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Showing 1 to 15 of 141 results Save | Export
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
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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
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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
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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
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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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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
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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
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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
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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
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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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Sarah Emily Wilson; Joseph B. Wiggins; Lauren N. Wong; Tracy Gault Ulrich; Bill Causey; Jorge Parra; Nicholas A. Gage; Jose Blackorby – Journal of Special Education Technology, 2025
Over the past few decades, advances in computing power and the widespread adoption of the Internet have completely transformed the ways that people obtain information, communicate, educate, and conduct business. Unfortunately, access to technology and to the training required to use technology are not equitably distributed in the United States,…
Descriptors: Students with Disabilities, Educational Technology, Technology Uses in Education, Intervention
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Supanun Pimdee; Thapanee Seechaliao – Journal of Education and Learning, 2025
The research objectives were to 1) study the current conditions, problems, and good practices regarding teaching and learning 2) develop a blended instructional model using problem-based learning with graphic organizers to enhance systems thinking skills in computational science for students in lower secondary school and 3) study the results of…
Descriptors: Blended Learning, Instructional Materials, Secondary School Students, Grade 7
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Michael J. Berson; Ilene R. Berson; Kristen L. Franklin; Valerie N. Fawley; Perry S. Shank; Rebecca E. Dovi; Santiago Gasca; Eric D. Hochberg; Debra Bernstein – Social Education, 2024
The landscape of education is dynamically evolving with the infusion of technology into classrooms, but it is not just math or science disciplines that are getting a digital makeover. Social studies education has entered a transformative phase as well. The "Computer Science for Social Studies" project, funded by the National Science…
Descriptors: Critical Thinking, Active Learning, Inquiry, Social Studies
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Jinjushang Chen; Lara Perez-Felkner; Chantra Nhien; Shouping Hu; Kristen Erichsen; Yang Li – Research in Higher Education, 2024
Gender disparities persist in postsecondary computing fields, despite improvements in postsecondary equity overall and STEM fields as an aggregate. The entrenchment of this issue requires a comprehensive, longitudinal lens. Building on expectancy-value theory, the present study examines the relationships among students' gender-ability stereotypes,…
Descriptors: STEM Education, Computer Science, Gender Differences, Disproportionate Representation
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