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Showing 91 to 105 of 170 results Save | Export
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Lagus, Jarkko; Longi, Krista; Klami, Arto; Hellas, Arto – ACM Transactions on Computing Education, 2018
The computing education research literature contains a wide variety of methods that can be used to identify students who are either at risk of failing their studies or who could benefit from additional challenges. Many of these are based on machine-learning models that learn to make predictions based on previously observed data. However, in…
Descriptors: Computer Science Education, Transfer of Training, Programming, Educational Objectives
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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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Crues, R. Wes; Henricks, Genevieve M.; Perry, Michelle; Bhat, Suma; Anderson, Carolyn J.; Shaik, Najmuddin; Angrave, Lawrence – ACM Transactions on Computing Education, 2018
Massive Open Online Courses (MOOCs)--in part, because of their free, flexible, and relatively anonymous nature--may provide a means for helping overcome the large gender gap in Computer Science (CS). This study examines why women and men chose to enroll in a CS MOOC and how this is related to successful behavior in the course by (a) using k-means…
Descriptors: Online Courses, Computer Science Education, Persistence, Gender Differences
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Burgiel, Heidi; Sadler, Philip M.; Sonnert, Gerhard – ACM Transactions on Computing Education, 2020
The number of computer science (CS) courses has been dramatically expanding in U.S. high schools (HS). In comparison with well-established courses in mathematics and science, little is known about how the decisions made by HS CS teachers regarding how and what to teach impact student performance later in introductory college CS courses. Drawing on…
Descriptors: Computer Science Education, High School Students, College Students, High School Teachers
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Ahadi, Alireza; Hellas, Arto; Lister, Raymond – ACM Transactions on Computing Education, 2017
We describe a method for analyzing student data from online programming exercises. Our approach uses contingency tables that combine whether or not a student answered an online exercise correctly with the number of attempts that the student made on that exercise. We use this method to explore the relationship between student performance on online…
Descriptors: Data Analysis, Online Courses, Computer Science Education, Programming
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Domínguez, César; Jaime, Arturo; Heras, Jónathan; García-Izquierdo, Francisco J. – ACM Transactions on Computing Education, 2019
This study analyzes the impact of adding a review exercises module to an online tool used in a software engineering degree program. The objective of the module is to promote students' self-learning effort to improve their performance. We also intend to determine if this new feature has any effect on the amount of code copies detected in lab…
Descriptors: Teaching Methods, Computer Software, Engineering Education, Computer Science Education
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Clarke-Midura, Jody; Sun, Chongning; Pantic, Katarina; Poole, Frederick J.; Allan, Vicki – ACM Transactions on Computing Education, 2019
Our work is situated in research on Computer Science (CS) learning in informal learning environments and literature on the factors that influence girls to enter CS. In this article, we outline design choices around the creation of a summer programming camp for middle school youth. In addition, we describe a near-peer mentoring model we used that…
Descriptors: Computer Science Education, Educational Environment, Females, Middle School Students
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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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Lakanen, Antti-Jussi; Kärkkäinen, Tommi – ACM Transactions on Computing Education, 2019
Short-term outreach interventions are conducted to raise young students' awareness of the computer science (CS) field. Typically, these interventions are targeted at K--12 students, attempting to encourage them to study CS in higher education. This study is based on a series of extra-curricular outreach events that introduced students to the…
Descriptors: Program Effectiveness, Programming, Outreach Programs, Intervention
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Enstrom, Emma; Kann, Viggo – ACM Transactions on Computing Education, 2017
When compared to earlier programming and data structure experiences that our students might have, the perspective changes on computers and programming when introducing theoretical computer science into the picture. Underlying computational models need to be addressed, and mathematical tools employed, to understand the quality criteria of…
Descriptors: Difficulty Level, Computer Science Education, Undergraduate Students, Programming
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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
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Cosma, Georgina; Joy, Mike; Sinclair, Jane; Andreou, Margarita; Zhang, Dongyong; Cook, Beverley; Boyatt, Russell – ACM Transactions on Computing Education, 2017
Perspectives of students on what constitutes source-code plagiarism may differ based on their educational background. Surveys have been conducted with home students undertaking computing and joint computing subject degrees at higher education institutions throughout the UK, China, and South Cyprus, and a total of 984 responses have been…
Descriptors: Foreign Countries, College Students, Plagiarism, Student Attitudes
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Fields, Deborah A.; Kafai, Yasmin B.; Giang, Michael T. – ACM Transactions on Computing Education, 2017
Most research in primary and secondary computing education has focused on understanding learners within formal classroom communities, leaving aside the growing number of promising informal online programming communities where young users contribute, comment, and collaborate on programs to facilitate learning. In this article, we examined trends in…
Descriptors: Programming, Communities of Practice, Youth, Social Networks
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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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Theodoropoulos, Anastasios; Antoniou, Angeliki; Lepouras, George – ACM Transactions on Computing Education, 2017
Is there any relationship between students' cognitive style and the ability to learn programming through serious games? The aim of this work is to assess the learning effectiveness and motivational appeal of digital games for learning basic programming concepts, involving secondary education students. For this purpose, the Code.org®'s activity…
Descriptors: Foreign Countries, Cognitive Style, Computer Science Education, Programming
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