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ACM Transactions on Computing…17
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Showing 1 to 15 of 17 results Save | Export
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Monika Mladenovic; Lucija Medak; Divna Krpan – ACM Transactions on Computing Education, 2025
Computer Science (CS) Unplugged activities are designed to engage students with CS concepts. It is an active learning approach combining physical interaction with visual representation. This research article investigates the impact of CS Unplugged on students' understanding of the bubble sort algorithm. Algorithm visualization, traditionally…
Descriptors: Computer Science Education, Learning Activities, Active Learning, Algorithms
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Colin Hennessy Elliott; Jessie Nixon; Alexandra Gendrau Chakarov; Jeffrey B. Bush; Michael J. Schneider; Mimi Recker – ACM Transactions on Computing Education, 2024
Objectives: Physical computing systems are increasingly being integrated into secondary school science and STEM instruction, yet little is known about how teachers, especially those with little background and experience in computing, help students during the inevitable debugging moments that arise. In this article, we describe a framework,…
Descriptors: Computer Science Education, Troubleshooting, Teaching Methods, Secondary School Students
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Tiffany Tseng; Matt J. Davidson; Luis Morales-Navarro; Jennifer King Chen; Victoria Delaney; Mark Leibowitz; Jazbo Beason; R. Benjamin Shapiro – ACM Transactions on Computing Education, 2024
Machine learning (ML) models are fundamentally shaped by data, and building inclusive ML systems requires significant considerations around how to design representative datasets. Yet, few novice-oriented ML modeling tools are designed to foster hands-on learning of dataset design practices, including how to design for data diversity and inspect…
Descriptors: Artificial Intelligence, Models, Data Processing, Design
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Brennan, Karen; Blum-Smith, Sarah; Peters, Laura; Kang, Jane – ACM Transactions on Computing Education, 2022
Student-directed projects--projects in which students have individual control over what they create and how to create it--are a promising practice for supporting the development of conceptual understanding and personal interest in K-12 computer science classrooms. In this article, we explore a central (and perhaps counterintuitive) design…
Descriptors: Elementary School Teachers, Secondary School Teachers, Cooperative Learning, Active Learning
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Hardin, Caroline D. – ACM Transactions on Computing Education, 2021
Hackathons, the time-bound collaborative project-based computer science competitions increasingly popular with computer science students, are one of the largest-scale innovations in computing education of the past decade. This research examined three hackathons and 46,500 surveys to find that educational benefits were unequal between genders in…
Descriptors: Gender Differences, Cooperative Learning, Active Learning, Student Projects
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Sunni H. Newton; Meltem Alemdar; Jessica Gale; Diley Hernandez; Doug Edwards; Mike Ryan; Mike Helms; Marion Usselman – ACM Transactions on Computing Education, 2023
Objectives: The goal of this paper is to introduce and describe a new introductory computer science course. Research results from the implementation of this curriculum will be presented to demonstrate the nature of teachers' experiences with the curriculum. Participants: Participants are teachers implementing the new curriculum at two schools in…
Descriptors: Teacher Attitudes, Computer Science Education, Introductory Courses, Curriculum Implementation
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Šablis, Aivars; Gonzalez-Huerta, Javier; Zabardast, Ehsan; Šmite, Darja – ACM Transactions on Computing Education, 2019
Global software engineering has changed the way software is developed today. To address the new challenges, many universities have launched specially tailored courses to train young professionals to work in globally distributed projects. However, a mere acknowledgment of the geographic, temporal, and cultural differences does not necessarily lead…
Descriptors: Toys, Teaching Methods, Learning Activities, Global Approach
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Saltz, Jeffrey S.; Heckman, Robert R. – ACM Transactions on Computing Education, 2018
This article reports on a sequential mixed-methods research study, which compared different approaches on how to guide students through a semester-long data science project. Four different methodologies, ranging from a traditional "just assign some intermediate milestones" to other more Agile methodologies, were first compared via a…
Descriptors: Cooperative Learning, Student Projects, Computer Science Education, Methods
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Isomöttönen, Ville; Daniels, Mats; Cajander, Åsa; Pears, Arnold; Mcdermott, Roger – ACM Transactions on Computing Education, 2019
Literature on global employability signifies "enabling" learning environments where students encounter ill-formed and open-ended problems and are required to adapt and be creative. Varying forms of "projects," co-located and distributed, have populated computing curricula for decades and are generally deemed an answer to this…
Descriptors: Employment Qualifications, Student Projects, Student Motivation, Computer Software
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Larraza-Mendiluze, Edurne; Garay-Vitoria, Nestor; Soraluze, Iratxe; Martín, José; Muguerza, Javier; Ruiz-Vazquez, Txelo – ACM Transactions on Computing Education, 2016
The computer input/output (I/O) subsystem and its functioning are very abstract concepts that are difficult for undergraduate freshmen to understand. However, it is important that freshmen assimilate these low-level concepts if they are going to be taught about the operating systems (OS) working over that architecture layer, or working directly…
Descriptors: Active Learning, Student Projects, Computer Science Education, College Freshmen
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Isomöttönen, Ville; Tirronen, Ville – ACM Transactions on Computing Education, 2017
This article reports on an action research project on improving a functional programming course by moving toward a practical and flexible study environment--flipped and blended classroom. Teaching the topic of functional programming was found to be troublesome using a traditional lectured course format. The need to increase students' amount of…
Descriptors: Blended Learning, Teaching Methods, Programming, Computer Science Education
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Kaila, Erkki; Kurvinen, Einari; Lokkila, Erno; Laakso, Mikko-Jussi – ACM Transactions on Computing Education, 2016
Educational technology offers several potential benefits for programming education. Still, to facilitate the technology properly, integration into a course must be carefully designed. In this article, we present a redesign of an object-oriented university-level programming course. In the redesign, a collaborative education tool was utilized to…
Descriptors: Curriculum Development, Programming, Computer Science Education, Active Learning
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McCartney, Robert; Boustedt, Jonas; Eckerdal, Anna; Sanders, Kate; Thomas, Lynda; Zander, Carol – ACM Transactions on Computing Education, 2016
In this article, we address the question of why computing students choose to learn computing topics on their own. A better understanding of why some students choose to learn on their own may help us to motivate other students to develop this important skill. In addition, it may help in curriculum design; if we need to leave some topics out of our…
Descriptors: Learning Motivation, Independent Study, Computer Science Education, Student Motivation
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Bailey Lee, Cynthia; Garcia, Saturnino; Porter, Leo – ACM Transactions on Computing Education, 2013
Peer Instruction (PI) is an active learning pedagogical technique. PI lectures present students with a series of multiple-choice questions, which they respond to both individually and in groups. PI has been widely successful in the physical sciences and, recently, has been successfully adopted by computer science instructors in lower-division,…
Descriptors: Computer Science Education, Advanced Courses, Active Learning, Statistical Analysis
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Velazquez-Iturbide, J. Angel – ACM Transactions on Computing Education, 2013
Greedy algorithms constitute an apparently simple algorithm design technique, but its learning goals are not simple to achieve.We present a didacticmethod aimed at promoting active learning of greedy algorithms. The method is focused on the concept of selection function, and is based on explicit learning goals. It mainly consists of an…
Descriptors: Mathematics, Experimental Teaching, Teaching Methods, Active Learning
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