Analysis of Student Feedback by Using Data Mining Techniques

被引：1
|
作者：
Chitriv, Anushree [1 ]
Thomas, A. [1 ]
机构：
[1] GH Raisoni Coll Engn, Comp Sci & Engn Dept, Nagpur, Maharashtra, India
来源：
HELIX | 2018年 / 8卷 / 05期
关键词：
Educational Data Mining; Classification Clustering; Teaching Evaluation;
D O I：
10.29042/2018-4034-4038
中图分类号：
Q81 [生物工程学（生物技术）]; Q93 [微生物学];
学科分类号：
071005 ; 0836 ; 090102 ; 100705 ;
摘要：
Feedback is very important factor for any organization. It helps in self-analysis and also outlines scope for improvement if any. In educational institutions feedback helps to identify gaps and can also be used for performance analysis. This paper aims to dig deeper into the feedback data of an institution. Currently the feedback data is used to report only the performance of teacher. The paper proposes methods to analyze the feedback data using data mining techniques for better understanding of the faculty, course and student. The format of feedback varies from institution to institution, so there cannot be a general technique that will fit for all. The feedback data from the students will be analyzed by using different Data Mining techniques. The feedback data will be used for analyzing all the parameters considered for feedback which would help management in making policy decisions in teaching learning process. This Paper surveys all Data Mining technique that have been applied for analyzing feedback data.
引用
收藏
页码：4034 / 4037
页数：4
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