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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
Michaelis, Joseph E.; Weintrop, David – ACM Transactions on Computing Education, 2022
Computing is rapidly becoming a critical literacy for succeeding in an increasingly technological world. While the proliferation of programs dedicated to broadening participation in computing increases access, computing education research can benefit from more directly drawing on current interest development theory to improve interventions that…
Descriptors: Computer Science Education, Student Interests, Curriculum Design, Intervention
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
Rafi Santo; Aman Yadav; David Phelps – ACM Transactions on Computing Education, 2024
Those working toward equitable K-12 computing education in the United States have always had their work cut out for them: understanding how best to teach, developing robust curricula, designing novel tools, building teacher capacity, and supporting systemic change in schools to bring equitable computing education to young people. Collectively,…
Descriptors: Computer Science Education, Elementary Secondary Education, Public Education, Teaching Methods
Tedre, Matti; Pajunen, John – ACM Transactions on Computing Education, 2023
A rich body of empirically grounded results and a solid theory base have often been viewed as signs of a mature discipline. Many disciplines have frequently debated what they should accept as legitimate kinds of theories, the proper roles of theory, and appropriate reference disciplines. Computing education research (CER) in particular has seen a…
Descriptors: Educational Theories, Computer Science Education, Educational Research, Educational Philosophy
Hanli Geyser – ACM Transactions on Computing Education, 2024
Like digital technologies themselves, programming education is embedded in the colonial matrix of power, and access to programming knowledge demands immersion in the epistemologies of the Global North. While there is a growing body of work exploring ways to decolonise programming education, far more needs to be done. Current research focuses on…
Descriptors: Computer Science Education, Decolonization, Programming, Power Structure
Counter-Hegemonic Computing: Toward Computer Science Education for Value Generation and Emancipation
Eglash, Ron; Bennett, Audrey; Cooke, Laquana; Babbitt, William; Lachney, Michael – ACM Transactions on Computing Education, 2021
Students' lives, both in and out of school, are full of different forms of value. Wealthy students enjoy value in the form of financial capital; their fit to hegemonic social practices; excellent health care and so on. Low-income students, especially those from African American, Native American, and Latinx communities, often lack access to those…
Descriptors: Computer Science Education, African American Community, Cultural Influences, Community Development
Kao, Yvonne; Matlen, Bryan; Weintrop, David – ACM Transactions on Computing Education, 2022
The 1980s and 1990s saw a robust connection between computer science education and cognitive psychology as researchers worked to understand how students learn to program. More recently, academic disciplines such as science and engineering have begun drawing on cognitive psychology research and theories of learning to create instructional materials…
Descriptors: Computer Science Education, Cognitive Psychology, Transfer of Training, Programming
Crawford, Chris S.; Gilbert, Juan E. – ACM Transactions on Computing Education, 2019
Brain-Computer Interface (BCI) hardware is becoming more affordable and accessible. However, there is limited work investigating ways to design software that broadens participation with BCI technology. In this article, we present a block-based programming environment designed to assist novice programmers with creating BCI applications. We also…
Descriptors: Barriers, Computer Software, Programming, Information Technology
Fronza, Ilenia; El Ioini, Nabil; Corral, Luis – ACM Transactions on Computing Education, 2017
Computational Thinking (CT) has been recognized as one of the fundamental skills that all graduates should acquire. For this reason, motivational concerns need to be addressed at an early age of a child, and reaching students who do not consider themselves candidates for science, technology, engineering, and mathematics disciplines is important as…
Descriptors: Teaching Methods, Computer Software, Thinking Skills, Computer Science Education
Braught, Grant; MacCormick, John; Bowring, James; Burke, Quinn; Cutler, Barbara; Goldschmidt, David; Krishnamoorthy, Mukkai; Turner, Wesley; Huss-Lederman, Steven; Mackellar, Bonnie; Tucker, Allen – ACM Transactions on Computing Education, 2018
Many computer science programs have capstone experiences or project courses that allow students to integrate knowledge from the full breadth of their major. Such capstone projects may be student-designed, instructor-designed, designed in conjunction with outside companies, or integrated with ongoing free and open source (FOSS) projects. The…
Descriptors: Computer Science Education, Open Source Technology, Computer Software, Social Values
Drachova, Svetlana V.; Hallstrom, Jason O.; Hollingsworth, Joseph E.; Krone, Joan; Pak, Rich; Sitaraman, Murali – ACM Transactions on Computing Education, 2015
Undergraduate computer science students need to learn analytical reasoning skills to develop high-quality software and to understand why the software they develop works as specified. To accomplish this central educational objective, this article describes a systematic process of introducing reasoning skills into the curriculum and assessing how…
Descriptors: Undergraduate Students, Computer Science Education, Logical Thinking, Thinking Skills
Mitra, Sandeep – ACM Transactions on Computing Education, 2014
This article presents the use of a model-centric approach to facilitate software development projects conforming to the three-tier architecture in undergraduate software engineering courses. Many instructors intend that such projects create software applications for use by real-world customers. While it is important that the first version of these…
Descriptors: Computer Science Education, Computer Software, Models, Undergraduate Students
Gestwicki, Paul; McNely, Brian – ACM Transactions on Computing Education, 2016
We define and describe the academic studio model for interdisciplinary, undergraduate, project-oriented education. This model brings faculty, students, and community partners together to investigate an openended academic question, and their collaboration yields an original product that represents their inquiry. The academic studio integrates agile…
Descriptors: Interdisciplinary Approach, Student Projects, Undergraduate Students, Teaching Methods
Ott, Claudia; Robins, Anthony; Shephard, Kerry – ACM Transactions on Computing Education, 2016
Learning the first programming language is challenging for many students. High failure rates and bimodally distributed grades lead to a pedagogical interest in supporting students in first-year programming courses (CS1). In higher education, the important role of feedback for guiding the learning process and improving the learning outcome is…
Descriptors: Feedback (Response), Programming, Computer Science Education, Teaching Methods