소프트웨어 활용 탐구 활동을 통한 고등학생의 프로그래밍과 컴퓨팅 사고력에 대한 인식 변화와 과학 학습에 대한 태도 조사 -스크래치와 피지컬 컴퓨팅 교구의 활용을 중심으로-

Software education has emerged as a hot topic around the world, with the goal to raise interests on computational thinking. However, assessments on the computational thinking have not been actively conducted thus far. According to a study by Lee (2019), which analyzed 138 papers on computational thinking published in Korean journals from 2015 to 2018, software education has been introduced and studies on computational thinking are being conducted, but studies on teaching methods that2 improve computational thinking are needed. In this study, we developed and applied a primary educational programming language(EPL) program focused on execution time analysis aimed at improving computational thinking. By using the “Bebras Challenge” as an assessment tool and SPSS as a statistical tool, educational effects were analyzed through the results of pre- and post-computational thinking assessments. The analysis outcomes showed that the EPL education focused on execution time analysis was effective in improving the computational thinking of elementary school students. Putting execution time analysis EPL into primary software education as an educational topic will be effective in improving computational thinking.

Educational Robotics (ER) is a tool that can favor teamwork, stimulate creativity, and the ability to solve students' problems through the process of assembling and programming robots. In this sense, ER has been used to improve educational practices. There are several initiatives that seek to stimulate Computational Thinking (CT) to stand out. Although ER being used to develop CT, there are still no guidelines based on scientific studies that support this use. The objective of this Research Full Paper is to identify: a) the main pedagogical approaches are applied in classes with ER focused on developing students' CT; b) the central difficulties are encountered in classes with ER focused on developing students' CT; c) the CT skills are presents in classes with ER focused on developing students' CT; d) the instruments are used to assess students' CT during classes with ER; e) the students' profile who participated in classes with ER focused o on developing students' CT; f) the educational robotics technologies are adopted in classes focused on developing students' CT. To achieve these goals, we planned and carried out systematic mapping of the literature. The results show that, through ER, CT is approached through the teaching of programming languages in a collaborative way in Early Childhood and High School. The most CT skills observed are related to programming, such as sequencing, algorithm, loop, generalization, decomposition, and debugging. The main instruments for assessing students are tests, and the most significant difficulty is the limitation of class hours. Finally, LEGO® is the most used technology in class.

Across the world there has been a paradigm shift in school education, as many countries are incorporating Computer Science (CS), programming, and Thinking (CT), into their K-12 curriculums for the first time. In 2018 these subjects will be introduced to the New Zealand (NZ) Digital Technologies curriculum under the subject of Computational Thinking. Like the majority of countries who have introduced these topics, NZ faces challenges in preparing teachers, and in successfully implementing a curriculum which achieves its educational goals. To support this curriculum, we have been conducting studies in primary schools across NZ, trialing resources with teachers and students. Building on a 2014 exploratory study on CS and programming in intermediate school, this project investigates the existing assumptions around CT education in K-12. It aims to address the specific questions: How do we teach CT concepts and approaches to primary aged students? If they learn CT, does it have the expected positive impacts on students learning? And, what other positive and negative impacts does this have? Throughout 2015 and 2016 a study was conducted with 18 primary school teachers from across NZ, who used CS Unplugged and educational programming languages in their classrooms. Teachers submitted feedback on these classes through an online form, and participated in semi-structured interviews. The feedback responses and interview transcripts were analysed using a thematic approach, which revealed many positive impacts on students general learning, minimal negative impacts, and observations of CT development.

Computational thinking has become a crucial skill for students because it gives them the tools to solve complicated issues using organized methods. Implementing Problem-based learning and Design-based learning in science learning has significantly enhanced students' skills. This research aims to ascertain which of the two models is better for facilitating computational thinking skills among middle school students in science learning. The study used a sample of 69 middle school students selected through random sampling. This research employs a quasi-experimental, multi-group, post-test-only design. The instrument utilized in this research is a computational thinking skills test comprising five questions. The data were analyzed using one-way ANOVA to test the hypotheses. Tukey test results indicate that the mean difference score between the PBL and DBL groups is 1.2609, with a significance value greater than 0.05. The study confirms that Problem-based learning is more effective than Design-based learning in facilitating students' computational thinking skills. However, the difference between the two is not particularly noteworthy. PBL and DBL represent viable pedagogical approaches that can enhance middle school students' computational thinking skills in science learning. Keywords: problem-based learning, design-based learning, computational thinking skill. DOI: http://dx.doi.org/10.23960/jpmipa/v25i3.pp1214-1223

