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Peter J. Rich; Scott Bartholomew; David Daniel; Kenzie Dinsmoor; Meagan Nielsen; Connor Reynolds; Meg Swanson; Ellyse Winward; Jessica Yauney – Journal of Research on Technology in Education, 2024
In this study, we attempted to curate a list of tools whose primary intent is to enable and teach children to code. From this list, we developed a framework for the classification of coding tools and reviewed current research to determine how tools are used to teach coding in elementary education. The catalog grew to over 300 specific tools…
Descriptors: Educational Trends, Teaching Methods, Coding, 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
Dagli, Zerrin; Sancar Tokmak, Hatice – Journal of Research on Technology in Education, 2022
The importance of developing individuals' computational thinking (CT) skills has given rise to many practices and research and development initiatives. Although there is a considerable volume of research on improving students' CT skills, remarkably little is known about teachers' design work to improve students' CT skills. This multiple case study…
Descriptors: High School Teachers, Computation, Thinking Skills, High School Students
Li, Xing; Xie, Kui; Vongkulluksn, Vanessa; Stein, David; Zhang, Yi – Journal of Research on Technology in Education, 2023
Computational Thinking (CT) is regarded as a crucial competency for all children in the 21st century. There are misconceptions about CT which confounds CT skills with programming skills. However, CT skills and programming skills are not the same. CT is a broader skillset of cognitive thinking that is integral to complex problem solving. Teaching…
Descriptors: Elementary School Students, Computation, Thinking Skills, Self Concept
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
Kristina M. Tank; Tamara J. Moore; Anne Ottenbreit-Leftwich; Zarina Wafula; Lin Chu; Sohheon Yang – Journal of Research on Technology in Education, 2025
This study investigates the integration of computational thinking (CT) into early elementary literacy, focusing on kindergarten to second grade students, using multiple representations to understand their ideas of CT. Through clinical task-based interviews with 12 students, we found that concrete manipulatives, pictorial/graphical representations,…
Descriptors: Early Childhood Education, Computation, Thinking Skills, Inclusion
Rich, Peter J.; Larsen, Ross A.; Mason, Stacie L. – Journal of Research on Technology in Education, 2021
This study sought to identify factors that affect teachers' beliefs about teaching computing in their classrooms. By reviewing existing scales and research on computing, we created the Teacher Beliefs about Coding and Computational Thinking (TBaCCT) scale. Through confirmatory factor analysis and structural equation modeling we validated the scale…
Descriptors: Teacher Attitudes, Elementary School Teachers, Attitude Measures, Test Construction
Ketenci, Tuba; Calandra, Brendan; Margulieux, Lauren; Cohen, Jonathan – Journal of Research on Technology in Education, 2019
This study, which took place during a 7-week middle school computing course, used structural equation modeling to examine the overall cumulative relationship between self-efficacy, interest, and prior computing experience and students' computer science learning outcomes. The findings indicated that 52% of the variance of student success, measured…
Descriptors: Correlation, Student Characteristics, Outcomes of Education, Middle School Students
Sung, Woonhee; Black, John B. – Journal of Research on Technology in Education, 2021
This study examined what factors might have a positive impact on students' learning outcomes in mathematical understanding and computational thinking skills. Specifically, whether the proposed instructional design combining computational perspectives and an embodied approach in mathematics learning improves (a) mathematics learning, (b)…
Descriptors: Instructional Design, Mathematics Instruction, Teaching Methods, Outcomes of Education