An Approach of Improving Student’s Academic Performance by using K-means clustering algorithm and Decision tree
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2012, Vol 3, Issue 8
Abstract
Improving student’s academic performance is not an easy task for the academic community of higher learning. The academic performance of engineering and science students during their first year at university is a turning point in their educational path and usually encroaches on their General Point Average (GPA) in a decisive manner. The students evaluation factors like class quizzes mid and final exam assignment lab -work are studied. It is recommended that all these correlated information should be conveyed to the class teacher before the conduction of final exam. This study will help the teachers to reduce the drop out ratio to a significant level and improve the performance of students. In this paper, we present a hybrid procedure based on Decision Tree of Data mining method and Data Clustering that enables academicians to predict student’s GPA and based on that instructor can take necessary step to improve student academic performance.
Authors and Affiliations
Hedayetul Shovon, Mahfuza Haque
Keywords
Related Articles
- EP ID EP92816
- DOI -
- Views 144
- Downloads 0
Transforming Service Delivery with TOGAF and Archimate in a Government Agency in Peru
The application of The Open Group Architecture Framework (TOGAF) and Archimate to transform the citizen's service delivery by the Ministry of Labor and Employment Promotion of Peru is presented. The enterprise architectu...
Reverse Engineering State and Strategy Design Patterns using Static Code Analysis
This paper presents an approach to detect behavioral design patterns from source code using static analysis techniques. It depends on the concept of Code Property Graph and enriching graph with relationships and properti...
Analyzing Interaction Flow Modeling Language in Web Development Lifecycle
Two years ago, the Object Management Group (OMG) adopted a new standard method named Interaction Flow Modeling Language (IFML) for web engineering domain. IFML is designed to express the content, user interaction, and co...
MAS based on a Fast and Robust FCM Algorithm for MR Brain Image Segmentation
In the aim of providing sophisticated applications and getting benefits from the advantageous properties of agents, designing agent-based and multi-agent systems has become an important issue that received further consid...
Challenges of Medical Records Interoperability in Developing Countries: A Case Study of the University Teaching Hospital in Zambia
The University Teaching Hospital (UTH) is an integral national referral Hospital made up of eight departments. Standardized systems and semantic interoperability is key for successful flow of patient information from one...