Computational thinking has emerged as a critical 21st-century skill, yet many secondary students in Malaysia have not been formally exposed to structured computational thinking education. This study evaluates the effectiveness of a “Basic to Advanced Computational Thinking for Secondary Students” program implemented in Melaka, Malaysia. To assess the impact of a four-day computational thinking program on secondary students’ knowledge, skills, and confidence in computational thinking concepts. A pre-post evaluation design was employed using the validated form provided by Research, Innovation, Commercialisation, and Entrepreneurship (RICE) University Technical Malaysia Melaka (UTeM) assessment instrument. Forty-eight secondary students (Forms 1-3) participated in the program, which covered introduction to computational thinking which includes Microbit, Scratch, artificial intelligence (AI), and robotics. Participants completed self-assessment questionnaires before and after the program using a 5-point Likert scale. The program demonstrated significant effectiveness across all measured competencies. Overall mean scores improved from 2.45 to 3.71 (51.3% improvement). The highest improvements were observed in knowledge acquisition (60.9%) and program relevance perception (53.2%). Female students (n=9) and male students (n=20) both showed substantial improvements, with the program successfully engaging diverse learners across different form levels. The structured computational thinking program effectively enhanced secondary students’ competencies in computational thinking. The findings support the integration of comprehensive computational thinking curricula in Malaysian secondary education to prepare students for digital literacy demands.

To achieve the Fourth Sustainable Development Goal (SDG) of providing quality education and promoting lifelong learning opportunities for all 21st-century students, today it is essential to develop Computational Thinking skills. This article analyses the results obtained in an empirical experience in which Computational Thinking is used with Scratch educational software to address Geometry content in Primary Education. In many cases, this content is repetitive and has little practical application; therefore, using this resource as a learning tool allows us to propose a more dynamic, motivating, and effective approach for students. The experiment was carried out with a total of 66 students in the fifth year of Primary Education from 3 different schools using a non-equivalent control group design with substitute pre-test measures. In order to be able to carry out this work, the teachers involved first received initial training. Subsequently, the students carried out generic activities to familiarise themselves with the educational software and, finally, specific geometry activities. The results obtained show a more positive learning process among those students who worked with Scratch, highlighting the motivating and evidently practical aspect of this resource. These results serve to promote an approach to the teaching of Geometry in elementary education that goes beyond traditional boundaries, embracing student centricity and Computational Thinking as cornerstones. Additionally, the emphasis on Computational Thinking becomes a clarion call for educators to embrace innovative pedagogies that resonate with the evolving needs of 21st-century learners, and it should be considered an important element with a significant role in the Mathematics curriculum framework.

The work is devoted to the consideration of improving the quality of teaching students the discipline “Numerical methods” through the development of the cognitive component of computational thinking based on blended learning. The article presents a methodology for the formation of computational thinking of mathematics students, based on the visualization of algorithmic design schemes and the activation of the cognitive independence of students. The characteristic of computational thinking is given, the content and structure of computational thinking are shown. It is argued that a student with such a mind is able to manifest himself in his professional field in the best possible way. The results of the application of the technique are described. To determine the level of development of the cognitive component of computational thinking, a diagnostic model has been developed based on measuring the content, operational and motivational components. It is shown that the proposed method of developing computational thinking of students, taking into account the individual characteristics of students’ thinking, meaningfully based on the theoretical and practical aspects of studying the discipline, increases the effectiveness of learning the course “Numerical methods”. The materials of the article are of practical value for teachers of mathematical disciplines who use information and telecommunication technologies in their professional activities.

There is an ongoing need to evaluate whether commonly used educational software effectively supports inquiry-based learning and computational thinking skills development, which are key objectives in secondary STEM curricula. This research establishes criteria for characterising digital technologies, such as modelling and simulation software, virtual laboratories, and microcosms, to ensure their suitability in supporting students' computational thinking through inquiry-based activities in STEM courses. The main criteria focus on six key areas: (a) production of meaning, (b) support in problem formulation, (c) ability to manage processes easily, (d) support in expressing solutions, (e) support in executing and evaluating solutions, and (f) ability to articulate and reflect on processes and solutions. Using this evaluation framework, two widely used software tools, Tracker and GeoGebra, commonly employed in high school physics and mathematics, were assessed. The trial evaluation results are discussed, with recommendations for improving the software to support these educational objectives.

Computational thinking (CT) is an essential skill in the twenty-first century. The computational physics course (CPC) is one subject that is designed to support students in the practice of CT. Many studies show that the worksheets could be a solution in a CPC as a scaffold to achieve the CT objectives both online and offline. The study aims to develop the worksheet and integrate it with CT in a computational physics course. This study applied the research and development (R & D) method with the ADDIE model approach. In the results, the evaluation test from the experts reached a very good interpretation score based on the learning media expert (96%), the teaching material expert (95%), and the pedagogy experts (92%). So that this media is declared feasible to be used in the CPC. Furthermore, after the experimental study of students who took the computational physics course (n = 31), the study showed that the modified course could significantly improve student skills regarding overall CT (p value <0.05). However, this research also found that cooperative learning as part of CT had no improvement (p value >0.05). The experiment was conducted amid the COVID 19 pandemic wherein the students could only study at home for the whole semester. These findings indicate that the pandemic has impacted the collaborative skills of students on the course.

