A comprehensive assessment of secondary school students’ computational thinking skills

Author(s):  
Elif Polat ◽  
Sinan Hopcan ◽  
Sevda Kucuk ◽  
Burak Sisman
Author(s):  
Wafa Abed M Al-Harbi, Sanaa Saleh Askool

This study aims to identify the effectiveness of participation in a blog for extra-curricular activities for developing the critical thinking skills of third secondary students in Jeddah. The sample consisted of (100) students from several schools in Jeddah, Saudi Arabia randomly selected and divided into (50) experimental group, (50) control group. The study used the Semi-experimental method and conducted the Watson and Glaser test for critical thinking. The results of the study showed that there were statistically significant differences (0.05) among the experimental group (individual and cooperative) For the officer in the brother Bar dimensional test critical thinking skills for the benefit of the experimental group because of its effect for the use of a typical blog (single, cooperative).


2020 ◽  
Vol 8 (7) ◽  
pp. 3085-3096
Author(s):  
Nurdiyah Lestari ◽  
K. Ivo Basri ◽  
St. Muthmainnah Yusuf ◽  
S. Suciati ◽  
Mohammad Masykuri

2021 ◽  
Vol 27 (3) ◽  
pp. 285-302
Author(s):  
Güldem Alev Özkök

This research aims to model the process of data visualization (DV) and design to facilitate computational thinking (CT) of secondary-level students. As an interdisciplinary method for visualizing complex data, creating data visualizations requires learners to analyze data from knowledge of pure and applied science. This study investigates creating DV to facilitate CT as an interdisciplinary method which combines mathematics and information technology. The study was carried out using synthesised design-based research (DBR) method by conducting two cycles comprised of five phases: problem analysis within real-life context, design solution, develop solution, evaluate in practice and reflection. CT dimensions (decomposition, pattern recognition, abstraction, and algorithm design) were tested by using the Computational Thinking through Data Visualization Rubric and reflection form acquired during implementation. The sample consisted of secondary school students in the data visualization creation process with 27 in the first cycle and 31 in the second cycle. This research proposes a model to facilitate development of CT by DV with the analysis of complex data, creating an effective method by enabling analytics and visualizing data. The proposed DV development process facilitating CT has the potential to inform research on interdisciplinary learning environments.


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