scholarly journals A Conceptual Assessment Framework for K-12 Computer Science Rubric Design

2020 ◽  
Author(s):  
Bita Akram ◽  
Wookhee Min ◽  
Eric Wiebe ◽  
Anam Navied ◽  
Bradford Mott ◽  
...  
Keyword(s):  
Computer Science ◽  
Assessment Framework ◽  
K 12

After-Hours Learning

2021 ◽  
Vol 21 (2) ◽  
pp. 1-31
Author(s):  
Joslenne Peña ◽  
Benjamin V. Hanrahan ◽  
Mary Beth Rosson ◽  
Carmen Cole
Keyword(s):  
Science Education ◽  
Computer Science ◽  
Young Women ◽  
Computer Programming ◽  
Computer Science Education ◽  
Professional Women ◽  
Web Development ◽  
Learning Space ◽  
After Hours ◽  
K 12

Many initiatives have focused on attracting girls and young women (K-12 or college) to computer science education. However, professional women who never learned to program have been largely ignored, despite the fact that such individuals may have many opportunities to benefit from enhanced skills and attitudes about computer programming. To provide a convenient learning space for this population, we created and evaluated the impacts of a nine-week web development workshop that was carefully designed to be both comfortable and engaging for this population. In this article, we report how the professionals’ attitudes and skills grew over the course of the workshop and how they now expect to integrate these skills and attitudes into their everyday lives.

Preparing Special Education Preservice Teachers to Teach Computational Thinking and Computer Science in Mathematics

2021 ◽  
pp. 088840642199237
Author(s):  
Emily C. Bouck ◽  
Phil Sands ◽  
Holly Long ◽  
Aman Yadav
Keyword(s):  
Special Education ◽  
Preservice Teachers ◽  
Computer Science ◽  
Students With Disabilities ◽  
Special Education Teachers ◽  
Computational Thinking ◽  
Lesson Plans ◽  
Methods Course ◽  
Mathematics Methods ◽  
K 12

Increasingly in K–12 schools, students are gaining access to computational thinking (CT) and computer science (CS). This access, however, is not always extended to students with disabilities. One way to increase CT and CS (CT/CS) exposure for students with disabilities is through preparing special education teachers to do so. In this study, researchers explore exposing special education preservice teachers to the ideas of CT/CS in the context of a mathematics methods course for students with disabilities or those at risk of disability. Through analyzing lesson plans and reflections from 31 preservice special education teachers, the researchers learned that overall emerging promise exists with regard to the limited exposure of preservice special education teachers to CT/CS in mathematics. Specifically, preservice teachers demonstrated the ability to include CT/CS in math lesson plans and showed understanding of how CT/CS might enhance instruction with students with disabilities via reflections on these lessons. The researchers, however, also found a need for increased experiences and opportunities for preservice special education teachers with CT/CS to more positively impact access for students with disabilities.

scholarly journals Computational Thinking, Between Papert and Wing

2021 ◽  
Author(s):  
Michael Lodi ◽  
Simone Martini
Keyword(s):  
Science Education ◽  
Computer Science ◽  
Computer Science Education ◽  
Computational Thinking ◽  
School Curriculum ◽  
Common Theme ◽  
Technical Content ◽  
Technical Competencies ◽  
K 12 ◽  
Affective Involvement

AbstractThe pervasiveness of Computer Science (CS) in today’s digital society and the extensive use of computational methods in other sciences call for its introduction in the school curriculum. Hence, Computer Science Education is becoming more and more relevant. In CS K-12 education, computational thinking (CT) is one of the abused buzzwords: different stakeholders (media, educators, politicians) give it different meanings, some more oriented to CS, others more linked to its interdisciplinary value. The expression was introduced by two leading researchers, Jeannette Wing (in 2006) and Seymour Papert (much early, in 1980), each of them stressing different aspects of a common theme. This paper will use a historical approach to review, discuss, and put in context these first two educational and epistemological approaches to CT. We will relate them to today’s context and evaluate what aspects are still relevant for CS K-12 education. Of the two, particular interest is devoted to “Papert’s CT,” which is the lesser-known and the lesser-studied. We will conclude that “Wing’s CT” and “Papert’s CT,” when correctly understood, are both relevant to today’s computer science education. From Wing, we should retain computer science’s centrality, CT being the (scientific and cultural) substratum of the technical competencies. Under this interpretation, CT is a lens and a set of categories for understanding the algorithmic fabric of today’s world. From Papert, we should retain the constructionist idea that only a social and affective involvement of students into the technical content will make programming an interdisciplinary tool for learning (also) other disciplines. We will also discuss the often quoted (and often unverified) claim that CT automatically “transfers” to other broad 21st century skills. Our analysis will be relevant for educators and scholars to recognize and avoid misconceptions and build on the two core roots of CT.

Equity in high school computer science: Beyond access

2021 ◽  
pp. 147821032110630
Author(s):  
Paul Bruno ◽  
Colleen M Lewis
Keyword(s):  
High School ◽  
Native American ◽  
High School Students ◽  
Computer Science ◽  
Female Students ◽  
Racial Groups ◽  
School Students ◽  
Level Data ◽  
And Gender ◽  
K 12

Little is known about the extent to which expansions of K-12 computer science (CS) have been equitable for students of different racial backgrounds and gender identities. Using longitudinal course-level data from all high schools in California between the 2003–2004 and 2018–2019 school years we find that 79% of high school students in California, including majorities of all racial groups, are enrolled in schools that offer CS, up from 45% in 2003. However, while male and female students are equally likely to attend schools that offer CS courses, CS courses represent a much smaller share of course enrollments for female students than for male students. Non-Asian students enroll in relatively few CS courses, and this is particularly true for Black, Hispanic, and Native American students. Race gaps in CS participation are to a substantial degree explicable in terms of access gaps, but gender gaps in CS participation are not. Different groups of students have access to CS teachers with similar observable qualifications, but CS teachers remain predominantly white and male. Consequently, white and male CS students are much more likely than other students to have same-race or same-gender instructors. Our findings and the implications we draw for practice will be of interest to administrators and policymakers who, over and above needing to ensure equitable access to CS courses for students, need to attend carefully to equity-related course participation and staffing considerations.

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