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DOI: 10.14569/IJACSA.2019.0101124
PDF

Traditional Learning Problems of Computing Students

Author 1: Saima Siraj
Author 2: Akhtar Hussain Jalbani
Author 3: Muhammad Ibrahim Channa

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 11, 2019.

  • Abstract and Keywords
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Abstract: This paper aims to report the traditional learning problems of computing courses students. To identify the problems a questionnaire was framed to focus on the problems and issues faced by students while interacting in a traditional learning environment. The study tested the respondent’s attitude with five-point Likert Scale. The study was analyzed by using the NCSS program. Traditional learning problems were abridging by computing mean, median, mode, standard deviation and IRQ. This research highlights the problems of different computing courses particularly, problems of basic programming concepts, unable to write code, language barrier and confidence besides these, highlighted the various academic and non-academic problems. Reliability Analysis was achieved by Cronbach’s Alpha and got encouraging results of an 80% reliability coefficient.

Keywords: Traditional learning problems; computing education; statistical analysis of questionnaire

Saima Siraj, Akhtar Hussain Jalbani and Muhammad Ibrahim Channa, “Traditional Learning Problems of Computing Students” International Journal of Advanced Computer Science and Applications(IJACSA), 10(11), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0101124

@article{Siraj2019,
title = {Traditional Learning Problems of Computing Students},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0101124},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0101124},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {11},
author = {Saima Siraj and Akhtar Hussain Jalbani and Muhammad Ibrahim Channa}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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