scholarly journals Intelligent Context Driven Data Mining To Analyse Student Performance in Higher Educational Institutions (HEIs)

2019 ◽  
Vol 8 (2) ◽  
pp. 856-861
Keyword(s):  
Data Mining ◽  
Information System ◽  
Student Performance ◽  
Educational Institutions ◽  
Improve Performance ◽  
Student Parents ◽  
Student Information System ◽  
Student Information ◽  
Different Sources ◽  
Background Context

Context driven research has been conducted by many. However, very less work has been conducted in constructing a context driven data mining that helps in HEI decision-making. A Student Information System that interacts with Students, Faculties, Student Parents and Management might not have enough information of the background. Context driven data mining is an application intelligent enough to detect and examine the context from different sources and take suitable actions to improve performance and efficiency of decisionmaking by discovering the hidden factors. This paper recommends a context driven data mining method for understanding student performance from Student Information System in HEIs

scholarly journals Research Paper on Student Information System

2021 ◽  
Vol 10 (4) ◽  
pp. 158-161
Author(s):  
Pragun Agarwal ◽  
Anubhav Joshi ◽  
Bharat Bhushan Naib
Keyword(s):  
Information System ◽  
Research Paper ◽  
Educational Institutions ◽  
System Software ◽  
Student Records ◽  
Similar Work ◽  
Student Information System ◽  
Testing Techniques ◽  
User Centric ◽  
Student Information

With the help of Student Information System (SIS), student information can be stored and maintenance can be done. It is useful for educational institutions to maintain the records of students. The storage and management of information regarding a students’ academics is crucial in any institution. This system can be useful for all types of details, academic reports, institutional details, curriculum, and other resource as well. Student Information System software is very essential nowadays for all the educational institutions to store the information of students. For storing the student data, the institutions are spending a lot of money on paper, files, and other stationary stuffs including pens/pencil etc or some institutions are purchasing expensive systems to do this stuff. But here we are just creating software for the similar work it can save a lot of expenditure of an institution and also it will save use of papers which is ultimately beneficial for our environment also. This system is very useful to sort and search student records because sorting and searching in file system is time consuming also difficult to conduct manually. This software was developed in such a way that it remains to be user centric and easily understandable and usable by the user. The software is fully functional and tested over several testing techniques available and the software is functioning smoothly.

scholarly journals Student Information System and Performance Prediction in Educational Data Mining

IJARCCE ◽  
2017 ◽  
Vol 6 (3) ◽  
pp. 481-484
Author(s):  
Pratik Nanavati ◽  
Abhishek Masurkar ◽  
Chaitanya Shinde ◽  
Aaryaman Singh ◽  
Prof. Sumitra Sadhukhan
Keyword(s):  
Data Mining ◽  
Information System ◽  
Performance Prediction ◽  
Educational Data Mining ◽  
Student Information System ◽  
Student Information ◽  
And Performance

scholarly journals Predicting Student Performance in Higher Educational Institutions Using Video Learning Analytics and Data Mining Techniques

2020 ◽  
Vol 10 (11) ◽  
pp. 3894 ◽  
Author(s):  
Raza Hasan ◽  
Sellappan Palaniappan ◽  
Salman Mahmood ◽  
Ali Abbas ◽  
Kamal Uddin Sarker ◽  
...  
Keyword(s):  
Data Mining ◽  
Student Performance ◽  
Learning Analytics ◽  
Information Gain ◽  
Educational Institutions ◽  
Higher Educational Institutions ◽  
Genetic Search ◽  
Data Mining Techniques ◽  
Higher Educational ◽  
Student Information

Technology and innovation empower higher educational institutions (HEI) to use different types of learning systems—video learning is one such system. Analyzing the footprints left behind from these online interactions is useful for understanding the effectiveness of this kind of learning. Video-based learning with flipped teaching can help improve student’s academic performance. This study was carried out with 772 examples of students registered in e-commerce and e-commerce technologies modules at an HEI. The study aimed to predict student’s overall performance at the end of the semester using video learning analytics and data mining techniques. Data from the student information system, learning management system and mobile applications were analyzed using eight different classification algorithms. Furthermore, data transformation and preprocessing techniques were carried out to reduce the features. Moreover, genetic search and principle component analysis were carried out to further reduce the features. Additionally, the CN2 Rule Inducer and multivariate projection can be used to assist faculty in interpreting the rules to gain insights into student interactions. The results showed that Random Forest accurately predicted successful students at the end of the class with an accuracy of 88.3% with an equal width and information gain ratio.

A Strategic Planning of Developing Student Information Management System Using SWOT Technique

2016 ◽  
Vol 2 (3) ◽  
pp. 515
Author(s):  
Luay Idrees Sarhan ◽  
Akeela M. Atroshi ◽  
Nawzat S. Ahmed
Keyword(s):  
Information System ◽  
Strategic Planning ◽  
Information Management ◽  
Management System ◽  
Information Management System ◽  
Analysis Tool ◽  
Student Information Systems ◽  
Student Information System ◽  
Key Factor ◽  
Student Information

The strategic planning of developing any information system is the key factor of progress any organization. Hence, SWOT (Strength, weakness, opportunities and threats) analysis for the strategic planning of developing information system has proved to be a good analysis tool for further development and progress of the universities/organization. Further, the implementation of computerized student information management system has become an important issue within the university campus to exchange such information between students and staff. Many studies have developed student information system through the converting of paper-based system to computer-based system in order to facilitate the work of staff. However, none of these studies focused on the development of such systems based on the strategic planning using SWOT technique. Therefore, this research focuses on the requirements needed to develop student information system based on the aforementioned strategic planning technique. Some universities located in the Kurdistan Region, Iraq have been tacking to do the investigation. Moreover, SWOT technique was selected to find strengths, weaknesses, opportunities and threats of developing such system. The findings of this research were processed as matching strengths with opportunities and converting weaknesses or threats to strengths or opportunities. Based on the results, it has been found that the need to address student information systems is of utmost importance now more than ever in order to survive and continue in the competition environment.            

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