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Sanna Forsström; Melissa Bond – International Journal of Computer Science Education in Schools, 2024
Despite the widespread adoption of computational thinking (CT) across educational levels, challenges persist in its assessment due to diverse definitions, frameworks, and practical applications in classroom settings. This meta-synthesis investigates the assessment of computational thinking (CT) in primary and secondary education, synthesising…
Descriptors: Computation, Thinking Skills, Elementary Secondary Education, Barriers
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Wahid Yunianto; Adi Nur Cahyono; Theodosia Prodromou; Shereen El-Bedewy; Zsolt Lavicza – Science Activities: Projects and Curriculum Ideas in STEM Classrooms, 2025
Creativity and problem-solving are 21st-century skills that we need to develop in our students. Research on computational thinking (CT) integration in school subjects and STEAM activities has shown a positive effect on students' problem-solving skills and creativity. Our study extends our previous work from the integration of CT in a mathematics…
Descriptors: Computation, Thinking Skills, STEM Education, Creativity
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Humble, Niklas; Mozelius, Peter – International Journal of Information and Learning Technology, 2023
Purpose: The conducted examination of programming affordances and constraints had the purpose of adding knowledge and value that facilitate the on-going national curricula revision; knowledge that also could be of general interest outside the Swedish K-12 context. Design/methodology/approach: With a qualitative approach, the study was conducted as…
Descriptors: Programming, Affordances, Barriers, Foreign Countries
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Imre Bende – Acta Didactica Napocensia, 2024
The continuous development of artificial intelligence-based tools makes their emergence inevitable in education as well as other fields of life. This article presents findings of a mixed method study aimed at investigating the current perceptions and potential applications of AI in Hungarian educational settings. Through interviews with high…
Descriptors: Readiness, Artificial Intelligence, Technology Uses in Education, Foreign Countries
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Hamerski, Paul C.; McPadden, Daryl; Caballero, Marcos D.; Irving, Paul W. – Physical Review Physics Education Research, 2022
High school science classrooms across the United States are answering calls to make computation a part of science learning. The problem is that there is little known about the barriers to learning that computation might bring to a science classroom or about how to help students overcome these challenges. This case study explores these challenges…
Descriptors: High School Students, Student Attitudes, Secondary School Science, Science Instruction
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Sally McHugh; Noel Carroll; Cornelia Connolly – Computers in the Schools, 2024
Citizen Development (CD) is a method of delivering low-code no-code (LCNC) development that empowers subject matter experts to design, develop, and deploy applications into production as though they were full-on, experienced coders. This paper explores teachers' perceptions around the potential for, and enactment of LCNC in our education system.…
Descriptors: Secondary School Teachers, Teacher Empowerment, Teacher Attitudes, Technology Uses in Education
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Cederqvist, A-M. – Education and Information Technologies, 2022
Designing programmed technological solutions (PTS) with programming materials has become a way to contextualise educational content related to PTS and programming. However, studies show that pupils have difficulties conceptualising central phenomena involved in the process, which affects their ability to design PTS. In order to understand these…
Descriptors: Programming, Coding, Computer System Design, Elementary School Students
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DeLiema, David; Kwon, Yejin Angela; Chisholm, Andrea; Williams, Immanuel; Dahn, Maggie; Flood, Virginia J.; Abrahamson, Dor; Steen, Francis F. – Cognition and Instruction, 2023
When teachers, researchers, and students describe productively responding to moments of failure in the learning process, what might this mean? Blending prior theoretical and empirical research on the relationship between failure and learning, and empirical results from four data sets that are part of a larger design-based research project, we…
Descriptors: Guidelines, Learning Processes, Correlation, Failure
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Edwards, John; Hart, Kaden; Shrestha, Raj – Journal of Educational Data Mining, 2023
Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…
Descriptors: Data Analysis, Computer Science Education, Learning Analytics, Research Methodology
Arslankara, Veysel Bilal; Usta, Ertugrul – Online Submission, 2020
The activities of the students during the summer holidays, learning losses or the forgetfulness of the return of the holidays have been discussed in the educational sciences for a long time. However, very little research is being done and has little place in educational policies. This is especially important in applications and continuity courses…
Descriptors: School Schedules, Vacations, Learning Activities, Extracurricular Activities
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Simonson, Michael, Ed.; Seepersaud, Deborah, Ed. – Association for Educational Communications and Technology, 2021
For the forty-fourth time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented online and onsite during the annual AECT Convention. Volume 1 contains papers dealing primarily with research and development topics. Papers dealing with…
Descriptors: Educational Technology, Technology Uses in Education, Computer Mediated Communication, Video Technology
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Recker, Mimi M.; Dorward, James; Nelson, Laurie Miller – Educational Technology & Society, 2004
Much recent research and funding have focused on building Internet-based repositories that contain collections of high-quality learning resources, often called "learning objects." Yet little is known about how non-specialist users, in particular teachers, find, access, and use digital learning resources. To address this gap, this article…
Descriptors: Science Teachers, Case Studies, Educational Resources, Mathematics Teachers