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Andrew Millam; Christine Bakke – Journal of Information Technology Education: Innovations in Practice, 2024
Aim/Purpose: This paper is part of a multi-case study that aims to test whether generative AI makes an effective coding assistant. Particularly, this work evaluates the ability of two AI chatbots (ChatGPT and Bing Chat) to generate concise computer code, considers ethical issues related to generative AI, and offers suggestions for how to improve…
Descriptors: Coding, Artificial Intelligence, Natural Language Processing, Computer Software
Georgia M. Kapitsaki – IEEE Transactions on Education, 2024
Contribution: Reporting of students' view on the use of preparatory sprint and virtual meetings, as well as on the workload effort in combination with coding artifacts in a Scrum-variant project-based course. Background: Scrum has been adopted to a large extent in Software Engineering (SE) courses. Relevant aspects have been examined in the…
Descriptors: College Faculty, College Students, Computer Software, Programming
Hebda, Maryann R. – Gifted Child Today, 2023
As technologically gifted students apply their abilities to computer science, they naturally flow through the talent development stages of potential, competency, and expertise. Processes that have always been important for gifted students to learn as they develop potential are embedded in learning code, which engages the beginning programmer in…
Descriptors: Talent Development, Technology Uses in Education, Technological Literacy, Coding
Daleiden, Patrick; Stefik, Andreas M.; Uesbeck, Phillip Merlin – ACM Transactions on Computing Education, 2020
Coprocessor architectures in High Performance Computing are prevalent in today's scientific computing clusters and require specialized knowledge for proper utilization. Various alternative paradigms for parallel and offload computation exist, but little is known about the human factors impacts of using the different paradigms. With computer…
Descriptors: College Students, Computer Science Education, Scientific Concepts, Computation
Jennifer Tsan – ProQuest LLC, 2020
Collaborative learning has long been investigated for its benefits to learners. Prior research indicates that collaboration may help students develop more sophisticated arguments and learn more effectively. While a great deal of research has been completed on how elementary students collaborate, there has been little research on how they…
Descriptors: Cooperative Learning, Elementary School Students, Computer Science Education, Problem Solving
Faja, Silvana – Information Systems Education Journal, 2014
This study investigates the effectiveness of pair programming on student learning and satisfaction in introductory programming courses. Pair programming, used in the industry as a practice of an agile development method, can be adopted in classroom settings to encourage peer learning, increase students' social skills, and enhance student…
Descriptors: Introductory Courses, Programming, Industry, Interpersonal Competence
Nunes, Miguel Baptista, Ed.; McPherson, Maggie, Ed. – International Association for Development of the Information Society, 2016
These proceedings contain the papers of the International Conference e-Learning 2016, which was organised by the International Association for Development of the Information Society, 1-3 July, 2016. This conference is part of the Multi Conference on Computer Science and Information Systems 2016, 1-4 July. The e-Learning (EL) 2016 conference aims…
Descriptors: Professional Associations, Conferences (Gatherings), Electronic Learning, Computer Science Education
Berenson, Sarah B.; Slaten, Kelli M.; Williams, Laurie; Ho, Chih-Wei – Journal on Educational Resources in Computing, 2004
Those science, mathematics, and engineering faculty who are serious about making the education they offer as available to their daughters as to their sons are, we posit, facing the prospect of dismantling a large part of its traditional pedagogical structure, along with the assumptions and practice which support it. [Seymour and Hewett 1997].Prior…
Descriptors: Careers, Employed Women, Computer Software, Information Technology