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Daniele Traversaro; Giorgio Delzanno; Giovanna Guerrini – Informatics in Education, 2024
Concurrency is a complex to learn topic that is becoming more and more relevant, such that many undergraduate Computer Science curricula are introducing it in introductory programming courses. This paper investigates the combined use of Sonic Pi and Team-Based Learning to mitigate the difficulties in early exposure to concurrency. Sonic Pi, a…
Descriptors: Misconceptions, Programming Languages, Computer Science Education, Undergraduate Students
Elena Novak; Chia-Ling Kuo; Janet Lynne Tassell; Grace Morris – TechTrends: Linking Research and Practice to Improve Learning, 2024
Recently, creativity has been acknowledged for its importance in improving computer science learning and attitudes. However, very little is known about how to integrate creativity in preservice teacher computing education. Toward this end, we developed a creativity-enhancement intervention in an online Creative Computing instructional module to…
Descriptors: Preservice Teachers, Elementary School Teachers, Creativity, Intervention
Matthew Bahnson; Allison Godwin; Christian Schunn; Eric McChesney; Linda DeAngelo – International Journal of STEM Education, 2025
Background: The demand for engineers in the workforce continues to rise, which requires increased retention and degree completion at the undergraduate level. Engineering educators need to better understand opportunities to retain students in engineering majors. A strong sense of belonging in engineering represents one important contributor to…
Descriptors: Academic Persistence, Engineering Education, Sense of Belonging, Intervention
Christine Marie M. Pedder – ProQuest LLC, 2024
Schools have transitioned from single-component health and wellness programs to comprehensive initiatives aimed at fostering continual and sustained improvement in children's overall health and wellness. These interventions, with a focus on knowledge and behavior change, can effectively promote the adoption of healthy behaviors among children.…
Descriptors: Elementary Education, Elementary Schools, Elementary School Students, Health Education
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
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
Durmus Aslan; Songül Dagaynasi; Mehmet Ceylan – Education and Information Technologies, 2024
Geometric concepts are fundamental to early geometry education, and developmentally appropriate practices are crucial for teaching them to young children. Robotic coding is an effective tool in many areas of early mathematics and has significant potential in teaching geometric concepts. This study aimed to test the impact of a research-based…
Descriptors: Educational Technology, Geometry, Mathematical Concepts, Robotics
Tan, Teck Kiang – Practical Assessment, Research & Evaluation, 2022
Power analysis based on the analytical t-test is an important aspect of a research study to determine the sample size required to detect the effect for the comparison of two means. The current paper presents a reader-friendly procedure for carrying out the t-test power analysis using the various R add-on packages. While there is a growing of R…
Descriptors: Programming Languages, Sample Size, Bayesian Statistics, Intervention
Lee, Hsin-Yu; Lin, Chia-Ju; Wang, Wei-Sheng; Chang, Wei-Cyun; Huang, Yueh-Min – International Journal of STEM Education, 2023
In the realm of Science, Technology, Engineering, and Mathematic (STEM) education, computer programming stands as a vital discipline, amalgamating cross-disciplinary knowledge and fostering the capacity to solve real-world problems via fundamental concepts and logical methodologies inherent to computer science. Recognizing the important of…
Descriptors: Intervention, Elementary Secondary Education, Programming, Skill Development
McLoughlin, Shane; Tyndall, Ian; Pereira, Antonina – Journal of Behavioral Education, 2022
In recent years, small-scale studies have suggested that we may be able to substantially strengthen children's general cognitive abilities and intelligence quotient (IQ) scores using a relational operant skills training program (SMART). Only one of these studies to date has included an active Control Condition, and that study reported the smallest…
Descriptors: Cognitive Ability, Intelligence Quotient, Early Adolescents, Programming
Lihui Sun; Junjie Liu – Educational Technology Research and Development, 2024
This study investigated the effects of the single programming approach (plugged-in and unplugged) and the mixed programming approach (plugged-in-first and unplugged-first) on the computational thinking (CT) skills of first-grade students. However, focusing only on the programming learning approach itself is insufficient. Therefore, the influences…
Descriptors: Thinking Skills, Computation, Grade 1, Elementary School Students
Brainin, Einat; Shamir, Adina; Eden, Sigal – Journal of Research on Technology in Education, 2022
The study's purpose was to examine the contribution of a programmable robot to an intervention program for promoting spatial ability (spatial relations, visual-memory, mental rotation) of preschool children. Eighty-four participants were randomly assigned to three intervention groups: programmable-robot-based intervention, traditional…
Descriptors: Kindergarten, Young Children, Robotics, Programming
Boote, Stacy K.; Galanti, Terrie M. – Mathematics Teacher: Learning and Teaching PK-12, 2023
Mathematics achievement is positively associated with coding in the classroom. By making mathematical relationships visible to students as they code, teachers leverage rich connections between block-based computer programming and mathematical sense making. In this article, the authors describe strategies for adapting a Code.org lesson integrating…
Descriptors: Teaching Methods, Mathematics Instruction, Mathematics Achievement, Coding
Ian P. Levy; Michelle Bell – Professional School Counseling, 2024
This narrative inquiry explores the experiences of youth in a school within a juvenile detention facility, who participated in a hip hop and podcasting small-group counseling intervention. Specifically, youth wrote and recorded a podcast consisting of a hip hop song, interviews with their peers, and staff reflections on the youth's experience.…
Descriptors: Late Adolescents, Institutionalized Persons, Correctional Education, Correctional Institutions
Olivares, Daniel; Hundhausen, Christopher; Ray, Namrata – ACM Transactions on Computing Education, 2022
As in other STEM disciplines, early computing courses tend to stress individual assignments and discourage collaboration. This can lead to negative learning experiences that compel some students to give up. According to social learning theory, one way to improve students' learning experiences is to help them form and participate actively in…
Descriptors: Intervention, Interpersonal Relationship, Programming, Computer Science Education