摘要
建立继续教育学分积累与转换制度、实现不同类型学习成果的互认和衔接是《国家中长期教育改革和发展规划纲要(2010-2020年)》的重要方向之一。然而,目前门类繁多的高等继续教育及机构间开展课程学分转换主要依赖经验,缺乏具体方法,这在一定程度上制约了学分转换制度的建立。本文通过相关文献分析引入相似度计算原理进行课程相似度计算,并以此作为课程学分转换的基本方法。基于此,本文通过理论分析提出了"课程微观结构模型",确定了课程的3个特征向量:知识点集合、知识点认知水平及知识点学习方式,分析了各个特征向量的表示及相应的课程相似度计算公式与思路,并以两所学校"C语言程序设计"课程学分转换为实践案例,对此方法的效度进行初步检验。
Establishing a continuing education credit accumulation and transfer system to promote the conversion of the different types of learning achievement is one of the important directions of ＂The National Medium and Long-term Educational Reform and Development Plan for 2010-2020＂. However, many types of higher education institutions carrying out the course credit transfer are mainly dependent on the subjective experience while not on the specific meth- od, which will restrict the establishment of the credit transfer system. This paper shows that similarity calculation can be used as a method of course credit transfer through the analysis of the related literature. Based on this viewpoint, we put forward ＂Course Micro-structure Model＂ through the theory analysis, and confirm 3 feature vectors of the course： knowledge collection, knowledge cognitive level and knowledge learning ways, then analyze the representation of each feature vector and the course similarity calculation formula. Based on the above theory, we take the transformation of the course credit of ＂C language program design＂ between two institutions as an example to validate this method.
出处
《开放教育研究》
CSSCI
北大核心
2013年第5期96-103,共8页
Open Education Research
基金
全国教育科学"十二五"规划2012年度国家社科基金教育学重点项目"信息化促进优质教育资源共享研究"(ACA120005)
关键词
学分转换
课程相似度计算
课程微观结构模型
课程特征向量
credit transfer
course similarity computation., course micro-structure model
course feature vector
