Open AccessImplementation of Dual Decision Support System for Students and Teachers using Data Analytics in Online Exam
Author(s) -
Kalyani V. Deshmukh
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.36677
Subject(s) - learning analytics , computer science , online learning , analytics , dual (grammatical number) , quality (philosophy) , decision support system , interface (matter) , multimedia , world wide web , data science , artificial intelligence , art , philosophy , literature , epistemology , bubble , maximum bubble pressure method , parallel computing
Online Learning platforms are increasing day by day, and most of the people prefer online learning as this platform is very convenient and affordable. In online learning education, learning content designing plays very important role to improve student performance. Therefore in this project we proposed a data analytics based model to analyze student’s exam solving and content accessing behaviors which will help teachers to improve content quality. Student’s behavior analysis will also help to find out questions difficulty levels as well as student’s grade and performance. We proposed a decision support system in online learning system for tutors/teachers which will help them to improve their learning quality. Along with this the tutors will be able to view student’s performance online using Graphical User Interface. In this system, we proposed a personal questions ordering module for students depending upon their historical question solving patterns.