دانلود رایگان مقاله انگلیسی تجریه و تحلیل عملکرد دانشجویان با استفاده از تکنیک های داده کاوی - IEEE 2018

Abstract

With the birth of new technologies which can harness data associated with education, the field of Educational Data Mining (EDM) has bloomed. EDM is a research area which uses data mining techniques, machine learning algorithms and statistical techniques to understand how students learn, predict students’ academic performance and how a student’s learning can be improved. This paper conducts extensive review of the literature on the use of EDM for analyzing performance of student.

V. CONCLUSION

Due to in depth research in education, birth of new advanced technologies which can harness data associated with education to improve the quality of Education with emphasis more on predicting student’s success and failure and help student to achieve success, predicting student performance has become a very popular research area. With thorough research in the field of EDM and LA the new trend is predicting student’s performance with the help of Data Mining Techniques, Machine Learning Algorithms and Statistical techniques and approaches. Much research has been done in “Predicting Student Performance”. Most research has been done by collecting data through questionnaires. Most of the work has been done through different Classification Techniques, using CRIPS-DM model. Most Common tools used are WEKA and R.