Recommender System for Student Performance Using EDM

Authors

  • S. Jothi Lakshmi Research Scholar (PT), Department of Computer Science, Madurai Kama Raj University, Madurai, Tamil Nadu, India
  • M. Thangaraj Professor & Head, Department of Computer Science, Madurai Kama Raj University, Madurai, Tamil Nadu, India

DOI:

https://doi.org/10.51983/ajcst-2018.7.3.1898

Keywords:

Data Mining, Classification, Student Performance, Recommender, EDM

Abstract

Student’s performance plays an important role in an educational institutions and economic growth of society by producing graduates. Educational Data mining algorithms are used to extract the hidden knowledge from the Educational institutions. The recommender system is a special type of information filtering system. This paper provides a recommender system for evaluate student performance that helps the students who need the special attentions.

References

A. B. El Din Ahmed and I. S. Elaraby, "Data Mining: A prediction for Student’s Performance Using Classification Method," World Journal of Computer Application and Technology, pp. 43-47, 2014.

B. E. D Ahemad and I. S. A. Elarby, "Prediction for student’s performance using classification Method," World Journal of Computer Application and Technology, pp. 43-47, 2014.

M. A. Al-Barrak and M. Al-Razgan, "Predicting Students Final GPA Using Decision Trees: A Case Study," Int. J. Inf. Educ. Technol., vol. 6, no. 7, pp. 528–533, 2016.

A. M. Sahariri, W. Husian, and N. Abdul Rashid, "A Review on predicting student’s performance using Data mining Techniques," in Elesevier, The Third Information Systems International Conference, pp. 414-422, 2015.

A. Abu Saa, "Educational Data Mining and Student’s Performance Prediction," Int. J. Adv. Comput. Sci. Appl., vol. 7, no. 5, 201624.

G. Arumugam and S. Suguna, "Predictive Prefetching Framework Based on New Preprocessing Algorithms Towards Latency Reduction," Asian Journal of Information Technology, Medwell Journals, ISSN: 1682-3915, 2008.

C. Anuradha and T. Velmurugan, "A Comparative Analysis on the Evaluation of Classification Algorithms in the Prediction of Students Performance," in Brijesh Kumar and Saurabh, Indian Journal of Science and Technology, vol. 8, no. 15, 2015.

B. Kumar, S. Pal, "Mining Educational Data to Analyze student’s performance," Int. J. Adv. Comput. Sci. Appl., vol. 2, no. 6, 2011.

D. Kabakchieva, "Student performance by using Data mining Classification Algorithms," Int. J. Comput. Sci. Manag. Res., vol. 1, 2012.

E. Red, T. Tesaionica, and B. Priags, "Classification of Students performance in a Learning Management System Using their eLearning Readiness Attributes," Research Gate, 2015.

I. H. Witten and E. Frank, "Data mining: practical machine learning tools and techniques," Morgan Kaufmann, 2000.

International Educational Data Mining Society. [Online]. Available: http://www.educationaldatamining.org/.

S. Jothilakshmi, Dr. M. Thangaraj, "Design and Development of Recommender System for Target Marketing of Higher Education Institution Using EDM," Int. J. Appl. Eng. Res., vol. 13, 2018.

K. Adhatrao and A. Gaykar, "Predicting Studnet’s Performance using ID3 and C4.5 classification Algorithms," Int. J. Data Min. Knowl. Manag. Process, vol. 3, 2013.

T. Mishra, D. Kumar, and S. Gupta, "Students’ Employability Prediction Model through Data Mining," Int. J. Appl. Eng. Res., vol. 11, no. 4, pp. 2275-2282, 2016.

B. Minaei-Bidgoli et al., "Predicting student performance: an application of data mining methods with an educational Web-based system," in 33rd Annual Frontiers in Education (FIE 2003), Westminster, CO, 2003.

O. K. Oyedotun, S. N. Tackie, and E. O. Olaniyi, "Data Mining of Student’s Performance: Turkish Students as a Case Study," Int. J. Intell. Syst. Appl., vol. 7, no. 9, pp. 20-27, 2015.

P. Kaur, M. Singh, and G. Josan, "Classification and Prediction based data mining algorithms to predict slow learnears in education sector," in Elsevier, Procedia Computer Science, pp. 500-508, 2015.

M. Ramaswami and R. Bhaskaran, "A CHAID based performance prediction model in educational data mining," Int. J. Comput. Sci., vol. 7, no. 1, pp. 10-18, 2010.

C. Romero and S. Ventura, "Educational data mining: A survey from 1995 to 2005," Expert Syst. Appl., vol. 33, no. 1, pp. 135-146, 2007.

S. Slater et al., "Tools for Educational Data Mining: A Review," J. Educ. Behav. Stat., 2016.

P. Strecht et al., "A Comparative Study of Classification and Regression Algorithms for Modelling Students’ Academic Performance," in International Educational Data Mining Society, pp. 392-395, 2015.

P. Sharma, D. Singh, and A. Singh, "Classification Algorithms on a Large Continuous Random Dataset Using Rapid," in IeeeSpons. 2Nd Int. Conf. Electron. Commun. Syst., 2015.

G. Sujatha, Sindhu, "Predicting student performance using personalized analytics," Int. J. Pure Appl. Math., vol. 119, no. 12, pp. 229-238, 2018.

E. Venkatesan, S. Selvaragini, "A Study on the result based analysis of student performance using Data mining," Int. J. Pure Appl. Math., vol. 116, no. 16, pp. 375-379, 2017.

S. K. Yadav, B. Bharadwaj, and S. Pal, "A comparative study for predicting student’s performance," Int. J. Innov. Technol. Creat. Eng., vol. 1, no 12, 2012.

S. K. Yadav and S. Pal, "A Prediction for Performance improvement of engineering students using classification," World of Comput. Sci. Inf. Technol., vol. 2, no. 2, pp. 51-56, 2012.

B. J. Zimmerman and A. Kitsantas, "Comparing student’s self-discipline and self-regulation measures and their prediction of academic achievement," Contemp. Educ. Psychol., vol. 39, no. 2, pp. 145-155, 2014.

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Published

20-10-2018

How to Cite

Jothi Lakshmi, S., & Thangaraj, M. (2018). Recommender System for Student Performance Using EDM. Asian Journal of Computer Science and Technology, 7(3), 53–57. https://doi.org/10.51983/ajcst-2018.7.3.1898