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 139
- Downloads 0
FPGA Implementation of SVM for Nonlinear Systems Regression
This work resumes the previous implementations of Support Vector Machine for Classification and Regression and explicates the different methods and approaches adopted. Ever since the rarity of works in the field of nonli...
A Multilingual Datasets Repository of the Hadith Content
Knowledge extraction from unstructured data is a challenging research problem in research domain of Natural Language Processing (NLP). It requires complex NLP tasks like entity extraction and Information Extraction (IE),...
Binary PSOGSA for Load Balancing Task Scheduling in Cloud Environment
In cloud environments, load balancing task scheduling is an important issue that directly affects resource utilization. Unquestionably, load balancing scheduling is a serious aspect that must be considered in the cloud r...
Automated Segmentation of Whole Cardiac CT Images based on Deep Learning
Segmentation of the whole-cardiac CT image sequence is the key to computer-aided diagnosis and study of lesions in the heart. Due to the dilation, contraction and the flow of the blood, the cardiac CT images are prone to...
A New Network on Chip Design Dedicated to Multicast Service
The qualities of service presented in the network on chip are considered as a network performance criteria. However, the implementation of a quality of service, such as multicasting, shows difficulties, especially at the...