A COMPARATIVE STUDY FOR PREDICTING STUDENT’S ACADEMIC PERFORMANCE USING BAYESIAN NETWORK CLASSIFIERS
关键词:
摘要: The main objective of educational institutions is to provide high quality education. Providing a education depends on predicting the unmotivated students before they entering in final examination. In this paper, we compare Bayesian network classifiers for student's academic performance and generates Model. This model helps earlier identifying drop outs who need special attention allow teacher appropriate counselling / Advising. Addition this, Accurately student useful many different contexts. For example, exceptional scholarships an essential part admissions process weak are likely fail also important allocating limited tutoring resources.
iosrjen.org 参考文章(12)
Mohammad Reza Beikzadeh, Naeimeh Delavari, A New Analysis Model for Data Mining Processes in Higher Educational Systems ,(2004)
Qasem A. Al-Radaideh, Mustafa I. Al-Najjar, Emad M. Al-Shawakfa, Mining Student Data Using Decision Trees ,(2006)
Kalina Yacef, Agathe Merceron, Educational Data Mining: a Case Study artificial intelligence in education. pp. 467- 474 ,(2005)
Surjeet Kumar Yadav, Brijesh Bharadwaj, Saurabh Pal, Data Mining Applications. A Comparative Study for Predicting Student's Performance ,(2018)
Umesh Kumar Pandey, Saurabh Pal, A Data Mining view on Class Room Teaching Language arXiv: Databases. ,(2011)
Brijesh Kumar, Saurabh Pal, Mining Educational Data to Analyze Students" Performance International Journal of Advanced Computer Science and Applications. ,vol. 2, ,(2011) , 10.14569/IJACSA.2011.020609
N. Delavari, M. Reza Beikzadeh, S. Phon-Amnuaisuk, Application of enhanced analysis model for data mining processes in higher educational system information technology based higher education and training. ,(2005) , 10.1109/ITHET.2005.1560303
Saurabh Pal, Brijesh Kumar Bhardwaj, Data Mining: A prediction for performance improvement using classification arXiv: Information Retrieval. ,(2012)
H. Mannila, Data mining: machine learning, statistics, and databases statistical and scientific database management. pp. 2- 9 ,(1996) , 10.1109/SSDM.1996.505910
Alaa M. El-Halees, Mohammed M Abu Tair, Mining educational data to improve students' performance: a case study Mining educational data to improve students' performance: a case study. ,(2012)