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Václav Šimandl; Jirí Vanícek; Václav Dobiáš – Informatics in Education, 2025
Research on collaborative learning of computer science has been conducted primarily in programming. This paper extends this area by including short tasks (such as those used in contests like the Bebras Challenge) that cover many other computer science topics. The aim of this research is to explore how problem-solving in pairs differs from…
Descriptors: Cooperative Learning, Problem Solving, Computer Science, Computer Science Education
Radek Pelánek – ACM Transactions on Computing Education, 2025
Learning environments for programming education need a comprehensive task set that guides students from basic programming concepts to complex challenges. For creating such a task set, it is beneficial to utilize the concept of a design space--a systematic mapping of design dimensions and choices along these dimensions. We propose an iterative…
Descriptors: Computer Science Education, Programming, Design, Task Analysis
Margaret F. Quinn; Lori A. Caudle; Frances K. Harper – Early Childhood Education Journal, 2025
Computational thinking (CT) is an important twenty-first century skill that begins developing early. Recent interest in incorporating early CT experiences in early childhood education (i.e., preschool) has increased. In fact, the early years mark an important time during which initial competencies are acquired, interest and motivation begins to…
Descriptors: Early Childhood Education, Preschool Children, Computation, STEM Education
Remsh Nasser Alqahtani; Ahmad Zaid Almassaad – Education and Information Technologies, 2025
The aim of research is to reveal the effect of a training program based on the TAWOCK model for teaching computational thinking skills on teaching self-efficacy among computer teachers. It used the quasi-experimental approach, with a pre-test and post-test design with a control group. An electronic training program based on the TAWOCK model was…
Descriptors: Models, Teaching Methods, Computation, Thinking Skills
Stella Xin Yin; Dion Hoe-Lian Goh; Choon Lang Quek; Zhengyuan Liu – Educational Technology & Society, 2025
With the growing popularity of computational thinking (CT) classes in K-12 schools, it is important to investigate public perceptions of these initiatives. Analyzing public discussions and opinions provides valuable insights that can inform future educational policies and reforms. In this paper, we collected questions and answers related to CT…
Descriptors: Computation, Thinking Skills, Elementary Secondary Education, Public Opinion
Lihui Sun; Junjie Liu – Journal of Educational Computing Research, 2025
Computational Thinking (CT) has evolved as an essential competency for K-12 students, and programming practices are recognized as the key way to facilitate CT development. However, most studies of CT development in middle graders have focused on visual programming, lacking evidence to demonstrate the effectiveness of Python programming. Therefore,…
Descriptors: Computation, Thinking Skills, Skill Development, Middle School Students
Irene Govender; Reginald G. Govender; Desmond Wesley Govender – Educational Process: International Journal, 2025
Background/purpose: This research explores the use of robotics to facilitate the learning of computer programming among non-specialist pre-service teachers with no prior programming experience. With the increasing demand for 21st-century teaching competencies, it is essential to equip future educators with computational thinking (CT) skills, even…
Descriptors: Robotics, Coding, Preservice Teachers, Computer Science Education
Xuemin Gao; Yuqin Yang; Yuxia Du; Daner Sun – Journal of Educational Computing Research, 2025
Block-based visual programming tools are widely used in elementary education. Nonetheless, these tools alone may not ensure the spontaneous and efficient acquisition of concepts and skills in computational thinking (CT). Using mind mapping as a form of scaffolding to facilitate the visualization of abstract thinking processes may enhance the…
Descriptors: Computation, Thinking Skills, Programming, Cognitive Mapping
Lorien Cafarella; Lucas Vasconcelos – Education and Information Technologies, 2025
Middle school students often enter Computer Science (CS) classes without previous CS or Computational Thinking (CT) instruction. This study evaluated how Code.org's block-based programming curriculum affects middle school students' CT skills and attitudes toward CT and CS. Sixteen students participated in the study. This was a mixed methods action…
Descriptors: Middle School Students, Computation, Thinking Skills, Problem Solving
Badruliman Batni; Syahrul Nizam Junaini – Education and Information Technologies, 2025
In the dynamic educational context of Malaysia, this study examines the impact of integrating Unplugged Activities (UA) with Block-Based Programming (BBP) on improving the computational thinking (CT) skills of secondary students in full boarding schools in Northern Peninsular Malaysia. Using a quasi-experimental design and mixed-methods analysis,…
Descriptors: Computation, Thinking Skills, Programming, Secondary School Students
Cheng Wang; Meina Zhu – Educational Media International, 2025
K-12 computer science (CS) education has emerged as a vital component of modern education, nurturing computational thinking, problem-solving, and digital literacy. This study examines the K-12 CS education dynamics, emphasizing its impact and implications, particularly in the context of equity. Twitter data from 2017 to 2021 were collected,…
Descriptors: Elementary Secondary Education, Computer Science Education, Social Media, Equal Education
Kristina Tank; Tamara Moore; Anne Ottenbreit-Leftwich; Sohheon Yang; Zarina Wafula; Lin Chu – Journal of Technology and Teacher Education, 2025
This paper explores the experiences and learning outcomes of preservice elementary teachers (PSTs) as they integrate computational thinking (CT) into their teaching practices during a structured field experience. Through a qualitative content analysis of video reflections from 27 PSTs, the study examines how teaching CT lessons to K-2 students…
Descriptors: Preservice Teachers, Thinking Skills, Computation, Field Experience Programs
Yun Dai – Education and Information Technologies, 2025
There is a growing consensus that AI literacy requires a holistic lens, including not only technical knowledge and skills but also social and ethical considerations. Yet, providing holistic AI education for upper-primary students remains challenging due to the abstract and complex nature of AI and a lack of pedagogical experiences in schools.…
Descriptors: Integrated Activities, Holistic Approach, Artificial Intelligence, Computer Science Education
MiJeong Kim; JaMee Kim; WonGyu Lee – Education and Information Technologies, 2025
In the digital age, computational thinking (CT)-based problem-solving skills have emerged as essential competencies. Particularly, students with intellectual disabilities need equal educational opportunities and high-quality informatics education to cultivate CT-based problem-solving skills. However, research on the enhancement of CT-based…
Descriptors: Intellectual Disability, Programming, Computation, Thinking Skills
Merijke Coenraad; Alessandra Rangel; Kyle Dunbar – Journal of Research on Technology in Education, 2025
Based in a research-practice partnership around district-wide computational thinking (CT) Pathways, this paper explores how six districts utilized the CT Engagement Inventory to examine if and how students are engaged in computing learning opportunities and write inclusive CT pathway goals. We found the CT Engagement Inventory supported districts…
Descriptors: Computation, Thinking Skills, School Districts, Research and Development
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