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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
Hull, Alison; du Boulay, Benedict – Computer Science Education, 2015
Motivation and metacognition are strongly intertwined, with learners high in self-efficacy more likely to use a variety of self-regulatory learning strategies, as well as to persist longer on challenging tasks. The aim of the research was to improve the learner's focus on the process and experience of problem-solving while using an Intelligent…
Descriptors: Motivation, Metacognition, Feedback (Response), Intelligent Tutoring Systems
Warwick, Jon – PRIMUS, 2010
This article describes the initial development of a qualitative system dynamics model as part of the periodic review of a mathematics course. In an effort to enhance the learning experience of undergraduate computing students (for whom the course is a compulsory part of their curriculum) a small sample of students were interviewed regarding their…
Descriptors: Learning Experience, Teaching Methods, Undergraduate Students, Mathematics Instruction
Lallie, Harjinder Singh; Lawson, Phillip; Day, David J. – Journal of Information Technology Education: Innovations in Practice, 2011
Identifying academic misdemeanours and actual applied effort in student assessments involving practical work can be problematic. For instance, it can be difficult to assess the actual effort that a student applied, the sequence and method applied, and whether there was any form of collusion or collaboration. In this paper we propose a system of…
Descriptors: Foreign Countries, Evidence, Computer Software, Academic Achievement
Jadud, Matthew C. – Computer Science Education, 2005
Syntactically correct code does not fall from the sky; the process that leads to a student's first executable program is not well understood. At the University of Kent we have begun to explore the "compilation behaviours" of novice programmers, or the behaviours that students exhibit while authoring code; in our initial study, we have…
Descriptors: Introductory Courses, Programming, Student Behavior, Educational Technology
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers