We live in such an age that computer technologies and machines are one
of the most crucial parts of human beings lives that our need and
dependency to them growing exponentially day by day. This leads to
increased need of more human power and involvement in programming
computers and machines. Despite the increasing need however, studies
indicate that number of students that prefers departments regarding
computer and machine programming, software developing and engineering is
declining. In this direction, it is necessary to examine the factors
that are related to computer programming and to investigate the reasons
of developments mentioned earlier. Therefore, this study aimed to
examine the psychological factors that are thought to be related to
computer programming self-efficacy. In order to do that, relationships
between computer programming self-efficacy, attitude toward computer
programming, psychological resilience and problem solving were
investigated by using correlation test and structural equation modeling.
Students from four different departments and state universities filled
out a questionnaire that contains Computer Programming Self-Efficacy
Scale (CPSES), Attitude Scale Toward Computer Programming (ATCP), Brief
Resilience Scale (BRS), Social Problem Solving Inventory-Short Form
(SPSI-SF) voluntarily and anonymously. As a result of the analyses, it
was observed that computer programming self-efficacy was related
positively to confidence and motivation in learning computer
programming, psychological resilience, positive problem orientation and
rationale problem solving, and also it was negatively related to
negative problem orientation. The findings were discussed in the light
of existing literature.
Computer programming self-efficacy Attitude toward computer programming psychological resilience problem solving
Journal Section | Makaleler |
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Authors | |
Publication Date | June 30, 2017 |
Submission Date | September 28, 2017 |
Published in Issue | Year 2017 Volume: 5 Issue: 1 |
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