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Exploration of Intersectionality and Computer Science Demographics

ACM Transactions on Computing Education, 2021
Although computing occupations have some of the greatest projected growth rates, there remains a deficit of graduates in these fields. The struggle to engage enough students to meet demands is particularly pronounced for groups already underrepresented ...
S. Lunn   +3 more
semanticscholar   +1 more source

The race to implement computer science for all

open access: closedSchool Science and Mathematics, 2019
Margaret J. Mohr‐Schroeder
openaire   +3 more sources

A critical review of literature on “unplugged” pedagogies in K-12 computer science and computational thinking education

Computer Science Education, 2020
Background and Context Computational thinking (CT) is considered as a valuable literacy for all students, and its inclusion in compulsory schooling could increase the numbers of underrepresented students who pursue computing-related careers.
Wendy Huang, C. Looi
semanticscholar   +1 more source

Take space, make space: how students use computer science to disrupt and resist marginalization in schools

Computer Science Education, 2020
Background and Context Overlaying Computer Science (CS) courses on top of inequitable schooling systems will not move us toward “CS for All.” This paper prioritizes the perspectives of minoritized students enrolled in high school CS classrooms across a ...
Jean J. Ryoo   +3 more
semanticscholar   +1 more source

Rac(e)ing to computer science for all: how teachers talk and learn about equity in professional development

Computer Science Education, 2020
Background and Context: Though computer science education is marked by a pronounced racial participation gap, there is little research about effective ways that teachers can be supported in creating racially-just and equitable computer science learning ...
J. Goode   +4 more
semanticscholar   +1 more source

Equalizing Data Science Curriculum for Computer Science Pupils

European Conference on Modelling and Simulation, 2020
Data science is a new interdisciplinary field of research that focuses on extracting value from data. As an interdisciplinary science it integrates knowledge and methods from computer science, mathematics and statistics, and the domain knowledge of the ...
Koby Mike, Tamir Hazan, O. Hazzan
semanticscholar   +1 more source

Teaching CS50 with AI: Leveraging Generative Artificial Intelligence in Computer Science Education

Technical Symposium on Computer Science Education
In Summer 2023, we developed and integrated a suite of AI-based software tools into CS50 at Harvard University. These tools were initially available to approximately 70 summer students, then to thousands of students online, and finally to several hundred
Rong Liu   +5 more
semanticscholar   +1 more source

Preparing STEM Teachers to offer New Mexico Computer Science for All [PDF]

open access: possibleProceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 2017
In this paper, we describe a new teacher professional development program, New Mexico Computer Science for All (NM-CSforAll), that prepares high school science, technology, engineering and math (STEM) teachers to serve as learning coaches / teaching assistants for a dual credit Computer Science (CS) course. The dual credit course for students follows a
Maureen Psaila Dombrowski   +2 more
openaire   +1 more source

It's All In The Mix: Leveraging food to increase students' persistence in Computer Science [PDF]

open access: possible2015 Research in Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT), 2015
Computer Science courses seek to hone students' computational algorithmic thinking (CAT) capabilities. Oftentimes, students fail to recognize the connection between CAT in everyday life and its application in academic settings. One context in which people have a great deal of experience and expertise engaging in the design, implementation, and ...
Jakita O. Thomas, Yolanda A. Rankin
openaire   +1 more source

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