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Reseach Article

Evaluation of Student Academic Performance using Improved Prism

by S. Umamaheswari, K.S. Divyaa
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 131 - Number 6
Year of Publication: 2015
Authors: S. Umamaheswari, K.S. Divyaa
10.5120/ijca2015907446

S. Umamaheswari, K.S. Divyaa . Evaluation of Student Academic Performance using Improved Prism. International Journal of Computer Applications. 131, 6 ( December 2015), 18-21. DOI=10.5120/ijca2015907446

@article{ 10.5120/ijca2015907446,
author = { S. Umamaheswari, K.S. Divyaa },
title = { Evaluation of Student Academic Performance using Improved Prism },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 131 },
number = { 6 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 18-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume131/number6/23453-2015907446/ },
doi = { 10.5120/ijca2015907446 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:26:33.283703+05:30
%A S. Umamaheswari
%A K.S. Divyaa
%T Evaluation of Student Academic Performance using Improved Prism
%J International Journal of Computer Applications
%@ 0975-8887
%V 131
%N 6
%P 18-21
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data mining techniques (DMT) are extensively used in educational field to find new hidden patterns from student’s data. Today, one of the main challenges that educational institutions face is the explosive growth of educational data of students and to use this data to improve the quality of decision-making. The study’s curiosity is in predicting the paths of students, thus identifying the student achievement. This paper takes consideration with the various factors on student performance in education in order to analyse the student achievement is high over schooling or in graduation.

References
  1. Ogor, Emmanuel N. "Student academic performance monitoring and evaluation using data mining techniques." Electronics, Robotics and Automotive Mechanics Conference, 2007.CERMA 2007.IEEE, 2007.
  2. Baker, R.S.J.d.: Data Mining for Education. In: McGaw, B., Peterson, P., Baker, E. (eds.) To appear in International Encyclopedia of Education, 3rd edn. Elsevier, Oxford (2010)
  3. Sachin,R.B., & Vijay, M. S, “A Survey and Future Vision of Data Mining in Educational Field”, Paper presented at the AdvancedComputing & Communication Technologies(ACCT), Second International Conference on 7- 8 Jan. 2012.
  4. Tair, Mohammed M. Abu, and Alaa M. El-Halees. "Mining educational data to improve students’ performance: a case study." International Journal of Information 2.2 (2012).
  5. Goyal, Monika, and RajanVohra. "Applications of data mining in higher education." International journal of computer science 9.2 (2012): 113.
  6. Abdul Aziz, Azwa, NurHafieza Ismail, and Fadhilah Ahmad."MININGSTUDENTS’ACADEMICPERFORMANCE." Journal of Theoretical and Applied Information Technology 53.3 (2013): 485-485.
  7. Bhardwaj, Brijesh Kumar, and Saurabh Pal. "Data Mining: A prediction for performance improvement usingclassification." arXivpreprintarXiv:1201.3418(2012).
  8. M.Kebritchi,andA.Hirumi,Examiningthe pedagogical foundations of modern educational computer games. Computers and Education, 5 (4): 1729-1743, 2008
  9. A. McFarlane, N. Roche, and P. Triggs, Mobile Learning:Research Findings. Becta, July 2007. http://partners.becta.org.uk/uploaddir/downloads/page_documents/research/mobile_learning_july07.pdf (accessed February4,2008),2007.
  10. MoMath, Mobile Learning for Mathematics: Nokia projectinSouthAfrica.SymbianTweet,http://www.symbiantweet.com/mobile-learning-formathematics-in-south-africa (access October 19, 2010), 2010.
  11. D. Perry, Handheld computers (PDAs) in schools. Becta,http://partners.becta.org.uk/page_documents/research/handhe lds.pdf (accessed September 27, 2010), 2003.
  12. J-H. Valk, A. T. Rashid, and L. Elder, Using Mobile Phonesto Improve Educational Outcomes: An Analysis of Evidencefrom Asia. The International Review of ResearchinOpenand Distance Learning, 11 (1), 2010.
Index Terms

Computer Science
Information Sciences

Keywords

DMT KDD EDM