A Realistic Mathematical Approach for Academic Feedback Analysis System

Author(s):  
Onkar Ekbote ◽  
Vandana Inamdar
2019 ◽  
Vol 25 (4) ◽  
pp. 2549-2560 ◽  
Author(s):  
Muslihah Wook ◽  
Noor Afiza Mat Razali ◽  
Suzaimah Ramli ◽  
Norshahriah Abdul Wahab ◽  
Nor Asiakin Hasbullah ◽  
...  

2012 ◽  
Vol 263-266 ◽  
pp. 147-151
Author(s):  
Zhang Yong Li ◽  
Yu Jiang ◽  
Ya Dong Liu

In order to supply an effective and reliable tool for the Psychology research in quantity, a multi-parameters psychophysiological feedback analysis system was designed. It can measure several physiological parameters closely related to psychological factors and can realize automatically controlling test gain using a DAC feedback adaptive circuit. Communication protocol is used to increase reliability of data communication and LMS algorithm was used in the system for noise elimination, real-time and data accuracy can be guaranteed. After the debug and verified, multi-parameter system can collect real-time and stable physiological parameters with a higher precision, it provides a feasible monitoring program for psychological assessment.


Author(s):  
Muhammad Zubair Asghar ◽  
Ikram Ullah ◽  
Shahab Shamshirband ◽  
Fazal Masud Kundi ◽  
Ammara Habib

The feedback collection and analysis has remained an important subject matter since long. The traditional techniques for student feedback analysis are based on questionnaire-based data collection and analysis. However, the student expresses their feedback opinions on online social media sites, which need to be analyzed. This study aims at the development of fuzzy-based sentiment analysis system for analyzing student feedback and satisfaction by assigning proper sentiment score to opinion words and polarity shifters present in the input reviews. Our technique computes the sentiment score of student feedback reviews and then applies fuzzy-logic module to analyze and quantify student’s satisfaction at the fine-grained level. The experimental results reveal that the proposed work has outperformed the baseline studies as well as state-of-the-art machine learning classifiers.


Feedback plays a vital role in the uprising of any educational institute. With the help of the proper Feedback analysis system the growth rate of the Institute will display an Inclination in its performance. For reputed Institutions which have large number of students, it is not easy to manage a proper feedback system manually, hence there is need for an automation in Faculty Feedback System Faculty Feedback Analysis System is a dynamic web application which is aimed to be anonymous while taking feedback from students and generate efficient and effective reports as prescribed by the NBA & UGC. The registered students of that particular institute can give the feedback of their faculty of present semester. While giving feedback, the student can see only his/her respective subjects and subject handling faculty names. The feedback form also shows Open Elective and Professional Elective subjects of the students based on their chosen choice. This system also provides the facility to the faculty to check their feedback at any point of time after the feedback is taken. It makes it easier for admin to view reports of all the previously taken feedback. This application is designed in such a way that it can be deployed in real time on a cloud server and can be accessed through smart phones and any small computing devices. All the passwords are encrypted with custom made encryption algorithm to secure the system from all the possible corners. The application has a ready and not ready state which will allow or not allow students to give feedback and will be managed from the admin panel which is beautifully created to be as user- friendly as it can get.The feedback form is also designed in two different models one for large screens where photos of the faculties are also presented with names and another for Smart phones which has its own beautiful custom made design-build for it. Overall performance wise it has been improved over the development cycle starting from version 1.0 to version 4.0.Various types of reports can be generated from the given feedback based on the admin requirements


2011 ◽  
Vol 225-226 ◽  
pp. 26-30 ◽  
Author(s):  
Shu Lin Tang ◽  
An Nan Jiang ◽  
Hui Zhao

Aiming at the problems of conventional underground engineering feedback analysis methods, such as being limited in local optimization and computing data being very complex, the paper introduced difference evolution arithmetic and visualization toolkit, and combined three dimensional numerical simulation and orthogonal design, developing the intelligent feedback analysis system based on Visual c#. The system theory, software frame and develop method are introduced, the system could be used to calculate and evaluate the state of tunnel surrounding rock based on in-situ monitoring data. The system is applied in an actual tunnel engineering, the analysis results are satisfied, which states it is feasible and has good potential application.


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