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Showing 1 to 15 of 36 results Save | Export
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Nicolas Pope; Juho Kahila; Henriikka Vartiainen; Matti Tedre – IEEE Transactions on Learning Technologies, 2025
The rapid advancement of artificial intelligence and its increasing societal impacts have turned many computing educators' focus toward early education in machine learning (ML). Limited options for educational tools for teaching novice learners about the mechanisms of ML and data-driven systems presents a recognized challenge in K-12 computing…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Computer Science Education, Grade 4
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Tyler S. Love – Interactive Learning Environments, 2024
Providing greater access to computer science (CS) education for K-12 students in the United States (U.S.) has increased interest in integrating CS concepts within authentic science, technology, engineering, and mathematics (STEM) contexts. Physical computing is one method that has demonstrated promising results in other countries (e.g. England)…
Descriptors: Middle School Students, Student Attitudes, Computer Science Education, STEM Education
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Priti Oli; Rabin Banjade; Jeevan Chapagain; Vasile Rus – Grantee Submission, 2023
This paper systematically explores how Large Language Models (LLMs) generate explanations of code examples of the type used in intro-to-programming courses. As we show, the nature of code explanations generated by LLMs varies considerably based on the wording of the prompt, the target code examples being explained, the programming language, the…
Descriptors: Computational Linguistics, Programming, Computer Science Education, Programming Languages
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Rafael Herrero-Álvarez; Coromoto León; Gara Miranda; Eduardo Segredo; Óscar Socas; María Cuellar-Moreno; Daniel Caballero-Juliá – International Journal of Computer Science Education in Schools, 2023
Emotions play a crucial role in knowledge acquisition and can significantly impact motivation when studying a new field. Unfortunately, young people, especially girls, are often not drawn to Computer Science. To address this issue, we conducted an analysis of emotions among 8-9-year-old and 12-13-year-old students engaged in Computational Thinking…
Descriptors: Computation, Thinking Skills, Learning Activities, Student Characteristics
David E. Platt – ProQuest LLC, 2024
This qualitative, phenomenological research study explores the best practices that secondary Grades 6-12 educators employ when using microcontrollers in the classroom. Governmental and private organizations have investigated and promoted the importance of Science, Technology, Engineering, Math (STEM) and computer science in education (Code…
Descriptors: Best Practices, Teaching Methods, Computer Science Education, Programming
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Stephen Hiller; Jessica Campbell; Patricia Muller; Anne-Maree Ruddy – Grantee Submission, 2024
The Green River Regional Educational Cooperative (GRREC) and its partners administered the STEM-CS intervention to support the professional learning of middle and high school STEM teachers in rural southcentral Kentucky counties. The goals of the STEM-CS intervention were to improve teacher STEM-CS knowledge, practice, implementation, and…
Descriptors: High School Teachers, Rural Schools, Faculty Development, STEM Education
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Teresa M. Ober; Ying Cheng; Meghan R. Coggins; Paul Brenner; Janice Zdankus; Philip Gonsalves; Emmanuel Johnson; Tim Urdan – Computer Science Education, 2024
Background and Context: Differences in children's and adolescents' initial attitudes about computing and other STEM fields may form during middle school and shape decisions leading to career entry. Early emerging differences in career interest may propagate a lack of diversity in computer science and programming fields. Objective: Though middle…
Descriptors: Middle School Students, Student Attitudes, Computer Science Education, STEM Education
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Radke, Sarah C.; Vogel, Sara E.; Ma, Jasmine Y.; Hoadley, Christopher; Ascenzi-Moreno, Laura – Teachers College Record, 2022
Background/Context: Bi/multilingual students' STEM learning is better supported when educators leverage their language and cultural practices as resources, but STEM subject divisions have been historically constructed based on oppressive, dominant values and exclude the ways of knowing of nondominant groups. Truly promoting equity requires…
Descriptors: Middle School Students, Bilingual Students, STEM Education, Code Switching (Language)
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Cassie F. Quigley; Danielle Herro; Holly Plank; Aileen Owens; Oluwadara Abimbade – Computer Science Education, 2024
Background and context: Historically underrepresented youth in computer science persistently experience barriers making it difficult to see themselves in the computer science field including computer science programs and curricula with consistent stereotypical references focused on competition, individualism, and male-associated topics…
Descriptors: Computer Science Education, Minority Group Students, Student Interests, Self Concept
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Juho Kahila; Henriikka Vartiainen; Matti Tedre; Eetu Arkko; Anssi Lin; Nicolas Pope; Ilkka Jormanainen; Teemu Valtonen – Informatics in Education, 2024
The integration of artificial intelligence (AI) topics into K-12 school curricula is a relatively new but crucial challenge faced by education systems worldwide. Attempts to address this challenge are hindered by a serious lack of curriculum materials and tools to aid teachers in teaching AI. This article introduces the theoretical foundations and…
Descriptors: Personal Autonomy, Data, Children, Creativity
Meize Guo – ProQuest LLC, 2022
The consistent prevalence of computer science in our society and the urgent need for STEM professionals in the U.S. raised the need for computer science education at the K-8 level. Researchers have examined the challenges, possible approaches, and contents of teaching computer science. However, there has been limited research on teachers'…
Descriptors: Elementary School Teachers, Computer Science Education, Kindergarten, Grade 1
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Sun, Dan; Ouyang, Fan; Li, Yan; Chen, Hongyu – Journal of Educational Computing Research, 2021
Pair programming is a collaborative learning mode to foster novice learners' computer programming. Previous empirical research has reported contrasting conclusions about the effect of pair programming on student learning. To further understand students' pair programming, this study uses a mixed method to analyze three contrasting pairs'…
Descriptors: Cooperative Learning, Programming, Computer Science Education, Junior High School Students
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Statter, David; Armoni, Michal – ACM Transactions on Computing Education, 2020
Abstraction is one of the most fundamental ideas in computer science (CS), and as such, according to Bruner, it should be taught spirally, starting as early as possible and revisited at every level of education. However, teaching CS abstraction to novices is a very challenging task, and CS educational research has often demonstrated students'…
Descriptors: Middle School Students, Grade 7, Computer Science Education, Abstract Reasoning
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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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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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