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Shaw, Mia S.; Coleman, James Joshua; Thomas, Ebony Elizabeth; Kafai, Yasmin B. – Journal of the Learning Sciences, 2023
Background: Scholarship demonstrates that Black girls' capacities to imagine possible futures in computing are constrained by narratives of white masculinity and misogynoir embedded within computing. Building on race critical code studies and identity-as-narrative theories, we examine "restorying" through Black womanist storytelling…
Descriptors: African Americans, Females, Racism, Gender Bias
Shanley, Nicole; Martin, Florence; Hite, Nicole; Perez-Quinones, Manuel; Ahlgrim-Delzell, Lynn; Pugalee, David; Hart, Ellen – TechTrends: Linking Research and Practice to Improve Learning, 2022
Current research surrounding online computer science education emphasizes the need for high-quality professional development opportunities. However, there is a gap in research in the inclusion of online computer science educators to identify needs and strategies that make the online computer science courses effective. Through a…
Descriptors: High School Teachers, Computer Science Education, Theory Practice Relationship, Partnerships in Education
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
Amanda Peel; Sugat Dabholkar; Gabriella Anton; Mike Horn; Uri Wilensky – Computer Science Education, 2024
Background and Context: To better reflect the computational nature of STEM disciplines and deepen learning of science content computational thinking (CT) should be integrated in science curricula. Teachers have a critical role in supporting effective student learning with CT integrated curricula in classroom settings. Objective: Our team worked…
Descriptors: Biology, Computer Science Education, Science Instruction, Thinking Skills
Mubashrah Saddiqa; Kristian Helmer Kjær Larsen; Robert Nedergaard Nielsen; Jens Myrup Pedersen – Journal of Cybersecurity Education, Research and Practice, 2024
Cybersecurity has traditionally been perceived as a highly technical field, centered around hacking, programming, and network defense. However, this article contends that the scope of cybersecurity must transcend its technical confines to embrace a more inclusive approach. By incorporating various concepts such as privacy, data sharing, and…
Descriptors: Labor Force Development, Diversity, Educational Background, Information Security
Torbey, Ryan; Martin, Nicole D.; Warner, Jayce R.; Fletcher, Carol L. – Texas Education Research Center, 2020
A complex web of factors can influence whether students participate in computer science (CS) during high school. In order to increase participation in CS for all students, there is a need to better understand who is currently participating and what factors might be hindering participation. This study utilized a large-scale, student-level dataset…
Descriptors: Algebra, High School Students, Computer Science Education, Student Participation
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
Karlin, Michael; Ottenbreit-Leftwich, Anne; Liao, Yin-Chan – Computer Science Education, 2023
Background: Despite ongoing calls for prioritizing K-12 computer science (CS) education, an enduring gender gap exists. Objective: We explored one high school CS program where female participation was consistently higher than state averages to better understand how the program was developed. Method: Using a case study method, data were collected…
Descriptors: Computer Science Education, Gender Differences, Student Participation, High School Students
Kadir Bahar; Erdogan Kaya; Xiaolu Zhang; Eter Mjavanadze – Journal of Advanced Academics, 2023
This study explores the direction and magnitude of racial disparities on three advanced placement (AP) computer science (CS) exams, namely AP CS Principles, AP CS A, and AP CS AB, based on the test scores of more than one million students who have taken AP CS exams between 1997 and 2020. Using Mann-Kendall test and Sen's slope procedures we found…
Descriptors: Educational Trends, Trend Analysis, Academic Achievement, High Achievement
Yong, Su Ting; Tiong, Kung Ming – International Journal of Information and Communication Technology Education, 2022
This study explored students' motivation and difficulties in learning programming in a blended learning environment. The face-to-face classroom instructions were blended with digital learning instructions. The study adopted a convergent parallel design mixed methods research and involved 209 pre-university students. The findings were as follows:…
Descriptors: Blended Learning, Student Motivation, Programming, Computer Science Education

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
Martin, Florence; Shanley, Nicole; Hite, Nicole; Pugalee, David; Perez-Quinones, Manuel; Ahlgrim-Delzell, Lynn; Hart, Ellen – Computers in the Schools, 2023
Based on a current Research to Practice Partnership (RPP) between a southeastern public university and a state virtual public school in the United States, ten high school teachers from a virtual school who teach Computer Science (CS) online participated in a summer workshop to collaborate through a participatory action research project regarding…
Descriptors: Faculty Development, High School Teachers, Web Based Instruction, Virtual Schools
Bruno, Paul; Lewis, Colleen M. – Educational Administration Quarterly, 2022
Purpose: We aim to better understand the curricular, staffing, and achievement trade-offs entailed by expansions of high-school computer science (CS) for students, schools, and school leaders. Methods: We use descriptive, correlational, and quasi-experimental methods to analyze statewide longitudinal course-, school-, and staff-level data from…
Descriptors: High School Students, Computer Science Education, Educational Trends, Course Selection (Students)
Souza, Isabelle M. L.; Andrade, Wilkerson L.; Sampaio, Lívia M. R. – Informatics in Education, 2022
Nowadays, solving problems is substantial for the social relationship human. Computational Thinking (CT) emerges as an interdisciplinary thought process encompassing mental abilities to help students solve and understand problems. Researchers invest in the methodological proposal of activities aimed at CT stimulation, educational approaches, and…
Descriptors: Robotics, Vocational Education, High School Students, Thinking Skills
Plangg, Simon; Fuchs, Karl Josef – International Journal for Technology in Mathematics Education, 2022
Using robot programming activities for learning in the classroom is one way to drive interest and engagement in the STEM field among students, especially girls. And this is afield that is particularly characterized by an underrepresentation of women. Accordingly, many countries are increasingly integrating activities related to computer science…
Descriptors: Robotics, Programming, STEM Education, Computer Science Education