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.

This study aimed to determine the influence of critical thinking skills on misconceptions using a five-tier instrument in mixed-method research. The sampling technique used is simple random sampling. The data collection instrument used a critical thinking skills questionnaire, a misconception test of electric field material, and interviews. Data collection begins with quantitative data, providing a misconception test sheet and a critical thinking skills questionnaire. After that, the researcher took qualitative data in the form of interviews to strengthen data that had been obtained previously. Then from the results of the regression coefficients, there is an influence of critical thinking skills on misconceptions. The descriptive results of critical thinking skills data show that the mean of critical thinking skills is 68.50, which means that students' critical thinking skills are in a good category. Then from the results of the regression coefficients, there is an effect of critical thinking skills on a misconception, with the probability number obtained being significant. The limitations of this study are only to identify and see the impact.

This paper describes an experience based on the use of an active method in which students of a basic physics course prepare multiple choice questions (MCQs) to prepare for exams in the subject. The objective of the research was to provide the students with a method that would enhance their desire to learn physics, and consequently lead to an improvement in their meaningful learning. The participants were 57 first-year students from various engineering degrees. The quasi-experimental design with pre- and post-tests and a control group is described. The results showed that students who use the method of generating MCQs to prepare exams sometimes improve their learning significantly in comparison with the control group. The method also provides a new way to detect students' misconceptions about the concepts covered in class, which thus allows the evolution of their knowledge to be evaluated. Finally, it should be noted that the students valued the method used positively.