Reflective Thinking Skills on Computational Thinking And Problem Solving As A Predictor of Self-Efficacy of Informatics Teacher Candidates on Programming

Çiftçi, Serdar; Çengel, Meltem; Paf, Muhammed

doi:10.29299/kefad.2018.19.009

Cited by 9 publications

(1 citation statement)

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“…They also determined that the system prepared as a result of the research was effective on the teacher candidates' skills. On the other hand, Çiftci, Çengel and Paf (2018) found a significant positive relationship between the students' thinking skills and reflective thinking skills in problem solving. In this context, it is possible to say that different applications made in order to develop students' thinking skills in the implementation of training programs in India and Turkey.…”

Section: Conclusion and Discussionmentioning

confidence: 83%

Computational Thinking Skills of Turkish and Indian Teacher Candidates: A Comparative Study

Çakır¹

2021

IJPES

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The aim of this study is to compare computational thinking skills of teacher candidates who are educated in Turkey and India. For this purpose, 555 male and 212 female who are students in the Faculty of Education at a University in Turkey and, 239 male and 493 female who are students in Faculty of Education at University of Madras in India. Within the scope of the research, the “computer thinking skill levels scale" developed by Korkmaz, Çakır and Özden (2017) to measure the computer thinking skills of university students in Turkey was used. The scale consists of 29 items and five factors. The Cronbach alpha of Scale’ Turkish form is .822 and, Indian form is .769. Mean, standard deviation, t-test and ANOVA analyses were run on the collected data. According to the results, computational thinking skills of Indian teacher candidates are generally quite high, whereas Turkish teacher candidates are moderately high, and in both groups the students' highest level in term of factors is creativity, and the lowest one is problem-solving skill.

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Section: Conclusion and Discussionmentioning

confidence: 83%

Computational Thinking Skills of Turkish and Indian Teacher Candidates: A Comparative Study

Çakır¹

2021

IJPES

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Examination of the Computer Programming Self-Efficacy’s Prediction towards the Computational Thinking Skills of the Gifted and Talented Students

Avcu¹,

Ayverdi²

2020

INT J EDUC METHODOL

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<p style="text-align: justify;">The study's goal was to examine the correlation between the computer programming self-efficacy and computational thinking skills of gifted and talented students. The capacity of the computer programming self-efficacy of gifted and talented students to predict their computational thinking skills were also examined. The relational screening model has been implemented in the research. The participants of the study were composed of 106 secondary school gifted and talented students studying the Individual Ability Recognition Program (IAR) at the Science and Art Center in the city center. Typical case sampling was applied for the student identification of the participants, 46 are female and 60 are male. Gifted and talented students' computational thinking skills were assessed using the "Computational Thinking Skills Scale” and the computer programming self-efficacy was measured by using the "Computer Programming Self-Efficacy Scale". Data were analysed by Pearson correlation analysis and simple linear regression analysis in statistical software SPSS 22. Research results found that there was a positive and high correlation between the computer programming self-efficacy and computational thinking skills. The gifted and talented students' computer programming self-efficacy demonstrated 31.5% of the total variance in computational thinking skills. This finding supports the claim which is present in the literature that self-efficacy in computer programming is the affective aspect of computational thinking skills. To predict computational thinking skills, it may be recommended to build multiple models for cognitive and affective skills of gifted and talented students.</p>

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Üniversite Öğrencilerinin Problem Çözme ve Algoritmik Düşünme Beceri Düzeylerinin İncelenmesi: Çanakkale Teknik Bilimler MYO Örneği

Demir

2022

Abant İzzet Baysal Üniversitesi Eğitim Fakültesi Dergisi

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Bu araştırma, önlisans eğitimi seviyesinde programlamanın temelleri ve matematik dersi almış olan Teknik Bilimler MYO Bilgisayar Teknolojileri bölümü ön lisans öğrencilerinin algoritmik düşünme yeterlilikleri ile problem çözme becerilerini saptayarak bu iki yeterlilik arasındaki ilişkiyi saptamak gerçekleştirilmiştir. Bu çalışmada, betimsel araştırma yöntemlerinden tarama araştırma modeli kullanılmıştır. Araştırma kapsamında Hepner ve Petersen (1982) tarafından hazırlanan Taylan (1990) tarafından Türkçe’ye uyarlaması gerçekleştirilen problem çözme ölçeği ile araştırmacı tarafından geliştirilen algoritma bilgi testi kullanılmıştır. Geliştirilen başarı testinin ön uygulama güvenirlik katsayısı 0,70 olarak saptanmıştır. Çalışmanın örneklemini Çanakkale Onsekiz Mart Üniversitesi Teknik Bilimler MYO’ da Bilgisayar Teknolojileri bölümünde öğrenimlerini sürdürmekte olan 52 öğrencidir. Araştırma sonucunda; bilgisayar teknolojileri alan öğrencilerinin algoritmik düşünme (ortalama 100 üzerinden = 64,04) ve problem çözme becerilerinin (ortalama 210 üzerinden = 151,635) düşük olduğu bulunmuştur. Öğrencilerin algoritmik düşünme yeterliliklerinin programlamanın temelleri (x2 = 14,601; p = 0,041 < α = 0,05) ve matematik dersi (2 =16,231; p = 0,039 < α = 0,05) notlarına göre farklılaşırken, cinsiyet (U = 117; p = 0,273 > α = 0,05) durumuna göre ise farklılaşmadığı bulunmuştur. Problem çözme becerilerinin ise cinsiyet (U = 151; p = 0,862 > α = 0,05), matematik (x2 = 13,067; p = 0,110 > α = 0,05) ve programlama temelleri (X2 =11,707; p = 0,111 > α = 0,05) dersi notlarına göre farklılaşmadığı bulunmuştur. Algoritma başarısı ile problem çözme becerisi arasında ise orta düzeyde pozitif yönde (r = 0,385; p = 0,005 < α = 0,05) anlamlı bir ilişki olduğu belirlenmiştir.

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Reflective Thinking Skills on Computational Thinking And Problem Solving As A Predictor of Self-Efficacy of Informatics Teacher Candidates on Programming

Cited by 9 publications

References 0 publications

Computational Thinking Skills of Turkish and Indian Teacher Candidates: A Comparative Study

Computational Thinking Skills of Turkish and Indian Teacher Candidates: A Comparative Study

Examination of the Computer Programming Self-Efficacy’s Prediction towards the Computational Thinking Skills of the Gifted and Talented Students

Üniversite Öğrencilerinin Problem Çözme ve Algoritmik Düşünme Beceri Düzeylerinin İncelenmesi: Çanakkale Teknik Bilimler MYO Örneği

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