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ERIC Number: EJ1368082
Record Type: Journal
Publication Date: 2023-Mar
Pages: 20
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-2211-1662
EISSN: EISSN-2211-1670
Modeling of Relationship of Personal and Affective Variables with Computational Thinking and Programming
Yildiz Durak, Hatice; Saritepeci, Mustafa; Durak, Aykut
Technology, Knowledge and Learning, v28 n1 p165-184 Mar 2023
Computational thinking skill is one of the basic skills required for every individual, such as reading and writing. For the development of CT, programming education is seen as the key. In the context of programming and CT relationship, it is very important to model individual characteristics and various affective variables with a holistic approach in the programming process. The purpose of this study is to determine and model the relationships of some individual characteristics, personal and affective variables for programming, with CT. One hundred and eighty-one middle school students participated in the implementation. As a result of the research, it was determined that there is a significant relationship between personal variables and attitude towards programming and interest in programming. On the other hand, it has been determined that there is no significant relationship between personal characteristics and self-efficacy for programming and the importance given to programming. In this model, the most influential predictor of attitude and interest towards programming was gender.
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://bibliotheek.ehb.be:2123/
Publication Type: Journal Articles; Reports - Research
Education Level: Junior High Schools; Middle Schools; Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A