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Reseach Article

Evaluation of Object Oriented Programming Skills of Students with respect to Trait Emotional Intelligence based on Students Performance

by V. Maria Antoniate Martin
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 48 - Number 10
Year of Publication: 2012
Authors: V. Maria Antoniate Martin
10.5120/7387-0187

V. Maria Antoniate Martin . Evaluation of Object Oriented Programming Skills of Students with respect to Trait Emotional Intelligence based on Students Performance. International Journal of Computer Applications. 48, 10 ( June 2012), 34-40. DOI=10.5120/7387-0187

@article{ 10.5120/7387-0187,
author = { V. Maria Antoniate Martin },
title = { Evaluation of Object Oriented Programming Skills of Students with respect to Trait Emotional Intelligence based on Students Performance },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 48 },
number = { 10 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 34-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume48/number10/7387-0187/ },
doi = { 10.5120/7387-0187 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:43:45.567905+05:30
%A V. Maria Antoniate Martin
%T Evaluation of Object Oriented Programming Skills of Students with respect to Trait Emotional Intelligence based on Students Performance
%J International Journal of Computer Applications
%@ 0975-8887
%V 48
%N 10
%P 34-40
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data Mining is the exploration and analysis of large quantities of data in order to discover meaningful, trends, relationships and rules. The objective of this study is to evaluate the students' object oriented programming skills and the trait emotional intelligence ('TEI') based on the performance of the individual, this study also engages how skilled a student is in programming in accordance to the factors like academics, locality and gender. The student's character was divided into five trait emotional intelligence variables using the Trait Emotional Intelligence Questionnaire (TEIQue). These variables are wellbeing, self-control, emotionality, sociability and global trait EI. Likert scale was used to measure the TEI factors. Two Data mining techniques were applied in the resultant data set, (i) Association Rule Mining and (ii) Multilayer Perceptron. In this experiment the programming skills of the students were very strong of those who scored high in self-control, sociability and wellbeing and male students from rural areas, whereas female students who had scored high in sociability achieved first class in the same. This analysis can be used to improve the students' programming skills. They know about their levels and what could be done to improve themselves.

References
  1. Jiawei Han and Micheline Kamber, "Data Mining: concepts and techniques", Morgan Kaufmann Publishers, San Francisco, 2006.
  2. L. Arockiam et. al, "Deriving Association between Urban and Rural Students Programming Skills", IJCSE International Journal of Computer Science and Engineering, Vol. 02, No. 03, 2010, 687-690.
  3. S. Kannan and R. Bhaskaran, "Association Rule Pruning based on Interestingness Measures with Clustering", IJCSI International Journal Of Computer Science Issues, Vol. 6, No. 1, 2009, ISSN: 1694- 0784.
  4. Rakesh Agrawal, Tomasz Imielinski and Arun Swami, "Mining Association Rules between Sets of Items in Large Databases", Proceedings of the 1993 ACM SIGMOD Sonference Washington DC, USA, May 1993.
  5. Norazlina Khamis and Sufian Idris, "Investigation current object oriented programming assessment method" in Malaysia's University, Proceeding of the International Conference on Electrical Engineering and Informatics, Institut Teknologi Bandung, Indonesia June 17-19, 2007.
  6. Dhanraj, A. Ramesh and A. Suresh Kumar, "Recommended System for Students Academic Performance based on Personality and Informal Learning", International Journal of Computer Applications (0975 – 8887) Volume 33- No. 7, November 2011.
  7. V. Maria Antoniate Martin, M. Edison and George Gabriel Richard Roy, "An Association between Trait Emotional Intelligence and Personality Trait based on Students Performance", CiiT International Journal of Software Engineering and Technology, March 2012, ISSN: 0974 – 9632.
  8. Natalie L. Shipley, Mary Jo Jackson and Sharon Larisa Segrest, "The effects of emotional intelligence, age, work experience, and academic performance", Research in Higher Educational Journal.
  9. C. Romero and S. Ventura, "Educational Data Mining: A Survey from 1995 t0 2005", Expert System with Applications 33 (2007) 135 – 146.
  10. E. Chandra and K. Nandhini, " Knowledge Mining from Student Data", European Journal of Scientific Research, Vol. 47, No. 1 (2010), pp. 156 – 163, ISSN: 1450 - 216X.
  11. C. Deep, K. SathiyaKumari and V. Pream Sudha, "Prediction of the Compressive Strength of High Performance Concrete Mix Usig Tree Based Modeling", International Journal of Computer Applications (0975 – 8887) Volume 6- No. 5, September 2010.
  12. C. Deep, K. SathiyaKumari and V. Pream Sudha, "A Tree Based Model for High performance Concrete Mix Design", International Journal of Science and Technology. Vol. 2(9), 2010, 4640-4646.
  13. K. V. Petridesa, Norah Fredericksonb, Adrian Furnhamb "The role of trait emotional intelligence in academic performance and deviant behavior at school", Personality and Individual Differences, Vol. 36, 2004, pp. 277–293.
  14. Stella Mavroveli, K. V. Petrides, Carolien Rieffe, Femke Bakker, "Trait emotional intelligence, psychological well-being and peer-rated social competence in adolescence", British Journal of Developmental Psychology, 2007, Vol. 25, pp. 263–275.
  15. Stella Mavroveli, K. V. Petrides, Chloe Shove, Amanda Whitehead, "Investigation of the construct of trait emotional intelligence in children", Eur Child Adolesc Psychiatry, 2008, Vol. 17, pp. 516–526.
  16. Andrew Cooper, K. V. Petrides, "A Psychometric Analysis of the Trait Emotional Intelligence Questionnaire–Short Form (TEIQue–SF) Using Item Response Theory Journal of Personality Assessment, 2010, Vol. 92(5), pp. 449–457.
  17. Maria Josesa Nchez-Ruiz, Juan Carlos Perez-Gonzalez, K. V. Petrides, "Trait emotional intelligence profiles of students from different university faculties", Australian Journal of Psychology, 2010, Vol. 62, No. 1, pp. 51–57.
  18. M. J. Sánchez-Ruiz, D. Hernández-Torrano, J. C. Pérez-González, M. Batey and K. V. Petrides "The Relationship between Trait Emotional Intelligence and Creativity Across Subject Domains" Springer, 2011.
  19. Genetic and Environmental Correlations between Trait Emotional Intelligence and Humor Styles
  20. .
Index Terms

Computer Science
Information Sciences

Keywords

Association Rule Mining Multilayer Perceptron Tei Programming Skills