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Kathy A. Mills; Jen Cope; Laura Scholes; Luke Rowe – Review of Educational Research, 2025
Teaching coding and computational thinking is an emerging educational imperative, now embedded in compulsory curriculum in the United States, Finland, the UK, Germany, Belgium, the Netherlands, New Zealand, and Australia. This meta-synthesis of 49 studies critically reviews recent international research (2009-2022) of coding and computational…
Descriptors: Coding, Programming, Computation, Thinking Skills
Robert J. Volpe; Emily Hill; Amy M. Briesch; Isabella Leiwant – School Psychology Review, 2025
A systematic review was conducted using PsychInfo, ERIC, and Google Scholar using the terms "classroom" and "direct observation". The search yielded 1,006 articles published between 1935 and 2022 with a total of seven observation codes (Behavioral Observation of Students in Schools, Classroom Observation of Engagement,…
Descriptors: Student Behavior, Learner Engagement, Behavior Problems, Interpersonal Relationship
Selena Steinberg; Melissa Gresalfi; Lauren Vogelstein; Corey Brady – Journal of Research on Technology in Education, 2024
This paper considers how a curricular design that integrated computer programming and creative movement shaped students' engagement with computing. We draw on data from a camp for middle schoolers, focusing on an activity in which students used the programming environment NetLogo to re-represent their physical choreography. We analyze the extent…
Descriptors: Dance, Programming, Computation, Computer Simulation
Selçuk Dogan; Mete Akcaoglu – Teacher Education Quarterly, 2024
Learning computer science (CS) is increasingly becoming a necessary component of K-12 education, but in most cases, teachers do not have either the essential knowledge to teach or a curriculum to follow. In this article, we analyze the outcomes from a yearlong, blended professional development (PD) program to teach teachers game design and coding…
Descriptors: Disproportionate Representation, Blended Learning, Professional Development, Computer Science
Adam V. Maltese; Kelli M. Paul; Bárbara Yarza; Lauren Penney – Educational Technology Research and Development, 2024
In this manuscript, we describe a coding club we created and implemented during the COVID-19 pandemic. We were purposeful in creating the club to: (a) focus on design and problem solving as the basis for learning computer coding and (b) include elements to improve the engagement of girls. We ran multiple iterations of a Girls Design with Code Club…
Descriptors: Clubs, Females, Design, Problem Solving
Editorial Projects in Education, 2024
Hands-on activities help spark student curiosity and deepen understanding for better learning outcomes. This Spotlight will help readers learn more about reducing student ambivalence towards math class; examine proven strategies for reengaging students; examine how coding and social-emotional learning (SEL) can improve engagement and deepen…
Descriptors: Learner Engagement, Experiential Learning, Outcomes of Education, Mathematics Education
Zhizezhang Gao; Haochen Yan; Jiaqi Liu; Xiao Zhang; Yuxiang Lin; Yingzhi Zhang; Xia Sun; Jun Feng – International Journal of STEM Education, 2025
Background: With the increasing interdisciplinarity between computer science (CS) and other fields, a growing number of non-CS students are embracing programming. However, there is a gap in research concerning differences in programming learning between CS and non-CS students. Previous studies predominantly relied on outcome-based assessments,…
Descriptors: Computer Science Education, Mathematics Education, Novices, Programming
Masoumeh Bagheri-Nesami; Mahsa Kamali; Amirabbas Mollaei – Smart Learning Environments, 2025
Nurses acknowledge that their understanding of the shortcomings in the utilization of medical devices stems from insufficient knowledge about their correct usage. The use of Quick Response (QR) technology has paved a new gateway for accessing information and resources. The available evidence confirmed the usefulness of QR codes for use in clinical…
Descriptors: Medical Services, Handheld Devices, Knowledge Level, Clinical Experience