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Mike Richards; Kevin Waugh; Mark A Slaymaker; Marian Petre; John Woodthorpe; Daniel Gooch – ACM Transactions on Computing Education, 2024
Cheating has been a long-standing issue in university assessments. However, the release of ChatGPT and other free-to-use generative AI tools has provided a new and distinct method for cheating. Students can run many assessment questions through the tool and generate a superficially compelling answer, which may or may not be accurate. We ran a…
Descriptors: Computer Science Education, Artificial Intelligence, Cheating, Student Evaluation
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Abreu, Pedro Henriques; Silva, Daniel Castro; Gomes, Anabela – ACM Transactions on Computing Education, 2019
Low performance of nontechnical engineering students in programming courses is a problem that remains unsolved. Over the years, many authors have tried to identify the multiple causes for that failure, but there is unanimity on the fact that motivation is a key factor for the acquisition of knowledge by students. To better understand motivation, a…
Descriptors: Programming, Engineering Education, Student Motivation, Multiple Choice Tests
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Kunkle, Wanda M.; Allen, Robert B. – ACM Transactions on Computing Education, 2016
Learning to program, especially in the object-oriented paradigm, is a difficult undertaking for many students. As a result, computing educators have tried a variety of instructional methods to assist beginning programmers. These include developing approaches geared specifically toward novices and experimenting with different introductory…
Descriptors: Teaching Methods, Programming, Programming Languages, Computer Science Education
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Taylor, Blair; Kaza, Siddharth – ACM Transactions on Computing Education, 2016
Despite the critical societal importance of computer security, security is not well integrated into the undergraduate computing curriculum. Security classes and tracks treat security issues as separable topics as opposed to fundamental issues that pervade all aspects of software development. Recently, there has been an increasing focus on security…
Descriptors: Coding, Introductory Courses, Computer Science Education, Programming
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Allinjawi, Arwa A.; Al-Nuaim, Hana A.; Krause, Paul – ACM Transactions on Computing Education, 2014
Students often face difficulties while learning object-oriented programming (OOP) concepts. Many papers have presented various assessment methods for diagnosing learning problems to improve the teaching of programming in computer science (CS) higher education. The research presented in this article illustrates that although max-min composition is…
Descriptors: Programming, Computer Science Education, Student Problems, Higher Education
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Borstler, Jurgen; Hilburn, Thomas B. – ACM Transactions on Computing Education, 2016
Team projects are a way to expose students to conflicting project objectives, and "[t]here should be a strong real-world element...to ensure that the experience is realistic" [ACM/IEEE-CS 2015b]. Team projects provide an opportunity for students to put their education into practice and prepare them for their professional careers. The aim…
Descriptors: Teamwork, Computer Science Education, Instructional Design, Psychological Patterns
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Benkrid, Khaled; Clayton, Thomas – ACM Transactions on Computing Education, 2012
This article presents the design and implementation of a complete review of undergraduate digital hardware design teaching in the School of Engineering at the University of Edinburgh. Four guiding principles have been used in this exercise: learning-outcome driven teaching, deep learning, affordability, and flexibility. This has identified…
Descriptors: Foreign Countries, Teaching Methods, Multimedia Instruction, Feedback (Response)
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d'Amore, Roberto – ACM Transactions on Computing Education, 2010
This article proposes a VHDL language course that establishes a strong correlation between the language statements and their use in circuit synthesis. Two course modules are described: a basic module that contains the essential concepts of the language, sufficient for students to describe medium complexity circuits, followed by a second module…
Descriptors: Feedback (Response), Units of Study, Courses, Laboratories