Analysis of Student Feedback by Using Data Mining Techniques

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.