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Showing 1 to 15 of 37 results Save | Export
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Draper, Steve; Maguire, Joseph – ACM Transactions on Computing Education, 2023
The overall aim of this article is to stimulate discussion about the activities within CER, and to develop a more thoughtful and explicit perspective on the different types of research activity within CER, and their relationships with each other. While theories may be the most valuable outputs of research to those wishing to apply them, for…
Descriptors: Computer Science Education, Educational Research, Computer Science, Classification
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Ronan, Darcy; Erdil, D. Cenk; Brylow, Dennis – ACM Transactions on Computing Education, 2023
Instrument development is an important step towards unlocking the analytical power of teacher attitudes and beliefs towards Computer Science (CS). Teacher dispositions have strong empirical and theoretical ties to teacher motivation, professional choices, and classroom practices. To determine consensus desirable attitudes and beliefs, we analyzed…
Descriptors: Teacher Attitudes, Computer Science, Test Construction, Test Validity
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El-Hamamsy, Laila; Bruno, Barbara; Avry, Sunny; Chessel-Lazzarotto, Frédérique; Dehler Zufferey, Jessica; Mondada, Francesco – ACM Transactions on Computing Education, 2023
Context: With the introduction of Computer Science (CS) into curricula worldwide, teachers' adoption of CS pedagogical content is essential to ensure the long-term success of reform initiatives. Continuing Professional Development (CPD) programs play a key role in this process. Unfortunately, adoption is seldom evaluated in CS-CPDs or CPDs in…
Descriptors: Elementary School Teachers, Computer Science Education, Computer Science, Adoption (Ideas)
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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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Gregor Große-bölting; Dietrich Gerstenberger; Lara Gildehaus; Andreas Mühling; Carsten Schulte – ACM Transactions on Computing Education, 2023
The disciplinary identity as a computer science student has recently received increasing attention as a well-developed subject identity can help with increasing retention, interest, and motivation. Besides, identity theory can serve as an analytical lens for issues around diversity. However, identity is also often perceived as a vague, overused…
Descriptors: Computer Science, Computer Science Education, Students, Computer Uses in Education
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Arif Rachmatullah; Jessica Vandenberg; Sein Shin; Eric Wiebe – ACM Transactions on Computing Education, 2023
The current study compared American, Korean, and Indonesian middle and high school students' CS attitudes. Concurrently, this study also examined whether the items in the CS attitudes scale exhibit country and gender measurement biases. We gathered data on CS attitudes from middle and high school students in the US, Korea, and Indonesia. The…
Descriptors: Foreign Countries, Middle School Students, High School Students, Computer Science
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Veeragoudar, Sneha; Sullivan, Florence R. – ACM Transactions on Computing Education, 2022
Here, we present the results of a study of in-service teachers' responses to equity-based case study vignettes focused on racialized classroom incidents. This study was conducted in the context of an ongoing research practice partnership aimed at integrating computer science concepts in elementary grades. Our work took place in a public school…
Descriptors: Teacher Attitudes, Racial Attitudes, Computer Science, Elementary Education
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Jacob, Sharin Rawhiya; Montoya, Jonathan; Nguyen, Ha; Richardson, Debra; Warschauer, Mark – ACM Transactions on Computing Education, 2022
Developing student interest is critical to supporting student learning in computer science. Research indicates that student interest is a key predictor of persistence and achievement. While there is a growing body of work on developing computing identities for diverse students, little research focuses on early exposure to develop multilingual…
Descriptors: Multilingualism, Student Development, Self Concept, Computer Science
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Lunn, Stephanie; Zahedi, Leila; Ross, Monique; Ohland, Matthew W. – 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 in computing, specifically, individuals that self-identify as a woman, or as Black,…
Descriptors: Computer Science, Disproportionate Representation, Minority Groups, Enrollment Rate
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Vandenberg, Jessica; Tsan, Jennifer; Boulden, Danielle; Zakaria, Zarifa; Lynch, Collin; Boyer, Kristy Elizabeth; Wiebe, Eric – ACM Transactions on Computing Education, 2020
The language and concepts used by curriculum designers are not always interpreted by children as designers intended. This can be problematic when researchers use self-reported survey instruments in concert with curricula, which often rely on the implicit belief that students' understanding aligns with their own. We report on our refinement of a…
Descriptors: Elementary School Students, Knowledge Level, Computer Science, Student Attitudes
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Dou, Remy; Bhutta, Karina; Ross, Monique; Kramer, Laird; Thamotharan, Vishodana – ACM Transactions on Computing Education, 2020
Like other STEM fields, computer science (CS) lacks representation of minorities, such as Black and Hispanic individuals, both in the number of bachelor's degrees obtained and the number of individuals in the CS workforce. Out-of-school CS programs are often designed with the intent to inspire young people to pursue careers in CS. Much of this…
Descriptors: Computer Science, Stereotypes, Student Interests, Middle School Students
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Mahadeo, Jonathan; Hazari, Zahra; Potvin, Geoff – ACM Transactions on Computing Education, 2020
This paper expands on knowledge of computing identity by building on what is known about prior identity models in science and mathematics education. The model theorizes three primary sub-constructs that contribute to the development of a computing identity: belief in one's performance/competence, interest, and recognition in computing. Drawing on…
Descriptors: Career Choice, Computer Science, Information Technology, College Students
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Ross, Monique; Hazari, Zahra; Sonnert, Gerhard; Sadler, Philip – ACM Transactions on Computing Education, 2020
Computer science (CS) has been identified as one of the fastest-growing professions, with demand for CS professionals far outpacing the supply of CS graduates. The necessity for a trained CS workforce has compelled industry and academia to evaluate strategies for broadening participation in CS. The current literature in CS education emphasizes the…
Descriptors: Computer Science, Career Choice, Females, Social Influences
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Kurhila, Jaakko; Vihavainen, Arto – ACM Transactions on Computing Education, 2015
The Finnish national school curriculum, effective from 2004, does not include any topics related to Computer Science (CS). To alleviate the problem that school students are not able to study CS-related topics, the Department of Computer Science at the University of Helsinki prepared a completely online course that is open to pupils and students in…
Descriptors: Foreign Countries, Online Courses, Computer Science, Computer Science Education
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Luse, Andy; Rursch, Julie A.; Jacobson, Doug – ACM Transactions on Computing Education, 2014
In the United States, the number of students entering into and completing degrees in science, technology, engineering, and mathematics (STEM) areas has declined significantly over the past decade. Although modest increases have been shown in enrollments in computer-related majors in the past 4 years, the prediction is that even in 3 to 4 years…
Descriptors: Social Theories, Social Cognition, Career Choice, Majors (Students)
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