Knowledge Level and Self-Confidence on The Computational Thinking Skills Among Science Teacher Candidates

Abstract

The trending topic in today's education is computational thinking skills which are used to help to solve complicated problems easier. This study aims to identify the level of knowledge and self-confidence of science teacher candidates (physics and biology) on computational thinking skills. The survey research design was used through a mixed-method approach by combining quantitative and qualitative approaches. The quantitative study involved 1016 randomly selected groups of science teachers whilein the qualitative study, eight science teachers were chosen based on the scores obtained from the quantitative study. The questionnaire was used as a quantitative data collecting technique to analyze descriptive statistics. Then, an interview was used as the qualitative data collecting technique and was analyzed through theme creation. The findings show that science teacher candidates have a high level of knowledge and self-confidence. The implication of this study is very important for teacher candidates because computational thinking can help to facilitate problems solving in everyday life. Teacher candidates need to be given knowledge and understanding of computational thinking skills, to have readiness and self-confidence in facing the challenges of the learning in the 21st-century

Effect of Application Smart Circuit Learning Media to Mathematics Learning Outcomes: A Case Study of Islamic School Students

“…Then it can be seen that by implementing smart circuit learning media in the teaching and learning process (Anwar, Choirudin, Ningsih, Dewi, &Maseleno, 2019) can improve student learning outcomes. So that there is a positive influence on students' mathematics learning outcomes by applying smart circuit learning media (Rahayu & Osman, 2018).Thus the application of smart circuit learning media has a positive effect on the mathematics learning outcomes of class VII students in the even semester at Islamic School of Bandar Lampung in the academic year 2018/2019.…”

Benefits and Challenges of Applying Computational Thinking in Education

“…This taxonomy serves as a way to improve existing pedagogy and curriculum with more advanced computational thinking practices in the twenty-first century [38]. Therefore, teachers should be prepared to follow these developments to achieve better educational goals, and research results show that science teachers have the essential level of knowledge [39]. This is because teachers are one of the key leaders responsible for the teaching and learning process [40].…”

“…This statement is less in line with the studies conducted by [5] and [37], which show that computational thinking is not just about using computers, but is instead related to the cognitive process of solving a problem, and with CT skills, people can understand the problem they are facing and develop a reasonable solution. Low levels of knowledge will also have an impact on teachers' individual capabilities [52].…”

Design and Development of Matter Module with the Integration of Computational Thinking by Employing ADDIE Model

“…However, the teaching and learning of topics in schools, especially Mathematics and Science, is still questioned regarding how this learning experience can foster computational thinking skills. Efforts to build these skills are still limited due to teachers' lack of exposure to computational skills (Senin & Nasri, 2019), particularly how this skill can be integrated into the learning content and activities (Rahayu & Osman, 2019). Furthermore, most studies emphasise using computational thinking as an intervention (Khasyyatillah & Osman, 2019;Chongo et al, 2021) rather than discussing the design aspect of developing a module that integrates computational thinking in-depth.…”