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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
Bodaker, Liat; Rosenberg-Kima, Rinat B. – Journal of Research on Technology in Education, 2023
The COVID-19 pandemic raised the need to examine online learning methods also in young children. This study examined elementary school children's performance and attitudes during and toward an online programming learning activity utilizing the pair-programming Agile method that may foster 21st-century skills, including collaboration and…
Descriptors: Electronic Learning, Cooperative Learning, Programming, Computer Science Education
Chung, Cheng-Yu; Hsiao, I-Han; Lin, Yi-Ling – Journal of Research on Technology in Education, 2023
Creating practice questions for programming learning is not an easy job. It requires the instructor to diligently organize heterogeneous learning resources. Although educational technologies have been adopted across levels of programming learning, programming question generation (PQG) is still predominantly performed by instructors without…
Descriptors: Artificial Intelligence, Programming, Questioning Techniques, Heterogeneous Grouping
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
Qian, Yizhou; Lehman, James – Journal of Research on Technology in Education, 2022
This study investigated common student errors and underlying difficulties of two groups of Chinese middle school students in an introductory Python programming course using data in the automated assessment tool (AAT) Mulberry. One group of students was from a typical middle school while the other group was from a high-ability middle school. By…
Descriptors: Middle School Students, Programming, Computer Science Education, Error Patterns
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
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

Madison, Sandra; Gifford, James – Journal of Research on Technology in Education, 2002
Describes a study that explored the parameter-related misconceptions of two college students in an introductory programming course. Explains how they were able to construct correctly functioning modular programs by making adjustments to formal parameter lists; discusses results within a constructivist framework; and suggests implications for…
Descriptors: Computer Science Education, Constructivism (Learning), Higher Education, Instructional Design