Automated Feedback Collection and Analysis System

Automated Feedback Collection and Analysis System

Reema Lalit, Karun Handa, Nitin Sharma
Copyright: © 2018 |Pages: 11
DOI: 10.4018/IJDAI.2018010104
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Abstract

There is a rampant appreciation to the analysis framework which is a mean for drafting a vigorous and fairer educational institution system. In a developing country like India, where higher education is presaged to develop new resources for serving its people, an extremely effectual and fair reliable automated feedback system is essential for assessment. In this article, an automated educator feedback system is proposed. As faculty performance and feedback analysis are essential to facilitate educators find effectual teaching and learning in order to better engage students in classes. This system aimed at holding teacher's accountability for their performance. The proposed system is based on technologies like PHP, JavaScript, HTML, XAMPP server, MYSQL, and Google APIs. This system will help the institution bureaucrats to write confidential appraisal report. The proposed system analysis the feedback class wise as well as individual faculty wise and provide the analysis in the form of Google charts.
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2. Review Of Automated Educator Feedback Systems

In the era of industrial revolution 4.0, automated systems are being used in a variety of applications like education, healthcare, aerospace, business and, defense, etc. The various exiting automated educator feedback systems are summed up as follows:

2.1. An Evaluation of Students Performance in Oral Presentation Using Fuzzy Approach:

In 2011, Wan Suhan Wan Daud et al. proposed a technique for student’s academic assessment using fuzzy logic approach (Daud, Aziz, & Sakib, 2011). According to the author, the assessment of students is a judgment making process based on numerous fundamentals such as examinations, assignment, test, quiz, research work and so on. The method of evaluation used till date was not the best because, for student evaluation, we have many panels having a different attitude, experience, and sensibility. This involves fuzziness. In this paper, the author had used the following methodology to handle fuzziness. Firstly, student’s marks are normalized, followed by the plotting of graph on the basis of Fuzzy membership function, the degree of satisfaction is calculated and finally, marks are computed. The constraint of this method is that it can only be applied to evaluate oral presentations.

2.2. Evaluation Criteria for Performance Appraisal of Faculty Members

In 2015, Elena Arnăutu et al. proposed Evaluation criteria for performance appraisal of faculty members (Arnăutu & Panc, 2015). The purpose of the study was to generate a suitable tool for evaluating and appraising faculty members. In this system, Behaviorally Anchored Rating Scales (BARS) method was used. The limitation of this system is its sample size which was inadequate.

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