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AN ANALYSIS OF THE SELF EFFICACY ABOUT COMPUTER PROGRAMMING OF THE ELECTRICAL-ELECTRONICS AND TEXTILE ENGINEERING STUDENTS IN TECHNOLOGY FACULTY

Journal Name:

  • Journal of Educational and Instructional Studies in the World

Publication Year:

  • 2017

Key Words:

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
In this study, it is examined how the self-efficacy perception, which is as effective as cognitive level of academic achievement, changes according to department and sex in computer programming. Selfefficacy perception scale related to programming is used as data collection tool in the study. The research group consists of 119 students who take computer programming course in electricalelectronics and textile engineering departments of Marmara University Faculty of Technology during the spring semester of 2016-2017 academic year. The results of the study revealed that; the selfefficacy of students is high to perform simple programming tasks, but low in terms of performing complex programming tasks. In addition, it is observed that students in the electrical-electronics engineering department have a higher self-efficacy perception than students in the textile engineering department. Also self-efficacy beliefs differed with respect to their gender, male students have a higher self-efficacy perception than female students.
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REFERENCES

References: 

Altun, A., & Mazman, S. G. (2012). Programlamaya ilişkin öz yeterlilik algısı ölçeğinin Türkçe
formumun geçerlilik ve güvenirlik çalışması. Eğitimde ve Psikolojide Ölçme ve Değerlendirme Dergisi,
3 (2), 297-308.
Askar, P., & Davenport, D. (2009). An investigation of factors related to self-efficacy for Java
programming among engineering students. TOJET: The Turkish Online Journal of Educational
Technology, 8 (1).
Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychological review,
84 (2), 191.
Bandura, A. (1986). The explanatory and predictive scope of self-efficacy theory. Journal of social and
clinical psychology, 4 (3), 359-373.
Bandura, A., & Cervone, D. (1986). Differential engagement of self-reactive influences in cognitive
motivation. Organizational behavior and human decision processes, 38 (1), 92-113.
Byrne, P., & Lyons, G. (2001). The effect of student attributes on success in programming. Paper
presented at the ACM SIGCSE Bulletin.
Cigdem, H. (2015). How Does Self-Regulation Affect Computer-Programming Achievement in a
Blended Context? Contemporary Educational Technology, 6 (1), 19-37.
Gezgin, D. M., & Adnan, M. (2016). Makine Mühendisliği ve Ekonometri Öğrencilerinin Programlamaya
İlişkin Öz Yeterlik Algılarının İncelenmesi. Journal of Kirsehir Education Faculty, 17 (2).
Karasar, N. (2006). Bilimsel Araştırma Yöntemi . Ankara: Nobel Yayın Dağıtım.
Karsten, R., & Roth, R. M. (1998). Computer self-efficacy: A practical indicator of student computer
competency in introductory IS courses. Informing Science, 1 (3), 61-68.
Korkmaz, Ö., & Altun, H. (2014). Adapting Computer Programming Self-Efficacy Scale and Engineering
Students' Self-Efficacy Perceptions. Online Submission, 1 (1), 20-31.
JOURNAL OF EDUCATIONAL
AND INSTRUCTIONAL STUDIES IN THE WORLD
November 2017, Volume: 7 Issue: 4 ISSN: 2146-7463
COPYRIGHT © JOURNAL OF EDUCATIONAL AND INSTRUCTIONAL STUDIES IN THE WORLD
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Ramalingam, V., LaBelle, D., & Wiedenbeck, S. (2004). Self-efficacy and mental models in learning to
program. Paper presented at the ACM SIGCSE Bulletin.
Shapiro, R. J. (2014). The US Software Industry As an Engine for Economic Growth and Employment.
Soloway, E., & Ehrlich, K. (1984). Empirical studies of programming knowledge. IEEE Transactions on
software engineering (5), 595-609.
Van Dinther, M., Dochy, F., & Segers, M. (2011). Factors affecting students’ self-efficacy in higher
education. Educational research review, 6 (2), 95-108.
Watson, C., & Li, F. W. (2014). Failure rates in introductory programming revisited. Paper presented
at the Proceedings of the 2014 conference on Innovation & technology in computer science education.
Wilson, B. C., & Shrock, S. (2001). Contributing to success in an introductory computer science
course: a study of twelve factors. Paper presented at the ACM SIGCSE Bulletin.

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