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Cyril Brom; Anna Drobná; Anna Yaghobová; Daniel Št’astný; Katerina Zábrodská; Marek Urban – ACM Transactions on Computing Education, 2025
Objectives: Limited research exists on how new computer science (CS) teachers understand fundamental Internet principles. This knowledge gap hinders the development of effective upskilling courses, especially as new CS curricula are being introduced worldwide. This study investigates new CS teachers' conceptions of fundamental Internet principles,…
Descriptors: Internet, Knowledge Level, Computer Science Education, Elementary School Teachers
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Jean Salac; Lena Armstrong; F. Megumi Kivuva; Jayne Everson; Amy J. Ko – ACM Transactions on Computing Education, 2025
Background and Context: With the growing movement to adopt critical framings of computing, scholars have worked to reframe computing education from the narrow development of programming skills to skills in identifying and resisting oppressive structures in computing. However, we have little guidance on how these framings may manifest in classroom…
Descriptors: Critical Theory, Computer Science Education, Summer Programs, Secondary School Students
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Monika Mladenovic; Lucija Medak; Divna Krpan – ACM Transactions on Computing Education, 2025
Computer Science (CS) Unplugged activities are designed to engage students with CS concepts. It is an active learning approach combining physical interaction with visual representation. This research article investigates the impact of CS Unplugged on students' understanding of the bubble sort algorithm. Algorithm visualization, traditionally…
Descriptors: Computer Science Education, Learning Activities, Active Learning, Algorithms
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Deepti Tagare – ACM Transactions on Computing Education, 2024
Background and Objective: Teacher assessment research suggests that teachers have good conceptual understanding of CT. However, to model CT-based problem-solving in their classrooms, teachers need to develop the ability to recognize when and how to apply CT skills. Does existing professional development (PD) equip teachers to know when and how to…
Descriptors: Computation, Thinking Skills, Elementary Secondary Education, Predictor Variables
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Lauren E. Margulieux; Yin-Chan Liao; Erin Anderson; Miranda C. Parker; Brendan D. Calandra – ACM Transactions on Computing Education, 2024
Integrated computing curricula combine learning objectives in computing with those in another discipline, like literacy, math, or science, to give all students experience with computing, typically before they must decide whether to take standalone CS courses. One goal of integrated computing curricula is to provide an accessible path to an…
Descriptors: Technology Uses in Education, Technology Integration, Computer Uses in Education, Computer Science
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Ramon Mayor Martins; Christiane G. Von Wangenheim; Marcelo F. Rauber; Adriano F. Borgatto; Jean C. R. Hauck – ACM Transactions on Computing Education, 2024
As Machine Learning (ML) becomes increasingly integrated into our daily lives, it is essential to teach ML to young people from an early age including also students from a low socioeconomic status (SES) background. Yet, despite emerging initiatives for ML instruction in K-12, there is limited information available on the learning of students from…
Descriptors: Artificial Intelligence, Computer Science Education, Socioeconomic Status, Correlation
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Lijun Ni; Gillian Bausch; Elizabeth Thomas-Cappello; Fred Martin; Bernardo Feliciano – ACM Transactions on Computing Education, 2024
This study examined student learning outcomes from a middle school computer science (CS) curriculum developed through a researcher and practitioner partnership (RPP) project. The curriculum is based on students creating mobile apps that serve community and social good. We collected two sets of data from 294 students in three urban districts: (1)…
Descriptors: Computer Software, Middle School Students, Coding, Self Efficacy
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Jean J. Ryoo; Takeria Blunt – ACM Transactions on Computing Education, 2024
Culturally responsive computing (CRC), that centers sociopolitical issues and transformational uses of technology, has been described as valuable for increasing engagement with computing, especially for historically underrepresented minoritized students. But what do high school students think? Through a sociocultural lens prioritizing student…
Descriptors: Student Attitudes, Computer Science Education, Power Structure, Ethics
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Anette Bentz; Bernhard Standl – ACM Transactions on Computing Education, 2024
Digital literacy is considered to be crucial for social and professional participation. Hence, several projects have been launched in school, as well as extracurricular activities to promote digital literacy in middle school. They aim, among other things, to increase interest in the so-called STEM subjects (science, technology, engineering, and…
Descriptors: Digital Literacy, Computer Science Education, Extracurricular Activities, Middle School Students
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Ismaila Temitayo Sanusi; Fred Martin; Ruizhe Ma; Joseph E. Gonzales; Vaishali Mahipal; Solomon Sunday Oyelere; Jarkko Suhonen; Markku Tukiainen – ACM Transactions on Computing Education, 2024
As initiatives on AI education in K-12 learning contexts continues to evolve, researchers have developed curricula among other resources to promote AI across grade levels. Yet, there is a need for more effort regarding curriculum, tools, and pedagogy, as well as assessment techniques to popularize AI at the middle school level. Drawing on prior…
Descriptors: Artificial Intelligence, Middle School Students, Learner Engagement, Technology Uses in Education
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Colin Hennessy Elliott; Jessie Nixon; Alexandra Gendrau Chakarov; Jeffrey B. Bush; Michael J. Schneider; Mimi Recker – ACM Transactions on Computing Education, 2024
Objectives: Physical computing systems are increasingly being integrated into secondary school science and STEM instruction, yet little is known about how teachers, especially those with little background and experience in computing, help students during the inevitable debugging moments that arise. In this article, we describe a framework,…
Descriptors: Computer Science Education, Troubleshooting, Teaching Methods, Secondary School Students
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Zitsi Mirakhur; Cheri Fancsali; Kathryn Hill – ACM Transactions on Computing Education, 2024
Objectives: At the K-12 level, "CS for All" initiatives across the country strive to increase equitable access to and participation in computer science (CS). However, there are many open questions about the implementation and effectiveness of these initiatives, including the extent to which exposing young people to CS early on can shape…
Descriptors: Grade 6, Grade 7, Grade 8, African American Students
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David DeLiema; Jeffrey K. Bye; Vijay Marupudi – ACM Transactions on Computing Education, 2024
Learning to respond to a computer program that is not working as intended is often characterized as finding a singular bug causing a singular problem. This framing underemphasizes the wide range of ways that students and teachers could notice discrepancies from their intention, propose causes of those discrepancies, and implement interventions.…
Descriptors: Computer Software, Troubleshooting, Intention, Intervention
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Tshukudu, Ethel; Sentance, Sue; Adelakun-Adeyemo, Oluwatoyin; Nyaringita, Brenda; Quille, Keith; Zhong, Ziling – ACM Transactions on Computing Education, 2023
Motivation: As K-12 computing education becomes more established throughout the world, there is an increasing focus on accessibility for all, whether in a particular country or setting or in areas of the world that may not yet have computing established. This is primarily articulated as an equity issue. The recently developed "capacity…
Descriptors: Foreign Countries, Elementary Secondary Education, Computer Science Education, Geographic Regions
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McGill, Monica; Snow, Eric; Vaval, Luronne; DeLyser, Leigh Ann; Wortel-London, Stephanie; Thompson, Angelica – ACM Transactions on Computing Education, 2023
Research Problem: Computer science (CS) education researchers conducting studies that target high school students have likely seen their studies impacted by COVID-19. Interpreting research findings impacted by COVID-19 presents unique challenges that will require a deeper understanding as to how the pandemic has affected underserved and…
Descriptors: Computer Science Education, COVID-19, Pandemics, Socioeconomic Status
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