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Recommender System for Student Academic Performance Based on Personality and Informal Learning

by S.Dhanaraj, A.Ramesh, S.Suresh Kumar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 33 - Number 7
Year of Publication: 2011
Authors: S.Dhanaraj, A.Ramesh, S.Suresh Kumar
10.5120/4034-5775

S.Dhanaraj, A.Ramesh, S.Suresh Kumar . Recommender System for Student Academic Performance Based on Personality and Informal Learning. International Journal of Computer Applications. 33, 7 ( November 2011), 30-36. DOI=10.5120/4034-5775

@article{ 10.5120/4034-5775,
author = { S.Dhanaraj, A.Ramesh, S.Suresh Kumar },
title = { Recommender System for Student Academic Performance Based on Personality and Informal Learning },
journal = { International Journal of Computer Applications },
issue_date = { November 2011 },
volume = { 33 },
number = { 7 },
month = { November },
year = { 2011 },
issn = { 0975-8887 },
pages = { 30-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume33/number7/4034-5775/ },
doi = { 10.5120/4034-5775 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:19:34.770884+05:30
%A S.Dhanaraj
%A A.Ramesh
%A S.Suresh Kumar
%T Recommender System for Student Academic Performance Based on Personality and Informal Learning
%J International Journal of Computer Applications
%@ 0975-8887
%V 33
%N 7
%P 30-36
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Educational Data Mining (EDM) mainly focuses on educational objectives like students’ academic performance analysis based on personality and informal learning in formal learning environment. The primary objective is to identify the outcome of informal learning style (library and ICT) in formal learning environment. The secondary objectives are analyzing the students’ personalities and purpose of resource utilization, identifying the resource usage level and etc. Eynseck Personality Questionnaire (EPQ) is used to classify the students’ personality. Resource Utilization scale and Likert scale are used to measure the utilization of resource usage. Criterion Reference Model is used to classify the students’ academic performance. Association rule is used to identify the frequent patterns among the set of attributes based on interesting measures. Multilayer perception technique provides the classification of confusion matrix result by applying cross-validation. This experiment can be used to improve the students’ intellectual capability and understanding the subjects. This analysis can be used to predict the students’ academic performance and the recommender system for students and management to improve the educative style of informal learning in formal learning environment and resource facilities.

References
  1. Adel Ben Youssef and MounirDahmani, “The impact of ICT’s on students’ performance in Higher Education: Direct effects, Indirect effects and Organizational change”, 2010.
  2. Agnes Ebi Maliki1 and Rachel D. Uche, “Students’ Background Variables and Utilization of Library Resources among Secondary School Students’ in Southern Senatorial District of Cross River State, Nigeria”, Stud. Tribes Tribals, 5(1): 21-23, 2007.
  3. Agrawal. R, Imielinski. T and Swami. A, “Mining association rules between sets of items in large databases”, Proceedings of the ACM SIGMOD Conference, Washington, DC (1993).
  4. AretiValasidou and DespoinaBousiou-Makridou, “The Impact of ICT’s In Education: The Case of University of Macedonia Students”, Journal of Business Case Studies, Vol 4, Num 3, 2008.
  5. Carlos E. Godoy Rodríguez and Ezequiel Zamora, “Educative uses of ICT, technological skills and academic performance of the Venezuelan university students” IJEDICT, Vol. 2, Issue 4, pp. 2843, 2006.
  6. Chandra. E and Nandhini. K, “Knowledge Mining from Student Data”, European Journal of Scientific Research, ISSN 1450-216X Vol.47 No.1, pp.156-163, 2010.
  7. Deepa.C , SathiyaKumari.K and Pream Sudha.V ,“Prediction of the Compressive Strength of High Performance Concrete Mix using Tree Based Modeling”, International Journal of Computer Applications (0975 – 8887)Volume 6– No.5, September 2010
  8. Haruki Nagata, Akira Toda and PaiviKytomaki, “Students’ Patterns of Library Use and Their Learning Outcomes”, 2008.
  9. Jiawei Han and Micheline Kamber, “Data Mining: concepts and techniques”, Morgan Kaufmann Publishers, San Francisco, 2006.
  10. Joe Frascotti, Jamie Levenseler, Collin Weingarten and Karl Wiegand, “Improving Library Use and Information Literacy at Caritas Charles Vath College”, 2007.
  11. Nahyun Kwon and Hana Song, “Personality traits, gender, and information competency among college students”,Malaysian Journal of Library & Information Science, Vol. 16, no. 1, 87-107, April 2011.
  12. NaserJamil Al-Zaidiyeen, Leong Lai Mei and Fong Soon Fook, “Teachers’ Attitudes and Levels of Technology Use in Classrooms: The Case of Jordan Schools”, International Education Studies Vol. 3, No. 2; May 2010.
  13. Nkoyo Edem, Okon Ani and Jonathan A. Ocheibi, “Students’ perceived effectiveness in the use of library resources in Nigerian universities”, Educational Research and Review Vol. 4(6), pp. 322-326, June, 2009.
  14. Oladokun.V.O, Adebanjo.A.T, and Charles-Owaba.O.E, “Predicting Students’ Academic Performance using Artificial Neural Network: A Case Study of an Engineering Course”, The Pacific Journal of Science and Technology, Volume 9. Number 1. May-June 2008.
  15. Richard B. Lamptey, “Promoting Effective Use of Library Resources and Services at Kwame Nkrumah University of Science and Technology Library”, 2010.
  16. Romero.C and Ventura.S, "Educational data Mining: A Survey from 1995 to 2005".Expert Systems with Applications (33), 2007, pp.135-146.
  17. Timothy Hebert and Robert Wolk, “Back to the Maxwell Library’s Future Student Library and Information Resource Usage”, Proc ISECON 2006.
  18. Yves Punie, Dieter Zinnbauer and Marcelino Cabrera, “A Review of the Impact of ICT on Learning” Working Paper prepared for DG EAC, JRC 47246, October 2006.
Index Terms

Computer Science
Information Sciences

Keywords

Personality Impact of library and ICT Academic performance Association rule Multilayer perception.

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