In this study, we aimed to investigate the impact of cooperative learning on the computational thinking skills and academic performances of middle school students in the computational problem-solving approach. We used the pretest-posttest control group design of the quasiexperimental method. In the research, computational problem-solving…

Despite the increasing emphasis on computational literacy in higher education, we observed that many undergraduate students particularly in developing contexts struggle to master fundamental programming skills and develop critical thinking. Conventional instructional approaches often lack interactivity and personalized scaffolding, which are…

Creativity, one of the cornerstones of students' 21st-century skills, is regarded as an important learning outcome of science, technology, engineering, arts, and mathematics (STEAM) education. Meanwhile, problem-based digital making (DM), which combines the child-friendly programming activities of DM with problem-solving elements, is an emerging…

This study explores student perceptions of learning to code by evaluating AI-generated Python code. In an experimental exercise given to students in an introductory Python course at a business university, students wrote their own solutions to a Python program and then compared their solutions with AI-generated code. They evaluated both solutions…

This study aims to examine the effectiveness of online problem-based learning (PBL) tasks on problem-solving ability (PSA) and programming skills of secondary school students. A quantitative research design of a quasi-experimental research was adopted in this study. A purposive non-random sampling method was used to select two schools. Then, a…

The primary goals of this research were to investigate the development of computational thinking (CT) skills among elementary students and to identify areas for improvement in their CT practices. Empirical investigations, accomplished in a learner-centered, problem-based learning curriculum for sixth-graders, sought to examine student proficiency…

Computer programming and municipal engineering (ME) students' specialised knowledge are still poorly integrated, leading to limited improvement of students' programming abilities. This paper describes an effective attempt in ME at Xi'an University of Architecture and Technology (XAUAT). Students were divided into several teams and required to…

Background: Students make many errors in visual programming. In order to learn from these, it is important that students regulate their emotions and view errors as learning opportunities. Aims: This study aimed to explore to what extent momentary emotions, specifically enjoyment, anxiety and boredom, as well as the error learning orientation of…

In elementary school classrooms, Computational Thinking (CT) teaching often is embedded in problem- or project-based pedagogies and involves programming using Educational Robotics. Little is known, however, about how children solve problems in these contexts, and how task designs influence which CT and problem-solving processes they apply. In this…

The problem-based learning model via cloud technology (PBL model via cloud technology) is a research tool fabricated with the concepts of problem-based learning management, in which students are stimulated and enabled to foresee the problems that will arise. Also, in this learning style, teachers will define the problem situations and encourage…

Background: This study posits that scaffolded team-based computational modeling and simulation projects can support model-based learning that can result in evidence of representational competence and regulatory skills. The study involved 116 students from a second-year thermodynamics undergraduate course organized into 24 teams, who worked on…

Teaching programming efficiently to students in the first year of computer science education is challenging. It is especially cumbersome to retain the interest of both groups, when the student group consists of novice (i.e., those who have never programmed before) and expert programmers in the same crowd. Thus, individualized teaching cannot be…

The development of modern technologies and the integration of AI into all aspects of life pose challenges for participants in the educational process. On the one hand, using chatbots and generative AI tools provides learners with unlimited opportunities to quickly and easily access a large amount of information and receive help with various…

Grounded in problem-based learning and with respect to four mathematics domains (arithmetic, random events and counting, number theory, and geometry), we designed a series of programming-based learning tasks for middle school students to co-develop computational thinking (CT) and corresponding mathematical thinking. Various CT concepts and…

Background: Implementing maker education in schools is on the rise, fuelled by its potential to move formal education towards a creative, technology-driven 21st century learning culture. In maker education, collaborative learning takes place through and around various digital and traditional technologies, which provide the means for students'…