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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      1 Jan 2023, Volume 38 Issue 1   
    Article

    1. A NOVEL METHOD FOR ANALYSIS OF STUDENT FEEDBACK IN HIGHER EDUCATION
    Dr. Swati A. Bhavsar, Dr. Varsha Hemant Patil, Dr. Ranjit M. Gavande, Dr. Neeta A. Deshpande
    Journal of Data Acquisition and Processing, 2023, 38 (1): 5157-5169 . 

    Abstract

    Student feedback plays an important role in strengthening the teaching-learning process. Feedback system contributes to professionalizing the teaching process; especially in higher education. Most of the time feedback about teachers from students is collected in a traditional way with a set of questionnaires that are set based on various parameters. Further, it is assessed and analyzed by giving equal weightage to the parameters that may lead to an improper assessment of teachers. A feedback system helps in knowing the strong and weak points of the teacher for self-improvement. The feedback system also supports the appraisal system of the institute. In this paper, we present an online automated process for the collection and analysis of feedback using the weighted average technique. The efficacy and efficiency of the feedback system depend on appropriately chosen parameters and its correct analysis. The proposed process has defined the most appropriate 20 parameters to collect 360-degree feedback about the teaching-learning by giving appropriate weightage to the parameters justifying their relevance. Experimentation for 30 different courses for the last 5 years by varying teacher’s assignments for the course and set of students has been conducted. Continuously measured with the help of a higher authority, experts, and remarks by the teacher himself/ herself have justified the accuracy of the proposed feedback system. We are sure that the proposed system will be catalyzing definitely in rewarding and improving the teaching-learning process leading to a better learning experience for the students.

    Keyword

    feedback, assessment, teaching-learning, weighted average


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