DR. VIMAL BHATT

Title:Performance Prediction for Post Graduate Students using Artificial Neural NetworkYear: 2019
Authors: Vinod Kumar Pal, Vimal Bhatt Journal: International Journal of Innovative Technology and Exploring Engineering Publication date: 2019 Publisher: BEIESP URL: click here Abstract Understanding university students' performance and identifying factors that affect university students' performance are very important issues for educational institutions, educators, and students. To extract some meaningful information from these large volumes of data, academic organizations have to mine the data. The current system of evaluating student performance is not feasible and it has been observed that it often leads to dissatisfaction among the students, as in the absence of correct predictors of success in educational institutes, students and institutions put emphasis on incorrect predictors and invest time and resources in. This paper presents a comprehensive study on predicting student performance in R Programming for postgraduate students using deep learning (which is a small part of the artificial neural network). The study's objective is 1) to study the prediction accuracy rate using R programming 2) to analyze the factors that affect academic achievement that contribute to predicting academic performance of students. The researchers evaluated the proposed methods on a dataset consisting of 395 student’s records with 30 attributes of students has been gathered from UCI Repository after the collected data has been preprocessed, cleaned, and filtered using R Programming.

Title:Performance Prediction for Post Graduate Students using Artificial Neural NetworkYear: 2019

Authors: Vinod Kumar Pal, Vimal Bhatt
Journal: International Journal of Innovative Technology and Exploring Engineering
Publication date: 2019
Publisher: BEIESP
URL: click here

Abstract

Understanding university students' performance and identifying factors that affect university students' performance are very important issues for educational institutions, educators, and students. To extract some meaningful information from these large volumes of data, academic organizations have to mine the data. The current system of evaluating student performance is not feasible and it has been observed that it often leads to dissatisfaction among the students, as in the absence of correct predictors of success in educational institutes, students and institutions put emphasis on incorrect predictors and invest time and resources in. This paper presents a comprehensive study on predicting student performance in R Programming for postgraduate students using deep learning (which is a small part of the artificial neural network). The study's objective is 1) to study the prediction accuracy rate using R programming 2) to analyze the factors that affect academic achievement that contribute to predicting academic performance of students. The researchers evaluated the proposed methods on a dataset consisting of 395 student’s records with 30 attributes of students has been gathered from UCI Repository after the collected data has been preprocessed, cleaned, and filtered using R Programming.

Name	Designation
Mr. Anand Singh	Administrative Officer
Ms. Jagriti Partho Goswami	Office Superintendent
Mr. Prasanna Pendke	Sr. Supervisor
Mr. Amit Marathe	Sr. Supervisor
Mr. Prakash D Karkar	Supervisor
Mr. Amit Shinde	Supervisor
Ms. Supriya Rahalkar	Supervisor
Ms. Poorva Zende	Supervisor
Mr. Yogesh S. Mane	Sr. Coordinator
Ms. Rucha Desai	Sr. Coordinator
Ms. Roma Kale	Sr. Coordinator
Ms. Deepti Gokhale	Sr. Coordinator
Ms. Margaret Dsouza	Sr. Coordinator
Mr. Gautam S. Mane	Coordinator
Mr. Prasad Bonde	Coordinator
Ms. Anuja Joshi	Coordinator
Mr. Pradeep Chaveria	Coordinator
Mr. Rohit Rane	Assistant Coordinator
Ms. Shilpa Ravalallu	P.A.to Director
Mr. Abhishek Kudale	Office Assistant
Mr. Rajesh Bagewadi	Network Engineer
Ms. Saee H. Gokhale	Sr .Lab Instructor
Mr. Nilesh S Kadam	Lab Instructor
Mr. Sumit Bhoinkar	Accountant
Mr. Avadhoot Joshi	Accountant
Ms. Shital Balkawade	Sr. Accounts Assistant
Ms. Deepti Velhal	Deputy Accountant
Mr. Mukesh Thopate	Office Attendant
Mr. Ashok Mankar	Office Attendant
Mr. Puran Walmiki	Sr. Office Attendant
Mr. Kailash Shinde	Sr. Office Attendant
Mr. Vasant Shitole	Sr. Office Attendant
Mr. Sanjay Takle	Sr. Office Attendant
Mr. Aniket Gugale	Office Attendant
Mr. Ravindra Supe	Office Attendant