚类和相似度指标,匹配出与目标案例相似度最高的源案例。源案例由班上的37名学生组成。目标案例是另一个班的同学。目标案例中的学生可以使用与源案例中最相似的学生匹配的同学的复习计划。此外,教务系统的智能模块是在jBPM框架下实现的。这个平台的工作流引擎可以驱动各个环节的流程,更有利于智能化的实现。
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CBR Theory Applied to Educational Administration System based on jBPM
CBR (Case-based Reasoning) is an method in the field of artificial intelligence. This paper describes the application of CBR method in the educational administration system. Five groups of evaluation data were selected during the course of a class,through normalization, fuzzy clustering, and similarity metrics,match the source case with the highest similarity to the target case. The source case consists of 37 students in this class. The target case is a classmate from another class. Students in the target case can use the review plan of the classmates who match the most similar students in the source case. In addition, the intelligent module of the educational administration system is implemented under the jBPM framework. This platform workflow engine can drive the flow of each link, more conducive to intelligence is to achieve.
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