Implementation of Dual Decision Support System for Students and Teachers using Data Analytics in Online Exam

2021 ◽  
Vol 9 (VII) ◽  
pp. 2979-2982
Author(s):  
Kalyani V. Deshmukh
Keyword(s):  
Online Learning ◽  
Decision Support ◽  
Decision Support System ◽  
Student Performance ◽  
Support System ◽  
Data Analytics ◽  
Learning System ◽  
Improve Student Performance ◽  
And Performance ◽  
Using Data

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.

Assessing the Performance of Decision Support Systems in Military Environment

2015 ◽  
pp. 45-70 ◽  
Author(s):  
Jean-Fabrice Lebraty ◽  
Cécile Godé
Keyword(s):  
Decision Making ◽  
Information System ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Extreme Environment ◽  
Is Success ◽  
Original Case ◽  
And Performance

This article explores the ability of a decision support system (DSS) to improve the quality of decision making in extreme environment. This DSS is actually based on a networked information system. Academic literature commonly mentions models of fit to explore the relationship between technology and performance, reckoning users' evaluations as a relevant measurement technique for Information System (IS) success. Although effective contributions have been achieved in measurement and exploration of fit, there have been few attempts to investigate the triangulation of fit between “Task-DSS-Decision Maker” under stressful and uncertain circumstances. This article provides new insights regarding the advantages provided by networked IS for making relevant decisions. An original case study has been conducted. It is focused on a networked decision support system called Link 16 that is used during aerial missions. This case study shows that the system improves decision making on an individual basis. Our result suggest the importance of three main fit criteria – Compliance, Complementarity and Conformity – to measure DSS performance under extreme environment and display a preliminary decisional fit model.

Decision Support System for Wind Farm Installation Using Bipolar Analysis

2015 ◽  
pp. 1-21 ◽  
Author(s):  
Yasmina Bouzarour-Amokrane ◽  
Ayeley P. Tchangani ◽  
François Pérès
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Wind Energy ◽  
Support System ◽  
Large Scale ◽  
Wind Farm ◽  
Negative Impact ◽  
Life Quality ◽  
Energy Projects ◽  
And Performance

The necessity to control and reduce the negative impact of human activities on environment and life quality along with technology progress in renewable energy in general and wind energy in particular render it possible today to consider wind energy projects on a large scale. Developing wind energy on a large scale however raises other problems such as choosing an adequate site to settle a wind farm where many other issues such technical feasibility and performance levels, visual pollution, economic and social concerns, etc. must be addressed. Such decisions usually involve many parameters and necessitate the collaboration of many stakeholders. In this context, this chapter proposes an approach based on the concept of bipolar analysis through Benefit Opportunity Cost and Risk (BOCR) analysis, which permits one to address correctly a Group Decision-Making Problem (GDMP) to build a decision support system in order to assist the wind farm installation process.

Using Online Learning Systems to Improve Student Performance

2011 ◽  
Vol 7 (2) ◽  
pp. 21-34
Author(s):  
Nelly Todorova ◽  
Annette M. Mills
Keyword(s):  
Online Learning ◽  
Student Performance ◽  
Prior Knowledge ◽  
Real Life ◽  
Meaningful Learning ◽  
Learning Model ◽  
Learning System ◽  
Preliminary Evaluation ◽  
Life Problems ◽  
Improve Student Performance

A key responsibility of educators is to enable meaningful learning and to help students acquire the knowledge and skills they need to make decisions and solve real-life problems. The knowledge that students bring to class (i.e. prior knowledge) has been identified as a major factor enabling meaningful learning. Leveraging this knowledge depends on instructors being able to assess it and adjust their teaching accordingly. This paper proposes a learning model aimed at enriching, assessing and activating prior knowledge. To provide a preliminary evaluation on the feasibility of the model, it was implemented using an online learning system and assessed using survey and interview data gathered from students and faculty. The results showed positive changes in student study behavior, motivation, classroom experience and learning outcomes. Opportunities for improvement of the learning model were also identified.

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