期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN:2278-1323
出版年度:2014
卷号:3
期号:10
页码:3352-3357
出版社:Shri Pannalal Research Institute of Technolgy
摘要:Monitoring and improving the performance of students is serious issue to be considered in the current educatio n scenario. The main objective of higher education institutions is to provide quality education to its students. The existing solution sends only learning pills to the mobiles using Bluetooth which is confined to those within the range of Bluetooth. In this project this pitfall has been overcome by sending academic information to the mails and sending corresponding alerts to the mobiles. Academic information includes detailed information about the topics covered in the daily classes, Exercises if any, Previous question papers, Mid marks, Class test results and Weekly attendance in a particular course. Which helps us in increasing the motivation and performance of a student and it develops a good understanding of how well or how poorly a student will perform. So, one can take proactive measures to improve the student learning. The knowledge is hidden among the educational data set and it is extractable through data mining techniques. By using ID3 algorithm we extract knowledge that describes students' performance in end semester examination. It helps earlier in identifying the dro pouts and students who need special attention and allow the teacher to provide appropriate advising/counseling. The classification task is used to evaluate student's performance and as there are many approaches that are used for data classification, the decision tree method is used here.