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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM30791
Volume:
8 |
4 |
Apr 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Abstract- In the realm of educational institutions, the quality of teaching directly impacts the learning experiences of students. Student feedback is a vital tool for maintaining and enhancing teaching standards, but conventional methods of analysis are often labor-intensive, error-prone, and prone to introducing biases. This research introduces the “Feedback Analysis System,” a technologically advanced solution designed to overcome these limitations. By collecting comprehensive student feedback through Google Forms and employing Python within Jupyter Notebook for data analysis, the system provides objective teacher performance grading based on predefined criteria, along with actionable insights to empower educators and administrators in their quest to improve teaching quality. This paper outlines the methodology, results, and implications of the “Feedback Analysis System,” a transformative approach that leverages data for data-driven teacher assessment and development.
KEYWORDS
Publication Date
12/31/45400
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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