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ACM Transactions on Computing…18
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Showing 1 to 15 of 18 results Save | Export
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Malmi, Lauri; Sheard, Judy; Kinnunen, Päivi; Simon; Sinclair, Jane – ACM Transactions on Computing Education, 2023
Use of theory within a field of research provides the foundation for designing effective research programs and establishing a deeper understanding of the results obtained. This, together with the emergence of domain-specific theory, is often taken as an indicator of the maturity of any research area. This article explores the development and…
Descriptors: Learning Theories, Computer Science Education, Learning Processes, Models
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Loksa, Dastyni; Margulieux, Lauren; Becker, Brett A.; Craig, Michelle; Denny, Paul; Pettit, Raymond; Prather, James – ACM Transactions on Computing Education, 2022
Metacognition and self-regulation are important skills for successful learning and have been discussed and researched extensively in the general education literature for several decades. More recently, there has been growing interest in understanding how metacognitive and self-regulatory skills contribute to student success in the context of…
Descriptors: Metacognition, Programming, Computer Science Education, Learning Processes
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Szabo, Claudia; Sheard, Judy – ACM Transactions on Computing Education, 2023
The use of established and discipline-specific theories within research and practice is an indication of the maturity of a discipline. With computing education research as a relatively young discipline, there has been recent interest in investigating theories that may prove foundational to work in this area, with discipline-specific theories and…
Descriptors: Learning Theories, Computer Science Education, Educational Research, Research and Development
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Tenenberg, Josh; Chinn, Donald – ACM Transactions on Computing Education, 2019
It is common to think of learning as the acquisition of knowledge by an individual learner. Starting a century ago, Lev Vygotsky developed a different perspective on learning, initiating a tradition of educational research whose momentum and influence continue to grow. One of Vygotsky's key principles is the "general genetic law of cultural…
Descriptors: Computer Science Education, Learning Theories, Cultural Influences, Social Theories
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Belland, Brian R.; Kim, Chanmin; Zhang, Anna Y.; Lee, Eunseo – ACM Transactions on Computing Education, 2023
This article reports the analysis of data from five different studies to identify predictors of preservice, early childhood teachers' views of (a) the nature of coding, (b) integration of coding into preschool classrooms, and (c) relation of coding to fields other than computer science (CS). Significant changes in views of coding were predicted by…
Descriptors: Predictor Variables, Preservice Teachers, Student Attitudes, Programming
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Bellino, Alessio; Herskovic, Valeria; Hund, Michael; Munoz-Gama, Jorge – ACM Transactions on Computing Education, 2021
A common belief among students is that computing is a boring subject that lacks a connection to the real world. The first class (one 80-minute session) in an introductory computer science course may be an appropriate instance to combat such a belief. Previous studies have used course-wide interventions, e.g., games and physical/tangible devices to…
Descriptors: Student Motivation, Computer Science Education, Programming, Introductory Courses
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Hundhausen, C. D.; Olivares, D. M.; Carter, A. S. – ACM Transactions on Computing Education, 2017
In recent years, learning process data have become increasingly easy to collect through computer-based learning environments. This has led to increased interest in the field of "learning analytics," which is concerned with leveraging learning process data in order to better understand, and ultimately to improve, teaching and learning. In…
Descriptors: Learning Analytics, Computer Science Education, Programming, Learning Processes
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Billingsley, William; Torbay, Rosemary; Fletcher, Peter R.; Thomas, Richard N.; Steel, Jim R. H.; Süß, Jörn Guy – ACM Transactions on Computing Education, 2019
One of the challenges of global software engineering courses is to bring the practices and experience of large geographically distributed teams into the local and time-limited environment of a classroom. Over the last 6 years, an on-campus studio course for software engineering has been developed at the University of Queensland (UQ) that places…
Descriptors: Computer Science Education, Universities, Undergraduate Students, Teaching Methods
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Erete, Sheena; Thomas, Karla; Nacu, Denise; Dickinson, Jessa; Thompson, Naomi; Pinkard, Nichole – ACM Transactions on Computing Education, 2021
Global protests and civil unrest in 2020 has renewed the world's interest in addressing injustice due to structural racism and oppression toward Black and Latinx people in all aspects of society, including computing. In this article, we argue that to address and repair the harm created by institutions, policies, and practices that have…
Descriptors: Social Justice, Inclusion, Computer Science Education, African American Students
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Bosnic, Ivana; Ciccozzi, Federico; Crnkovic, Ivica; Cavrak, Igor; Di Nitto, Elisabetta; Mirandola, Raffaela; Žagar, Mario – ACM Transactions on Computing Education, 2019
Teaching Distributed Software Development with real distributed settings is a challenging and rewarding task. Distributed courses are idiosyncratically more challenging than standard local courses. We have experienced this during our distributed course, which has been run for 14 consecutive years. In this article, we present and analyze the…
Descriptors: Computer Software, Computer Science Education, Active Learning, Student Projects
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Fiebrink, Rebecca – ACM Transactions on Computing Education, 2019
This article aims to lay a foundation for the research and practice of machine learning education for creative practitioners. It begins by arguing that it is important to teach machine learning to creative practitioners and to conduct research about this teaching, drawing on related work in creative machine learning, creative computing education,…
Descriptors: Artificial Intelligence, Man Machine Systems, Population Groups, Creativity
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Sorva, Juha – ACM Transactions on Computing Education, 2013
This article brings together, summarizes, and comments on several threads of research that have contributed to our understanding of the challenges that novice programmers face when learning about the runtime dynamics of programs and the role of the computer in program execution. More specifically, the review covers the literature on programming…
Descriptors: Computer Science Education, Programming, Introductory Courses, Misconceptions
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Hu, Helen H.; Shepherd, Tricia D. – ACM Transactions on Computing Education, 2013
POGIL has been successfully implemented in a scientific computing course to teach science students how to program in Python. Following POGIL guidelines, the authors have developed guided inquiry activities that lead student teams to discover and understand programming concepts. With each iteration of the scientific computing course, the authors…
Descriptors: Teaching Methods, Computer Science Education, Programming Languages, Science Instruction
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Brusilovsky, Pete; Sosnovsky, Sergey; Yudelson, Michael V.; Lee, Danielle H.; Zadorozhny, Vladimir; Zhou, Xin – ACM Transactions on Computing Education, 2010
Rich, interactive eLearning tools receive a lot of attention nowadays from both practitioners and researchers. However, broader dissemination of these tools is hindered by the technical difficulties of their integration into existing platforms. This article explores the technical and conceptual problems of using several interactive educational…
Descriptors: Learning Activities, Courses, Classroom Research, Computer Science Education
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O'Grady, Michael J. – ACM Transactions on Computing Education, 2012
Computer Science (CS) is a relatively new disciple and how best to introduce it to new students remains an open question. Likewise, the identification of appropriate instructional strategies for the diverse topics that constitute the average curriculum remains open to debate. One approach considered by a number of practitioners in CS education…
Descriptors: Educational Strategies, Problem Based Learning, Teaching Methods, Computer Science
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