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Samer Hanna – International Journal of Learning Technology, 2024
It is important that software testing courses at universities provide students with testing skills that are close to the skills needed by industry. To investigate if these courses do accomplish this role, this research provides comparison and empirical analysis of the topics provided by 80 software testing courses in nine countries around the…
Descriptors: Computer Software, Job Skills, Occupational Information, Education Work Relationship
Heinsen Egan, Matthew; McDonald, Chris – Computer Science Education, 2021
Background and Context: Students learning the C programming language struggle to debug, and to understand the runtime behaviour of, their programs. Objective: We examine a tool that combines several novice-focused error detection, program visualization, and debugging techniques, to investigate which features students use in real study sessions,…
Descriptors: Computer Science Education, Programming Languages, Programming, Novices
Maurizio Costabile; Connie Caruso; Chris Della Vedova; Sheree Bailey; Layla Mahdi – Advances in Physiology Education, 2025
Science, technology, engineering, and mathematics (STEM) students are typically taught content delivered didactically and closely aligned with the laboratory demonstration of concepts, which facilitates the development of experimental skills. Because of the volume of content delivered across multiple courses, student cognitive abilities can be…
Descriptors: Computer Simulation, Computer Software, Learning Processes, Laboratory Training
Caroline Jones; Jesse Tran; Eleanor Jorgensen; Romi Hill; Patricia Ellis; Jane Simpson; Felicity Meakins; Ben Foley; Marcel Reverter-Rambaldi; Gari Tudor-Smith; Paul Williams; Clair Hill; Mark Richards – Language Documentation & Conservation, 2024
Dictionaries for under-resourced languages are, like other dictionaries, traditionally in hard-copy form. Electronic online formats can improve access to dictionaries for under-resourced languages. To make it easier to create online dictionaries with linked sound and image files, starting from a Toolbox file or similar backslash-formatted…
Descriptors: Foreign Countries, Computer Software, Programming, Dictionaries
Diana Kirk; Andrew Luxton-Reilly; Ewan Tempero – ACM Transactions on Computing Education, 2025
Objectives: Code style is an important aspect of text-based programming because programs written with good style are considered easier to understand and change and so improve the maintainability of the delivered software product. However teaching code style is complicated by the existence of many style guides and standards that contain…
Descriptors: Computer Science Education, Programming, Computer Software, Teaching Methods
Tim Erickson – Australian Mathematics Education Journal, 2023
At the school level statistics begins with exploratory data analysis, or EDA. Statistical learning goes on to include statistical inference, which will be discussed in the second part of this article. In this article, the author will talk about EDA and CODAP. EDA can be thought of as looking for patterns in data using graphs and simple statistics…
Descriptors: Statistics Education, Data Analysis, Mathematical Concepts, Foreign Countries
Sarah Prestridge; Kym Fry; Eun-Ji Amy Kim – Technology, Pedagogy and Education, 2025
The broad approach to using Generative AI in K-12 schooling focuses on identifying risks and productivity gains rather than the more complex issues of transformational change. As a response, this study examined how school leaders considered Gen AI transformation within their disciplines. Ten subject leaders were interviewed about their pedagogical…
Descriptors: Teacher Attitudes, Secondary School Teachers, Artificial Intelligence, Computer Software
Kevin Larkin; Ilyse Resnick; Thomas Lowrie – Mathematical Thinking and Learning: An International Journal, 2024
Patterns are a fundamental component of mathematics, and the patterning ability of young children has been well researched; however, this research has largely been conducted with relatively small cohorts (±70) and in an interventionist way (in laboratory settings or with researchers directly intervening in educational contexts). The current study…
Descriptors: Foreign Countries, Preschool Children, Pattern Recognition, Mathematics Education
Rebecca J. Collie; Andrew J. Martin – Social Psychology of Education: An International Journal, 2025
Educational bodies are weighing up the extent to which generative artificial intelligence (genAI) is embedded within educational settings. Although researchers have examined how (generative) AI can be used for effective teaching and learning, less is known about how genAI was being integrated within teachers' practice shortly after the wide-scale…
Descriptors: Teaching Methods, Learning Processes, Artificial Intelligence, Computer Software
Kluge, Murielle G.; Maltby, Steven; Kuhne, Caroline; Evans, Darrell J. R.; Walker, Frederick Rohan – Education and Information Technologies, 2023
The use of extended reality (XR) technology in education offers many advantages for transferring knowledge and practical skills training at the higher education level. As a result, many Universities over the past 5 + years have undertaken pilot programs to both develop XR content and assess how to best implement it within existing teaching and…
Descriptors: Foreign Countries, Computer Simulation, Instructional Design, Computer Software
Tim Erickson – Australian Mathematics Education Journal, 2023
This is the first of four columns by Tim Erikson which introduces us to the Common Online Data Analysis Platform (CODAP). CODAP is a free, web-based software tool that your students can use for many types of tasks. This first column shows how CODAP can be used for mathematical modelling and where it might fit with the "Australian Curriculum:…
Descriptors: Mathematics Instruction, Teaching Methods, Computer Software, Data Analysis
Deho, Oscar Blessed; Zhan, Chen; Li, Jiuyong; Liu, Jixue; Liu, Lin; Duy Le, Thuc – British Journal of Educational Technology, 2022
With the widespread use of learning analytics (LA), ethical concerns about fairness have been raised. Research shows that LA models may be biased against students of certain demographic subgroups. Although fairness has gained significant attention in the broader machine learning (ML) community in the last decade, it is only recently that attention…
Descriptors: Ethics, Learning Analytics, Social Bias, Computer Software
Costello, Eamon; Johnston, Keith; Wade, Vincent – Interactive Learning Environments, 2023
This research investigated how the bug tracker database of the Virtual Learning Environment (VLE) Moodle is developed as an application of crowd work. The bug tracker is used by software developers, who write and maintain Moodle's code, but also by a wider public world of ordinary Moodle users who can report bugs. Despite many studies of the…
Descriptors: Electronic Learning, Educational Technology, Computer Software, Cooperation
Geoffrey Currie; Josie Currie; Sam Anderson; Johnathan Hewis – Health Education Journal, 2024
Introduction: In Australia, 54.3% of medical students are women yet they remain under-represented in stereotypical perspectives of medicine. While potentially transformative, generative artificial intelligence (genAI) has the potential for errors, misrepresentations and bias. GenAI text-to-image production could reinforce gender biases making it…
Descriptors: Gender Bias, Artificial Intelligence, Computer Software, Medical Education
Scott Cameron; Lynda Ball; Vicki Steinle – Mathematics Education Research Journal, 2024
In Victoria, Australia, senior secondary mathematics students are expected to use technology and thus need to make decisions about using pen-and-paper (P&P) or technology when solving mathematics problems. The predominant technology is a Computer Algebra System (CAS). This study investigated the beliefs about CAS held by twelve Year 11…
Descriptors: Foreign Countries, Secondary School Students, Mathematics Education, Technology Uses in Education