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The Research on Teaching Method of Basics Course of Computer based on Cluster Analysis

机译:基于聚类分析的计算机基础课程教学方法研究

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Due to the difference between rural and urban and regional disparity of computer basic education produced at their middle school period, computer application level of the freshmen make a great difference. According to this situation, corresponding skill survey is designed. Data obtained from the survey is analyzed by K-means cluster algorithm. And the students are classified into three types according to their master degree of computer application. The study group is composed of the students selected from each type. This can promote them to study from each other and draw the strong points of others to offset their own weakness. The teachers can adjust the emphasis of their teaching to different classes according to the master degree of computer application of the classes. Good teaching effect is achieved by using this teaching method in Basics Course of Computer.
机译:由于初中时期城乡计算机基础教育的城乡差异和地区差异,新生的计算机应用水平差异很大。针对这种情况,设计了相应的技能调查表。从调查中获得的数据通过K-means聚类算法进行分析。根据学生对计算机应用的掌握程度,将学生分为三类。学习小组由从每种类型中选择的学生组成。这可以促进他们互相学习,并从他人身上汲取长处,以弥补自己的弱点。教师可以根据班级计算机应用的掌握程度,将教学重点转移到不同的班级。通过在计算机基础课程中使用这种教学方法,可以达到良好的教学效果。

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