This publication provides an editorial introduction to a special issue of Computer Applications in Engineering Education journal entitled Computational Thinking for STEM and Engineering Education. It provides introductory remarks to the issue and a commentary on the published material, as well as presents the views of the special issue editors in the field of science, technology, engineering and mathematics (STEM) education and research. This special issue is structured as follows. It contains articles related to the topics of computational thinking (CT), STEM, and engineering education. It starts with three overview articles based on systematic reviews, giving a structured overview of CT concepts in terms of practical educational approaches in introductory science, technology, engineering, arts and mathematics (STEAM) education. Subsequent articles present practical approaches to CT and STEAM education in such educational areas as general engineering, programming and software engineering, physical computing, robotics, electronics, mechanical, and power engineering.

Computational thinking is an important and necessary part of a modern person’s thinking. It has been proven that the development of this way of thinking in students with mental disabilities allows them to navigate quickly in the modern world, identify problems and create complex solutions. Online schooling during the COVID-19 pandemic demonstrated the possibilities of the usage of web technologies in the education of children with mental disabilities. This study aims to evaluate the impact of web technologies on the development of computational thinking of students with mental disorders. The experiment involved 14 students aged 8-12 and 4 tutors. For 8 weeks children were trained in computational thinking and computer science. Assessment of computational thinking was performed with cCT-test by El-Hamamsi et al. before and after the experiment. After conducting computer science lessons using web technologies the respondents showed a higher level of computational thinking (M=15,7, SD=3,69), compared to the results of preliminary testing (M=5,93, SD=2,3). Web technologies can significantly increase the effectiveness of inclusive pedagogy, which establishes the importance of integrating web technologies into the teaching system in inclusive classes of general education schools.

Computational thinking is increasingly important in the secondary curriculum beyond the computer science classroom, especially in technology heavy STEM fields. We applied the Computational Thinking in Mathematics and Science Taxonomy (Weintrop et al., 2016) to explore how secondary students demonstrated computational thinking in research projects from a month-long STEM enrichment summer program. The preliminary data show that the papers and posters of four students, one from each area of the summer curricula, demonstrate all four of the practices: Data Practices, Modeling and Simulation Practices, Computational Problem Solving Practices, and Systems Thinking Practices. These results indicate that computational thinking provides a useful framework for planning and assessing secondary students’ STEM independent research projects. Key words: computational thinking, research.

While various studies have focused on the significance of computational thinking (CT) for the future career paths of individuals in science, technology, engineering, and mathematics (STEM), few studies have focused on computational thinking for non-STEM college students. This study explores the relationship between computational thinking and learning satisfaction for non-STEM-major college students. A conceptual model is proposed to examine the structural relationships among computational thinking, self-efficacy, self-exploration, enjoyment and learning satisfaction in an AppInventor-based liberal education course. Collecting data from 190 undergraduate students from Taiwan and analyzing the data by using partial least squares (PLS) methods, the research framework confirms the six proposed hypotheses. These results show that both computational thinking and enjoyment play significant roles in both self-exploration and digital self-efficacy. Moreover, digital self-efficacy and self-exploration also have a significant positive influence on learning satisfaction. These findings have implications for influencing the learning outcomes of non-STEM-major college students, computational thinking course instructors, and computational thinking relevant policies.

In recent years, educators have faced challenges in designing learning that can improve students' computational thinking and creativity, especially in science and mathematics learning. This systematic review examines didactic research published between 2010 and 2023, following PRISMA guidelines. Relevant studies were identified through database searches in Scopus, Web of Science, and ERIC, using keywords related to computational thinking, creativity, science and math education. Twenty-five studies were selected for in-depth analysis through a structured screening process. These studies focus on strategies, methodologies, and assessment techniques that promote computational thinking (CT) and creativity in science and math classrooms. Particular emphasis is placed on project-based learning (PjBL) as a pedagogical framework for integrating CT and creativity into the learning process. The findings highlight how PjBL not only supports students in developing logical and systematic problem-solving skills but also fosters creative expression through open-ended, collaborative tasks. The review further explores tools and resources that enhance CT instruction and discusses how digital technologies can support creativity in science learning. The evidence highlights the effectiveness of integrating CT and creativity through PjBL within the context of science and math education.

The PISA data results show that computational thinking abilities are still lacking. Computational thinking ability is influenced by gender. This research aims to analyze patterns of computational thinking skills of prospective elementary school teachers based on gender at 8 universities in Indonesia. In this research, the components of computational thinking skills analyzed are abstraction, algorithmic, decomposition, and pattern recognition. This research is a mix method research with research subjects as many as 234 prospective elementary school teachers at 8 higher educational institutions. The instruments used were test and interviews. The data analysis technique used is a quantitative data analysis technique using SEM PLS and for qualitative data analysis using miles and Huberman. The research results show that computational thinking skills are still low on the decomposition and pattern recognition components. Based on the SEM PLS test results, it shows that computational thinking abilities are related to gender. In general, the computational thinking ability of female students is slightly higher in all sub-indicators than men and there are differences in the pattern of computational thinking ability between male and female elementary school teacher prospective. The ability of prospective female elementary school teachers to answer in more detail and more structured, while the answers of male prospective teachers are shorter and less comprehensive. Recommendations for developing computational thinking skills by developing problem-based learning, contextual project-based learning and STEAM based learning.