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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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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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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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Maruyama, Ryoga; Ogata, Shinpei; Kayama, Mizue; Tachi, Nobuyuki; Nagai, Takashi; Taguchi, Naomi – International Association for Development of the Information Society, 2022
This study aims to explore an educational learning environment that supports students to learn conceptual modelling with the unified modelling language (UML). In this study, we call the describing models "UML programming." In this paper, we show an educational UML programming environment for science, technology, engineering, art, and…
Descriptors: Case Studies, Programming Languages, Learning Processes, Models
Rotermund, Susan; Burke, Amy – National Science Foundation, 2021
Elementary and secondary science, technology, engineering, and mathematics (STEM) education is the foundation for students' entry into postsecondary STEM majors as well as a wide variety of STEM occupations. Proficiency in STEM fields is vital to economic growth and international competitiveness and important for all citizens in an increasingly…
Descriptors: Elementary Education, Secondary Education, STEM Education, Educational Indicators
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Mouza, Chrystalla; Marzocchi, Alison; Pan, Yi-Cheng; Pollock, Lori – Journal of Research on Technology in Education, 2016
Current policy efforts that seek to improve learning in science, technology, engineering, and mathematics (STEM) emphasize the importance of helping all students acquire concepts and tools from computer science that help them analyze and develop solutions to everyday problems. These goals have been generally described in the literature under the…
Descriptors: Program Development, Program Implementation, After School Programs, Middle School Students
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Borge, Marcela; Toprani, Dhvani; Yan, Shulong; Xia, Yu – Computer Science Education, 2020
Background and Context: in this paper, we argue that integrating Human-Computer Interaction (HCI) into K-12 computing education can present learners with opportunities to develop human-centered design skills as well as higher-order thinking skills. Objective: to address the issues related to the development of HCI forms of expertise, we introduce…
Descriptors: Elementary Secondary Education, Design, Skill Development, Thinking Skills
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries