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Webb, Kevin C.; Zingaro, Daniel; Liao, Soohyun Nam; Taylor, Cynthia; Lee, Cynthia; Clancy, Michael; Porter, Leo – ACM Transactions on Computing Education, 2022
A Concept Inventory (CI) is an assessment to measure student conceptual understanding of a particular topic. This article presents the results of a CI for basic data structures (BDSI) that has been previously shown to have strong evidence for validity. The goal of this work is to help researchers or instructors who administer the BDSI in their own…
Descriptors: Measures (Individuals), Concept Formation, Computer Science Education, Test Results
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Lorås, Madeleine; Sindre, Guttorm; Trætteberg, Hallvard; Aalberg, Trond – ACM Transactions on Computing Education, 2022
As the field of computing education grows and matures, it has become essential to unite computing education and higher education research. Educational research has highlighted that how students study is crucial to their learning progress, and study behaviors have been found to play an important role in students' academic success. This article…
Descriptors: Study Habits, Computer Science Education, Higher Education, College Students
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Vesin, Boban; Mangaroska, Katerina; Akhuseyinoglu, Kamil; Giannakos, Michail – ACM Transactions on Computing Education, 2022
Online learning systems should support students preparedness for professional practice by equipping them with the necessary skills while keeping them engaged and active. In that regard, the development of online learning systems that support students' development and engagement with programming is a challenging process. Early career computer…
Descriptors: Adaptive Testing, Online Courses, Programming, Computer Science Education
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Blumenthal, Richard – ACM Transactions on Computing Education, 2022
In May and June 2021, the author conducted a survey of the computing and mathematical graduation requirements of 500 Bachelor of Science in Computer Science (BSCS) programs in the U.S. to determine alignment among these requirements and those recommended by ACM/IEEE-CS's Computer Science Curricula 2013 guidelines and ABET's Criteria for…
Descriptors: Alignment (Education), Computer Science Education, Curriculum Development, Accreditation (Institutions)
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Rodrigues, Luiz; Pereira, Filipe; Toda, Armando; Palomino, Paula; Oliveira, Wilk; Pessoa, Marcela; Carvalho, Leandro; Oliveira, David; Oliveira, Elaine; Cristea, Alexandra; Isotani, Seiji – ACM Transactions on Computing Education, 2022
Students face several difficulties in introductory programming courses (CS1), often leading to high dropout rates, student demotivation, and lack of interest. The literature has indicated that the adequate use of gamification might improve learning in several domains, including CS1. However, the understanding of which (and how) factors influence…
Descriptors: Gamification, Programming, Computer Science Education, Introductory Courses
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Atiq, Zahra; Loui, Michael C. – ACM Transactions on Computing Education, 2022
In introductory computer programming courses, students experience a range of emotions. Students often experience anxiety and frustration when they encounter difficulties in writing programs. Continued frustration can discourage students from pursuing engineering and computing careers. Although prior research has shown how emotions affect students'…
Descriptors: Psychological Patterns, College Freshmen, Engineering Education, Programming
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Paiva, José Carlos; Leal, José Paulo; Figueira, Álvaro – ACM Transactions on Computing Education, 2022
Practical programming competencies are critical to the success in computer science (CS) education and go-to-market of fresh graduates. Acquiring the required level of skills is a long journey of discovery, trial and error, and optimization seeking through a broad range of programming activities that learners must perform themselves. It is not…
Descriptors: Automation, Computer Assisted Testing, Student Evaluation, Computer Science Education
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Tena-Meza, Stephanie; Suzara, Miroslav; Alvero, Aj – ACM Transactions on Computing Education, 2022
We use an autoethnographic case study of a Latinx high school student from a rural, agricultural community in California to highlight how AI is learned outside classrooms and how her personal background influenced her social-justice-oriented applications of AI technologies. Applying the concept of learning pathways from the learning sciences, we…
Descriptors: Rural Youth, Hispanic American Students, High School Students, Artificial Intelligence
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Roldan, Wendy; Lee, Kung Jin; Nguyen, Kevin; Berhe, Lia; Yip, Jason – ACM Transactions on Computing Education, 2022
Large-scale disparities in computing exist for many youth of color. Learning in informal settings can increase the participation of youth in computing; however, computing education programs have typically been developed by adults for youth. We argue computing education can contribute toward decolonization by directly involving youth from…
Descriptors: Educational Change, Computer Science Education, Electronic Learning, Design
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Karnalim, Oscar; Simon; Chivers, William; Panca, Billy Susanto – ACM Transactions on Computing Education, 2022
To help address programming plagiarism and collusion, students should be informed about acceptable practices and about program similarity, both coincidental and non-coincidental. However, current approaches are usually manual, brief, and delivered well before students are in a situation where they might commit academic misconduct. This article…
Descriptors: Computer Science Education, Programming, Plagiarism, Formative Evaluation
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Israel, Maya; Kester, Brittany; Williams, Jessica J.; Ray, Meg J. – ACM Transactions on Computing Education, 2022
Through a mixed-methods approach that utilized teacher surveys and a focus group with computer science (CS) instructional coaches, this study examined elementary teachers' confidence in meeting the needs of students with disabilities, the extent to which the teachers could use the Universal Design for Learning (UDL) framework in CS education, and…
Descriptors: Equal Education, Inclusion, Access to Education, Elementary Education
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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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Lee, Clifford H.; Gobir, Nimah; Gurn, Alex; Soep, Elisabeth – ACM Transactions on Computing Education, 2022
Over the past two decades, innovations powered by artificial intelligence (AI) have extended into nearly all facets of human experience. Our ethnographic research suggests that while young people sense they can't "trust" AI, many are not sure how it works or how much control they have over its growing role in their lives. In this study,…
Descriptors: Artificial Intelligence, Ethics, STEM Education, Minority Group Students
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Bolloju, Narasimha – ACM Transactions on Computing Education, 2022
Domain models in software engineering--often represented as class diagrams--depict relevant classes in a given problem domain along with necessary relationships among those classes. These models are important because they establish links between the requirements of a given system under development and the subsequent phases of the systems…
Descriptors: Models, Computer Software, Student Attitudes, Cooperation
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