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Radloff, Jeffrey; Hall, Jacob A. – Education and Information Technologies, 2022
Recent US science standards conceptualize science as a set of shared multidisciplinary ideas and practices in common with engineering and computer science (CS). At the core, this portrayal requires an understanding of CS as a viable career path and set of discrete knowledge and skills, including those related to computer programming. However,…
Descriptors: Test Construction, Freehand Drawing, Programming, Elementary School Teachers
Zdawczyk, Christina; Varma, Keisha – Computer Science Education, 2023
Background and Context: A continued gender disparity has driven a need for effective interventions for recruiting girls to computer science. Prior research has demonstrated that middle school girls hold beliefs and attitudes that keep them from learning computer science, which can be mitigated through classroom design. Objective: This study…
Descriptors: Females, Computer Science Education, Gender Differences, Student Attitudes
Bers, Marina Umaschi – MIT Press, 2022
Today, schools are introducing STEM education and robotics to children in ever-lower grades. In "Beyond Coding," Marina Umaschi Bers lays out a pedagogical roadmap for teaching code that encompasses the cultivation of character along with technical knowledge and skills. Presenting code as a universal language, she shows how children…
Descriptors: Programming, Computer Science Education, Teaching Methods, Moral Values
Pantic, Katarina; Clarke-Midura, Jody; Poole, Frederick; Roller, Jared; Allan, Vicki – Computer Science Education, 2018
Stereotypes people hold about computer scientists contribute to underrepresentation in computer science. Perceptions of computer scientists have historically been linked to males and a "nerd" culture, which can lead to lack of interest, particularly for girls. This article presents two studies conducted with two groups of middle…
Descriptors: Stereotypes, Computer Science, Disproportionate Representation, Gender Differences
Hansen, Alexandria Killian; Dwyer, Hilary; Harlow, Danielle Boyd; Franklin, Diana – AERA Online Paper Repository, 2016
We developed the Draw-A-Computer-Scientist-Test (DACST) to better understand elementary school students' conceptions of computer scientists and the nature of their work. By understanding how young children perceive computer scientists, we can broaden their ideas about the activities and images of computer scientists. We administered the DACST to…
Descriptors: Computer Science, Scientists, Elementary School Students, Concept Formation
Helm, Susana; Baker, Charlene K. – Journal of Ethnic & Cultural Diversity in Social Work, 2011
Objective: This article highlights the importance of incorporating ethnocultural contexts in prevention research and programming. We provide a case example from our research in youth violence prevention in Hawai'i. Methods: Data were collected in multiethnic communities on O'ahu. Focus groups were conducted with high school-aged youths of Native…
Descriptors: Violence, Prevention, Focus Groups, Programming
Major, Louis – Online Submission, 2010
Teaching computer programming to novices is a difficult task due to the complex nature of the subject, as negative stereotypes are associated with programming and because introductory programming courses often fail to encourage student understanding. This Protocol outlines the plan that is to be followed in order to investigate the effectiveness…
Descriptors: Stereotypes, Search Strategies, Programming, Robotics
Ertl, Bernhard; Helling, Kathrin – Journal of Educational Computing Research, 2011
This article deals with gender phenomena in the context of digital literacy. Studies show that computer use, computer skills, and computer-related self-concepts are subject to gender differences. These differences may affect classroom interactions as well as learning processes and have therefore to be considered carefully by teachers who apply…
Descriptors: Student Attitudes, Computer Uses in Education, Gender Differences, Sex Fairness

Colley, Ann; And Others – Computers in Human Behavior, 1996
This study examined 117 undergraduates' perceptions of ability at computer programming and word processing. In particular, it rated the importance of prior experience factors, keyboarding skills, and personal attributes such as enjoyment of problem solving. Those were discovered, in general, to be more important than formal training or aptitude in…
Descriptors: Aptitude, Cognitive Style, Comparative Analysis, Computer Attitudes