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Lijun Ni; Yan Tian; Han Hao; Tom E. McKlin; Jason Bohrer; Jake P. Baskin – ACM Transactions on Computing Education, 2025
The rapid pace of technological advancement and its immersive impact on our society underscores the need for all students to acquire fundamental knowledge and skills in computer science. Teachers are critical to the efforts to expand access and equity in computer science education. Developing teachers' knowledge, practice, and professional…
Descriptors: Computer Science Education, Professional Identity, Teacher Background, Computer Science
Lorien W. Cafarella – ProQuest LLC, 2023
Many middle school students come to Computer Science (CS) classes without any previous CS instruction or any Computational Thinking (CT) skills that are needed to be successful. To overcome this, many curriculums and programming environments have been used to engage students and to instill a love of CS. Which curriculum should be used to develop…
Descriptors: Middle School Students, Computer Science, Computer Science Education, Program Effectiveness
Nielsen Pereira; Sarah Bright; Zafer Ozen; Shahnaz Safitri; Hernan Castillo-Hermosilla; Brenda C. Matos; Tugce Karatas; Pedro Fonseca – Gifted Child Quarterly, 2025
Technology is an increasingly omnipresent and rapidly changing component of today's world. As a result, there is an urgency to develop talent in the field of computer science (CS). The purpose of this article is to examine ways that educational systems can develop students' talents to fill the need for skilled CS professionals. We provide an…
Descriptors: Computer Uses in Education, Computer Science, Computer Science Education, Talent Development
Adriana Villavicencio; Wendy Martin; Cheri Fancsali; Maya Israel – Journal of Research on Technology in Education, 2025
Because of the rapid expansion of computer science (CS) education, educational leaders must consider how to recruit, prepare, and support teachers who typically do not have a background in CS. This study examines two professional development (PD) approaches used to introduce CS education to non-CS teachers. We aim to understand if/how each model…
Descriptors: Computer Science Education, Models, Faculty Development, Professional Autonomy
Herminio Bodon; Vishesh Kumar; Marcelo Worsley – ACM Transactions on Computing Education, 2025
Objectives: Athletics and sports represent a focal part of adolescence for millions of youth around the world. However, opportunities to engage in computer science (CS) learning experiences are less prevalent, particularly among Hispanic and low-income communities. Recently, researchers have explored ways to bridge these, seemingly, disparate…
Descriptors: Design, Computer Science Education, Physical Education, Athletics
Hamer, Jessica M. M.; Kemp, Peter E. J.; Wong, Billy; Copsey-Blake, Meggie – International Journal of Science Education, 2023
Despite being in a digital age, the diversity of young people choosing to study and work in computing is of ongoing concern, especially low numbers of girls. This paper aims to determine the profile of students who are more likely to aspire to be computer scientists and provide insights into the key factors that shape their aspirations in this…
Descriptors: Foreign Countries, Secondary School Students, Student Attitudes, Occupational Aspiration
Verena Witte; Angela Schwering; Daniel Frischemeier – Statistics Education Research Journal, 2025
Proficient handling of data is a skill gaining importance with the increasing amount and availability of data. Therefore, promoting data literacy should begin in everyday school life. The foundation for this is formed by competence models for data literacy, which include the sub-skill of data collection that has so far been inadequately considered…
Descriptors: Information Literacy, Computer Science, Data Collection, Skill Development
Hengtao Tang; Yingxiao Qian; Susan Porter-Voss – Education and Information Technologies, 2024
Integrating computer science (CS) content into existing STEM curricula emerges as a viable solution to broadening rural students' participation in CS, but rural students have a significant proficiency gap in science and mathematics. By focusing on an English language arts course as the context for CS integration, this exploratory study examined…
Descriptors: Rural Areas, Computer Science, Self Efficacy, Robotics
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
Xin Gong; Weiqi Xu; Ailing Qiao; Zhixia Li – Journal of Computer Assisted Learning, 2025
Background: Robot programming can simultaneously cultivate learners' computational thinking (CT) and spatial thinking (ST). However, there is a noticeable gap in research focusing on the micro-level development patterns of learners' CT and ST and their interconnections. Objectives: This study aims to uncover the intricate development patterns and…
Descriptors: Mental Computation, Thinking Skills, Skill Development, Robotics
Lubna Mohammed Alshamrani – Pegem Journal of Education and Instruction, 2024
Reflective practice is an essential catalyst through which the benefits of teaching and learning can be reaped. Through it, weaknesses and strengths can be identified in a way that helps raise the level of addressing challenges that may arise as well as overcome them. This paper presents the critical reflective practices among computer science…
Descriptors: Reflective Teaching, Secondary School Teachers, Computer Science, Foreign Countries
Dana Kube; Sebastian Gombert; Brigitte Suter; Joshua Weidlich; Karel Kreijns; Hendrik Drachsler – Journal of Computer Assisted Learning, 2024
Background: Gender stereotypes about women and men are prevalent in computer science (CS). The study's goal was to investigate the role of gender bias in computer-supported collaborative learning (CSCL) in a CS context by elaborating on gendered experiences in the perception of individual and team performance in mixed-gender teams in a hackathon.…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Gender Issues, Learning Activities
James Knutson; Kristen Stagg – International Journal of Education in Mathematics, Science and Technology, 2025
This research examines the integration of computational thinking in mathematics education, specifically examining its impact on students' algebraic reasoning. By teaching core computational concepts such as pattern recognition, decomposition, and algorithmic thinking, students develop a deeper understanding of algebraic structures and processes.…
Descriptors: Computation, Thinking Skills, Algebra, Mathematics Instruction
Hamlen Mansour, Karla; Jackson, Debbie K.; Bievenue, Lisa; Voight, Adam; Sridhar, Nigamanth – ACM Transactions on Computing Education, 2023
In a nationwide initiative to increase computer science Education in K-12, many teachers were recruited to CS teaching positions but without adequate preparation, which can lead to lack of confidence and feelings of isolation [35, 54]. In response to these issues, the purpose of this study was to determine the effectiveness of a newly developed…
Descriptors: Computer Science Education, Faculty Development, Peer Teaching, Elementary School Teachers
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

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