CFP last date
20 January 2025
Reseach Article

An Analysis on Finding the Influencing Factors that Affecting Part Time Students to Complete Degree in Prescribed Time using Data Mining Techniques

by B. Rama, S. Prakasam
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 129 - Number 8
Year of Publication: 2015
Authors: B. Rama, S. Prakasam
10.5120/ijca2015906975

B. Rama, S. Prakasam . An Analysis on Finding the Influencing Factors that Affecting Part Time Students to Complete Degree in Prescribed Time using Data Mining Techniques. International Journal of Computer Applications. 129, 8 ( November 2015), 15-18. DOI=10.5120/ijca2015906975

@article{ 10.5120/ijca2015906975,
author = { B. Rama, S. Prakasam },
title = { An Analysis on Finding the Influencing Factors that Affecting Part Time Students to Complete Degree in Prescribed Time using Data Mining Techniques },
journal = { International Journal of Computer Applications },
issue_date = { November 2015 },
volume = { 129 },
number = { 8 },
month = { November },
year = { 2015 },
issn = { 0975-8887 },
pages = { 15-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume129/number8/23093-2015906975/ },
doi = { 10.5120/ijca2015906975 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:22:52.606715+05:30
%A B. Rama
%A S. Prakasam
%T An Analysis on Finding the Influencing Factors that Affecting Part Time Students to Complete Degree in Prescribed Time using Data Mining Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 129
%N 8
%P 15-18
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Education is common for all. Education molds the mind of the people. The advantage of part time education is the people can work as well as they continue their studies. After marriage women have less chance to continue her education in regular basis. In such case part time education is useful for them. For men according to their family situation they can’t study in regular basis. In part time education they can work and earn money and they can study. The main objective of this work is to find the factors that affecting part time student’s degree completion in prescribed time. The purpose of this work is to investigate the obstacles that stand in the way of increasing part time degree completion. The Questionnaire was designed to analyze the influencing factors. Family related reasons, Student related reason and Employment related reasons from these situations data are collected. The WEKA software tool is used for implementation since it is widely used for research purpose in data mining.

References
  1. Shale, D., & Roche, J. (1998). Not all part-time students are the same. Presented to the Canadian Institutional Research and Planning Association Annual Conference, October 1998. Office of Institutional Analysis, University of Calgary.
  2. Ahern, K. &Manathunga, C. (2004) Clutch-starting stalled research students.Innovative Higher Education, 28 (4), 237-254.
  3. Green, H. and Powell S. (2005) Doctoral Study in Contemporary Higher Education. Maidenhead: SHRE and Open University Press.
  4. Leonard, D., Metcalfe, J., Becker, R. and Evans, J. (2006) Review of literature on the impact of working context and support on the postgraduate research student learning experience. Higher Education Academy and UK GRAD Programme.
  5. Ibrahim, Norhayati, "Exploring factors affecting part-time students academic success in Malaysian polytechnic institutions" (2011).Graduate Thesesand Dissertations.Paper 10060.http://lib.dr.iastate.edu/etd/10060
  6. Bean, J. P., &Metzner, B. S. (1985). A conceptual model of non-traditional undergraduate student attrition. Review of Educational Research, 55(4), 485–540.
  7. Berker, A. & Horn, L. (2004). Work first, study second: adult undergraduate who combine employment and post secondary enrolment. Education Statistics Quarterly. 5(3), 122-134
  8. Bui, K. V. T. (2002).First-generation college students at a four-year university: Background characteristics, reasons for pursuing higher education, and first-year experiences. College Student Journal, 36(1), 3–11.
  9. Carney-Crompton, S., & Tan, J. (2002). Support systems, psychological functioning, and academic performance of non-traditional female students. Adult Education Quarterly, 52(2), 140–154.
  10. S. Dhivya M.Phil(cs) Research Scholar SCSVMV University Enathur, Kanchipuram. S. Prakasam, Ph.D Assistant Professor Department of CSA, SCSVMV University Enathur, Kanchipuram.An Analysis on finding the influencing factor of preventing the employment among the educated women using data mining techniques. International Journal of Computer Applications (0975 – 8887) Volume 101- No. 7, September 2014.
  11. Factors preventing young people from continuing in education
  12. J.F Superby and J.P. Vandamme N. Meskens Determination of factors influencing the achievement of the first-year university students using data mining methods Production and operations management Department, Catholic University of Mons, Chaussee de binch 151,7000 Mons, Belgium.
  13. M Prema and S Prakasam Effectiveness of Data Mining - based E-learning system (DMBELS). International Journal of Computer Applications (0975-8887) Volume 66-No.19,March 2013.
  14. Students’ Dropout Risk Assessment in Undergraduate Courses of ICT at Residential University – A Case Study.
  15. Importance of education article the Hindu
  16. https://en.wikipedia.org/wiki/Part-time_learner_in_higher_education
  17. Know Your Risk Factors for Delaying Graduation, Accumulating More Debt
  18. https://www.learning.ox.ac.uk
  19. https://en.wikipedia.org/wiki/weka_(machine_learning)
  20. https://en.wikipedia.org/wiki/spss.
Index Terms

Computer Science
Information Sciences

Keywords

WEKA Data mining