Investigation of Attitudes Towards Computer Programming in Terms of Various Variables

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 30 Apr 2016Publisher:Academy and Industry Research Collaboration Center (AIRCC)Journal:International Journal of Programming Languages and Applications, volume 6, pages 1-9 (eissn: 1839-6291,

Copyright policy )

Authors: Abdulkadir Karaci;

Investigation of Attitudes Towards Computer Programming in Terms of Various Variables

- Summary
- Subjects
- Metrics

Abstract

This study aims to determine the attitudes of individuals towards computer programming in terms of various variables. The study group consists of the students of Kastamonu University Department of Computer Education and Instructional Technologies Teaching (CEIT), Department of Computer Engineering, and Department of Computer Programming. Data were collected via Attitude towards Computer Programming Scale (AtCPS).The results of this study show that students have neutral attitudes towards computer programming in general. Male computer programming students have significantly higher attitudes towards programming in comparison to female computer programming students. In addition, attitude towards computer programming statistically varies by grade. The higher is grade, the lower is attitude. The more time CEIT and computer programming students spend on computer for programming purposes daily, the more positive attitudes they have towards programming. Attitude significantly varies by graduated high school only among CEIT students

Related Organizations

Kastamonu University
Turkey

Keywords

Programming; attitude towards programming; attitude scale

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	8
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average