Investigating Students’ Achievements in Computing Science Using Human Metric

This study investigates the role of personality traits, motivation for career choice and study habits in students’ academic achievements in the computing sciences. A quantitative research method was employed. Data was collected from 60 computing science students using the Myer Briggs Type indicator (MBTI) with additional questionnaires. A model of the form y_(ij=ß_0+ß_1 x_(1j+ ) ß_2 x_(2j+ ) ß_3 x_(3j+ ) ß_4 x_(4j+ )…ß_n x_nj ) was used, where y_ij represents a dependent variable, ß_0+ß_1 x_(1j+ ) ß_2 x_(2j+ ) ß_3 x_(3j+ ) ß_4 x_(4j+ )…ß_n x_nj the independent variables. Data analysis was performed on the data using the Statistical Package for the social sciences (SPSS). Linear regression was done in order to fit the model and justify its significance or none significance at the 0.05 level of significance. Result of regression model was also used to determine the impact of the independent variable on students’ performance. Results from this study suggests that the strongest motivator for a choice of career in the computing sciences is the desire to become a computing professional. Students’ achievements especially in the computing sciences do not depend only on students temperamental ability or personality traits, motivations for choice of course of study and reading habit, but also on the use of Internet based sources more than going to the university library to read book materials available in all areas

@article{Okike2014,
  title     = {Investigating Students’ Achievements in Computing Science Using Human Metric},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {5},
  number    = {4},
  year      = {2014},
  publisher = {The Science and Information Organization},
  author    = {Ezekiel U. Okike},
  doi       = {10.14569/IJACSA.2014.050426},
  url       = {https://doi.org/10.14569/IJACSA.2014.050426}
}