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Daniele Traversaro; Giorgio Delzanno; Giovanna Guerrini – Informatics in Education, 2024
Concurrency is a complex to learn topic that is becoming more and more relevant, such that many undergraduate Computer Science curricula are introducing it in introductory programming courses. This paper investigates the combined use of Sonic Pi and Team-Based Learning to mitigate the difficulties in early exposure to concurrency. Sonic Pi, a…
Descriptors: Misconceptions, Programming Languages, Computer Science Education, Undergraduate Students
Asfour, Ali; Zain, Samer; Salleh, Norsaremah; Grundy, John – International Journal of Technology in Education and Science, 2019
Agile development methods have been proposed as a natural fit for mobile app development contexts. Despite many studies addressing the adoption of agile methods for traditional web and desktop applications, there is a lack of studies of how mobile app development teams can adopt agile methods and the challenges they are facing. Our study explores…
Descriptors: Computer Software, Case Studies, Guidance, Quality Assurance
Vargas, Santiago; Zamirpour, Siavash; Menon, Shreya; Rothman, Arielle; Häse, Florian; Tamayo-Mendoza, Teresa; Romero, Jonathan; Sim, Sukin; Menke, Tim; Aspuru-Guzik, Alán – Journal of Chemical Education, 2020
The increasing integration of software and automation in modern chemical laboratories prompts special emphasis on two important skills in the chemistry classroom. First, students need to learn the technical skills involved in modern scientific computing and automation. Second, applying these techniques in practice requires effective collaboration…
Descriptors: Teamwork, Computer Uses in Education, Cooperative Learning, Automation
Srour, F. Jordan; Karkoulian, Silva – International Journal of Social Research Methodology, 2022
The literature provides multiple measures of diversity along a single demographic dimension, but when it comes to studying the interaction of multiple diversity types (e.g. age, gender, and race), the field of useable measures diminishes. We present the use of decision trees as a machine learning technique to automatically identify the…
Descriptors: Diversity, Decision Making, Artificial Intelligence, Correlation
Fronza, Ilenia; Corral, Luis; Pahl, Claus – Journal of Information Technology Education: Research, 2020
Aim/Purpose: This work aims to introduce and evaluate an instructional strategy that aids end-users with developing their software products during intensive project-based events. Background: End-users produce software in the labor market, and one of the challenges for End-User Software Engineering (EUSE) is the need to create functional software…
Descriptors: Teaching Methods, Computer Software, Computer Science Education, Student Projects
Tangney, Brendan; Oldham, Elizabeth; Conneely, Claire; Barrett, Stephen; Lawlor, John – IEEE Transactions on Education, 2010
This paper describes a model for computer programming outreach workshops aimed at second-level students (ages 15-16). Participants engage in a series of programming activities based on the Scratch visual programming language, and a very strong group-based pedagogy is followed. Participants are not required to have any prior programming experience.…
Descriptors: Foreign Countries, Computer Software, Programming Languages, Computer Science Education