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Aadarsh Padiyath – ACM Transactions on Computing Education, 2024
As computing educators begin to recognize that their students need strong ethical foundations, there is a growing interest to integrate meaningful ethics education into undergraduate computing curricula. To achieve this, it is crucial to understand how students respond to ethical interventions in the classroom. This review examines the acceptance…
Descriptors: Undergraduate Students, Student Attitudes, Ethics, Intervention
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Cindy Royal – Journalism and Mass Communication Educator, 2025
Artificial intelligence (AI) has taken the forefront in discussions of the future of media and education. Although there are valid concerns, AI has the potential to be useful in learning new skills, particularly those related to computer programming. This case study depicts the ways AI was introduced to assist in teaching coding, specifically in a…
Descriptors: Artificial Intelligence, Coding, Programming, Computer Science Education
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Ismaila Temitayo Sanusi; Enoch Shadrack Cudjoe; Musa Adekunle Ayanwale; Bisola Adepoju – SAGE Open, 2025
The increased trend of incorporating computer programming in the basic education system across countries requires the training of new educators. However, the current effort to increase the number of teachers teaching programming is through professional development programs for computer science (CS) teachers and from other content areas. Meanwhile,…
Descriptors: Preservice Teachers, Student Attitudes, Programming, Computer Science Education
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Sanz, Cecilia; Coma-Rosello, Teresa; Aguelo, Antonio; Alvarez, Pedro; Baldassarri, Sandra – IEEE Transactions on Education, 2023
Contribution: This article proposes and applies a new systemic 3-D model and a methodology for empathy awareness and development, integrating different partial approaches found in the literature for developing empathy as a transversal competence. Background: Empathy is a competence linked to collaboration and teamwork. Perspective taking (PT) is…
Descriptors: Empathy, Computer Science Education, Models, Emotional Development
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Shao-Heng Ko; Kristin Stephens-Martinez – ACM Transactions on Computing Education, 2025
Background: Academic help-seeking benefits students' achievement, but existing literature either studies important factors in students' selection of all help resources via self-reported surveys or studies their help-seeking behavior in one or two separate help resources via actual help-seeking records. Little is known about whether computing…
Descriptors: Computer Science Education, College Students, Help Seeking, Student Behavior
Makseem Angel Skorodinsky – ProQuest LLC, 2024
Transgender and gender nonconforming (TGNC) students are underrepresented in CS education and have been found to leave the field at higher rates than their counterparts. While there is a great deal of Computer Science (CS) education research focused on other underrepresented groups, it rarely includes those who are TGNC. Overall, there is a dearth…
Descriptors: Sexual Identity, College Students, Computer Science Education, Inclusion
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Bolloju, Narasimha – ACM Transactions on Computing Education, 2022
Domain models in software engineering--often represented as class diagrams--depict relevant classes in a given problem domain along with necessary relationships among those classes. These models are important because they establish links between the requirements of a given system under development and the subsequent phases of the systems…
Descriptors: Models, Computer Software, Student Attitudes, Cooperation
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Dan Sun; Fan Xu – Journal of Educational Computing Research, 2025
Real-time collaborative programming (RCP), which allows multiple programmers to work concurrently on the same codebase with changes instantly visible to all participants, has garnered considerable popularity in higher education. Despite this trend, little work has rigorously examined how undergraduates engage in collaborative programming when…
Descriptors: Cooperative Learning, Programming, Computer Science Education, Undergraduate Students
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Madhav Sharma; Roger McHaney – Decision Sciences Journal of Innovative Education, 2025
Many management information systems (MIS) faculty have adopted a project-oriented approach in their systems analysis and design courses. In these courses, students use a software development methodology to create a web or mobile application project, which can be based on a predefined case or developed for an external stakeholder. Because most…
Descriptors: Computer Software, Artificial Intelligence, Instructional Design, Computer Science Education
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David P. Bunde; John F. Dooley – PRIMUS, 2024
We present a detailed description of a Cryptography and Computer Security course that has been offered at Knox College for the last 15 years. While the course is roughly divided into two sections, Cryptology and Computer Security, our emphasis here is on the Cryptology section. The course puts the cryptologic material into its historical context…
Descriptors: Technology, Coding, Computer Security, Mathematics Education
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Mayowa Oyedoyin; Ismaila Temitayo Sanusi; Musa Adekunle Ayanwale – Computer Science Education, 2025
Background and Context: Recognizing that digital technologies can enable economic transformation in Africa, computing education has been considered a subject relevant for all within the compulsory level of education. The implementation of the subject in many schools is, however, characterized by a myriad of challenges, including pedagogical…
Descriptors: Elementary School Students, Student Attitudes, Internet, Coding
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Mark Frydenberg; Anqi Xu; Jennifer Xu – Information Systems Education Journal, 2025
This study explores student perceptions of learning to code by evaluating AI-generated Python code. In an experimental exercise given to students in an introductory Python course at a business university, students wrote their own solutions to a Python program and then compared their solutions with AI-generated code. They evaluated both solutions…
Descriptors: Student Attitudes, Programming, Computer Software, Quality Assurance
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Giulia Toti; Lei Si; David Daniels; Matin Amoozadeh; Mohammad Amin Alipour; Guoning Chen – Discover Education, 2025
In May 2020, about 2 months after countless institutions across the world resorted to moving all their courses online in response to the COVID-19 pandemic, we conducted a survey to evaluate the impact of this transition on a group of computer science students. That first survey highlighted mostly negative effects, with students struggling to…
Descriptors: School Closing, Online Courses, COVID-19, Pandemics
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Erkan Er; Gökhan Akçapinar; Alper Bayazit; Omid Noroozi; Seyyed Kazem Banihashem – British Journal of Educational Technology, 2025
Despite the growing research interest in the use of large language models for feedback provision, it still remains unknown how students perceive and use AI-generated feedback compared to instructor feedback in authentic settings. To address this gap, this study compared instructor and AI-generated feedback in a Java programming course through an…
Descriptors: Student Evaluation, Student Attitudes, Feedback (Response), Artificial Intelligence
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Irene Govender; Reginald G. Govender; Desmond Wesley Govender – Educational Process: International Journal, 2025
Background/purpose: This research explores the use of robotics to facilitate the learning of computer programming among non-specialist pre-service teachers with no prior programming experience. With the increasing demand for 21st-century teaching competencies, it is essential to equip future educators with computational thinking (CT) skills, even…
Descriptors: Robotics, Coding, Preservice Teachers, Computer Science Education
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