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Qing Yu; Kun Yu; Baomin Li – Journal of Educational Computing Research, 2025
Computer programming is regarded as an important skill for the future. However, many K-12 students face challenges and difficulties in learning traditional text-based programming. Block-based visual programming (BVP) can reduce the difficulty of learning programming and is seen as a potential programming education tool. Nevertheless, the effects…
Descriptors: Programming, Computer Science Education, Visual Aids, Outcomes of Education
Dengkang Chen; Yi Zhang; Heng Luo; Zhimin Gao; Lufang Yu; Yuru Lin – Journal of Educational Computing Research, 2026
Promoting computational thinking (CT) through programming activities is crucial for cultivating talent in today's digital landscape. However, recent research have revealed that students often face significant CT challenges during actual programming tasks. While it is widely recognized that additional scaffolding should be provided to support…
Descriptors: Scaffolding (Teaching Technique), Programming, Computation, Thinking Skills
Chen Sun; Stephanie Yang; Betsy Becker – Journal of Educational Computing Research, 2024
Computational thinking (CT), an essential 21st century skill, incorporates key computer science concepts such as abstraction, algorithms, and debugging. Debugging is particularly underrepresented in the CT training literature. This multi-level meta-analysis focused on debugging as a core CT skill, and investigated the effects of various debugging…
Descriptors: Troubleshooting, Computation, Thinking Skills, Intervention
Arif Akçay; Arif Altun – Education and Information Technologies, 2024
Debugging is an intellectually rich and a challenging process when learning a programming language. This process is important for increasing the quality of the program and making it functional. Debugging, by its nature, is thought to be a practice with a state of focus and concentration. This study explored whether the debugging performance could…
Descriptors: Attention, Networks, Troubleshooting, Programming
Kane Meissel; Esther S. Yao – Practical Assessment, Research & Evaluation, 2024
Effect sizes are important because they are an accessible way to indicate the practical importance of observed associations or differences. Standardized mean difference (SMD) effect sizes, such as Cohen's d, are widely used in education and the social sciences -- in part because they are relatively easy to calculate. However, SMD effect sizes…
Descriptors: Computer Software, Programming Languages, Effect Size, Correlation
Lai, Xiaoyan; Wong, Gary Ka-wai – British Journal of Educational Technology, 2022
Computational thinking (CT), which is a cognitive skill used to solve problems with computational solutions, has drawn increasing attention among researchers and practitioners due to the growing recognition of CT competence as a 21st century skill. Collaboration is commonly integrated into CT education to facilitate novice learning, but there is…
Descriptors: Cooperative Learning, Problem Solving, Computation, Thinking Skills
Dagyeom Lee; Youngjun Lee – Informatics in Education, 2024
As our society has advanced in the era of digital transformation, education has been transformed from knowledge-centered to competency-centered to solve future problems in the light of unpredictable changes and events in our lives. Programming education provides the basic knowledge needed, and fosters higher-order thinking skills in the process of…
Descriptors: Problem Solving, Computer Science Education, Programming, Thinking Skills
Demir, Seda; Doguyurt, Mehmet Fatih – African Educational Research Journal, 2022
The purpose of this research was to compare the performances of the Fixed Effect Model (FEM) and the Random Effects Model (REM) in the meta-analysis studies conducted through 5, 10, 20 and 40 studies with an outlier and 4, 9, 19 and 39 studies without an outlier in terms of estimated common effect size, confidence interval coverage rate and…
Descriptors: Meta Analysis, Comparative Analysis, Research Reports, Effect Size
Li, Feng; Wang, Xi; He, Xiaona; Cheng, Liang; Wang, Yiyu – Education and Information Technologies, 2022
This study adopted a meta-analysis to explore the effectiveness of unplugged activities (UA) and programming exercises (PE) teaching approaches on computational thinking (CT) education. Through a two-stage literature collection and selection process, 29 articles were included in the meta-analysis, 31 independent effect sizes (16 of UA and 15 of…
Descriptors: Instructional Effectiveness, Learning Activities, Programming, Computation
Dogan, Yunus; Batdi, Veli; Tüfekci, Hülya – Journal of Educational Technology, 2022
The concept of "21st century skills" has entered our lives in the recent past and has been used to describe the skills that our children should be equipped with while preparing them for the future world. Coding skill, in this regard, is seen as a new 21st century skill that is assumed to be a part of logical reasoning. The main purpose…
Descriptors: Programming, Teaching Methods, Intervention, Student Attitudes
Merino-Armero, José Miguel; González-Calero, José Antonio; Cózar-Gutiérrez, Ramón – Journal of Research on Technology in Education, 2022
The interest in computational thinking development at pre-university education stage is increasing. In this study, a meta-analysis was conducted to address two main objectives: (a) to analyze the effectiveness of empirical interventions in K-12 education for the development of Computational Thinking (CT); and (b) to identify and evaluate the…
Descriptors: Meta Analysis, Computer Science Education, Thinking Skills, Intervention
Tan, Wee-Ling; Samsudin, Mohd Ali; Ismail, Mohd Erfy; Ahmad, Nur Jahan; Abdul Talib, Corrienna – EURASIA Journal of Mathematics, Science and Technology Education, 2021
This study examined the effectiveness of STEAM (Science, Technology, Engineering, Art, Mathematics) integrated approach via Scratch on five subconstructs of computational thinking (CT) among 29 male and 30 female students. A quasi-experimental design was employed in the research. The participants demonstrated the application of CT in designing…
Descriptors: STEM Education, Art Education, Instructional Effectiveness, Interdisciplinary Approach
Morrison, Briana B.; Margulieux, Lauren E.; Decker, Adrienne – Computer Science Education, 2020
Background and Context: Subgoal labeled worked examples have been extensively researched, but the research has been reported piecemeal. This paper aggregates data from three studies, including data previously unreported, to holistically examine the effect of subgoal labeled worked examples across three student populations and across different…
Descriptors: Computer Science Education, Instructional Materials, Instructional Effectiveness, Problem Solving
Lee, Eunsang – European Journal of Educational Research, 2020
The Arduino microcontroller enables ordinary people to perform professional tasks that only traditional engineering professionals could perform. Recently, several educational cases have been applied to primary and secondary schools, which is a desirable attempt to popularize engineering education. This study meta-analyzed the effects of…
Descriptors: Meta Analysis, Elementary Secondary Education, Engineering Education, Effect Size
Xu, Zhen; Ritzhaupt, Albert D.; Tian, Fengchun; Umapathy, Karthikeyan – Computer Science Education, 2019
Background and Context: The use of block-based programming environments is purported to be a good way to gently introduce novice computer programmers to computer programming. A small, but growing body of research examines the differences between block-based and text-based programming environments. Objective: Thus, the purpose of this study was to…
Descriptors: Outcomes of Education, Novices, Computer Science Education, Programming
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