Publication Date
In 2025 | 5 |
Since 2024 | 20 |
Since 2021 (last 5 years) | 38 |
Since 2016 (last 10 years) | 40 |
Since 2006 (last 20 years) | 40 |
Descriptor
Source
Education and Information… | 40 |
Author
Gary K. W. Wong | 2 |
Arguel, Amaël | 1 |
Atman Uslu, Nilüfer | 1 |
Avci, Canan | 1 |
Aydin, Muharrem | 1 |
Badruliman Batni | 1 |
Baolin Yi | 1 |
Basil C. E. Oguguo | 1 |
Bati, Kaan | 1 |
Bilgic, Kiraz | 1 |
Bokmoon Jung | 1 |
More ▼ |
Publication Type
Journal Articles | 40 |
Reports - Research | 36 |
Information Analyses | 6 |
Tests/Questionnaires | 3 |
Reports - Evaluative | 1 |
Education Level
Audience
Laws, Policies, & Programs
Assessments and Surveys
Test of Nonverbal Intelligence | 1 |
What Works Clearinghouse Rating
Yu Lei; Xin Fu; Jingjie Zhao; Baolin Yi – Education and Information Technologies, 2025
Grouping students according to their abilities and promoting deeper interaction and moderation are key issues in improving computational thinking in collaborative programming. However, the distribution characteristics and evolving pathways of computational thinking in different groups have not been deeply explored. During the course of a…
Descriptors: Ability Grouping, Computation, Programming, Cooperative Learning
Wei Zhang; Xinyao Zeng; Lingling Song – Education and Information Technologies, 2025
Computational thinking (CT) assessment is crucial for testing the effectiveness of CT skills development. However, the exploration of CT assessment in the context of text-based programming is in its initial stages. The intrinsic relationship between the core skills of text-based programming and the core elements of CT isn't analyzed in depth in…
Descriptors: Mental Computation, Programming, College Students, Evaluation
Yoonhee Shin; Jaewon Jung; Seohyun Choi; Bokmoon Jung – Education and Information Technologies, 2025
This study investigates the effects of metacognitive and cognitive strategies for computational thinking (CT) on managing cognitive load and enhancing problem-solving skills in collaborative programming. Four different scaffolding conditions were provided to help learners optimize cognitive load and improve their problem-solving abilities. A total…
Descriptors: Scaffolding (Teaching Technique), Mental Computation, Cognitive Processes, Difficulty Level
Nardie Fanchamps; Emily van Gool; Lou Slangen; Paul Hennissen – Education and Information Technologies, 2024
Learning basic concepts of programming resulting in a development on computational thinking (CT) can be reached by means of digital programming environments. As a counterpart, the application of unplugged programming activities seems also to have promising potential regarding the impact on CT. The main characteristic of unplugged programming is…
Descriptors: Computation, Thinking Skills, Programming, Computer Peripherals
Gary K. W. Wong; Shan Jian; Ho-Yin Cheung – Education and Information Technologies, 2024
This study examined the developmental process of children's computational thinking using block-based programming tools, specifically algorithmic thinking and debugging skills. With this aim, a group of children (N = 191) from two primary schools were studied for two years beginning from the fourth grade, as they engaged in our block-based…
Descriptors: Thinking Skills, Skill Development, Computation, Algorithms
Li, Qiang; Liu, Ze-xue; Wang, Peng; Wang, Jing-jing; Luo, Tian – Education and Information Technologies, 2023
Computational thinking (CT) and design thinking (DT) are critical tools for students to improve their problem-solving abilities. CT is most commonly used in science and technology fields such as computer science and mathematics, whereas DT is more commonly used in the design field. This study evaluates the impact of art programming education on…
Descriptors: College Students, Art Education, Design, Thinking Skills
Bati, Kaan – Education and Information Technologies, 2022
This research was aimed at summarizing experimental evidence regarding computational thinking and programming conducted in early childhood education in terms of the variables of plugged-in versus unplugged, age, and gender. For this purpose, the WoS, Scopus, and ERIC databases were scanned, and studies determined to be within the scope of the…
Descriptors: Computation, Thinking Skills, Programming, Early Childhood Education
Xu, Enwei; Wang, Wei; Wang, Qingxia – Education and Information Technologies, 2023
Computational thinking is considered to be an important competence in the intelligent era, and the incorporation of computational thinking as an integral part of school education beginning in childhood has been proposed. However, the ways in which computational thinking can be taught more effectively the context of in K-12 programming teaching…
Descriptors: Programming, Instructional Effectiveness, Elementary School Students, Secondary School Students
Hua-Xu Zhong; Jui-Hung Chang; Chin-Feng Lai; Pei-Wen Chen; Shang-Hsuan Ku; Shih-Yeh Chen – Education and Information Technologies, 2024
Artificial intelligence (AI) education is becoming an advanced learning trend in programming education. However, AI subjects can be difficult to understand because they require high programming skills and complex knowledge. This makes it challenging to determine how different departments of students are affected by them. This study draws on…
Descriptors: Undergraduate Students, Artificial Intelligence, Programming, STEM Education
Miaoting Cheng; Xiaoyan Lai; Da Tao; Juntong Lai; Jun Yang – Education and Information Technologies, 2024
While numerous studies have highlighted the potential benefits of programming environment (PE) use for children's learning, the boundary conditions of children's PE acceptance within the programming education context are less clear. This study fills this gap in the literature by investigating the critical determinants of children's PE use…
Descriptors: Programming, Intention, Competition, Computation
Chenyue Wang; Chang Lu; Fu Chen; Xueliang Liu; Qin Zhao; Shuai Wang – Education and Information Technologies, 2024
Computational thinking (CT) competency is essential for K-12 students in the digital societies. Understanding the relationship between students' CT and relevant factors contributes to implementing and improving CT education. Most previous studies investigated the effect of demographic or attitudinal factors on CT performance; whereas few research…
Descriptors: Self Efficacy, Thinking Skills, Problem Solving, Computation
Atman Uslu, Nilüfer – Education and Information Technologies, 2023
In recent years, computational thinking (CT) initiatives have been increasing in both research and practice. Although the importance of students' resilience and computational identity in the CT development process is recognized, more research is needed on their role on students' CT skills. Therefore, little is known about whether differences in…
Descriptors: Secondary School Students, Computation, Thinking Skills, Self Efficacy
Hatice Yildiz Durak – Education and Information Technologies, 2024
Examining middle school students' computational identity development, personal, situational variables and programming experiences through the lens of identity may offer an opportunity to explore the dynamic relationship between individual, academic and social influences in computer science and CI. The aim of this study is to examine the variables…
Descriptors: Middle School Students, Computation, Thinking Skills, Self Concept
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
Zhenhua Wu; Linting Zheng; Li'an Huang – Education and Information Technologies, 2024
Programming has been considered a crucial "object to think with", which can integrate with various disciplines and facilitate learning in other areas. However, existing research primarily focuses on how children learn to code rather than how coding helps them to learn. To address this gap, a quasi-experimental case study was conducted…
Descriptors: Coding, Robotics, Programming, Kindergarten