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Arawjo, Ian Anders – ProQuest LLC, 2023
I situate computer programming as a cultural practice. I develop this perspective in two ways: exploring how programming practices can support intercultural learning, and examining how programming tools themselves embed cultural assumptions and values. For the former, I study how relationships across difference are formed over computing activities…
Descriptors: Computer Science Education, Programming, Cultural Influences, Elementary Secondary Education
Chang, Jen-Chia; Shih, Hsiao-Fang; Yu, Yu-Hsien – Education & Training, 2023
Purpose: In this study a survey with a questionnaire was used to track the learning situation and core competencies of students in electrical engineering and computer science at the University of Science and Technology. A determination of areas that need to be strengthened is used as a reference in the cultivation of core competency in higher…
Descriptors: Engineering, Computer Science, Technical Education, College Students
Cederqvist, Anne-Marie – International Journal of Technology and Design Education, 2022
Technology educators often provide activities where pupils design programmed technological solutions (PTS) with various programming materials for developing pupils' technological knowledge related to PTS and digital technology. However, few studies have investigated how pupils experience these activities. To fill this gap in knowledge, this…
Descriptors: Technology Education, Programming, Computer Science Education, Learning Activities
Leite, Ana Isabella Muniz; Lagoa, Lucas; Lopes, Samuel; Braga, Rosana; Antonino, Pablo Oliveira; Nakagawa, Elisa Yumi – IEEE Transactions on Education, 2022
Contribution: This article details the conduction of an experiment to investigate the knowledge that computer science graduate students have about safety-critical systems development, in particular, safety requirements specifications. Future research directions are also discussed. Background: Safety-critical systems have been increasingly used in…
Descriptors: Graduate Students, Computer Science Education, Knowledge Level, Safety
Gao, Zhikai; Erickson, Bradley; Xu, Yiqiao; Lynch, Collin; Heckman, Sarah; Barnes, Tiffany – International Educational Data Mining Society, 2022
In computer science education timely help seeking during large programming projects is essential for student success. Help-seeking in typical courses happens in office hours and through online forums. In this research, we analyze students coding activities and help requests to understand the interaction between these activities. We collected…
Descriptors: Computer Science Education, College Students, Programming, Coding
Blumenthal, Richard – ACM Transactions on Computing Education, 2022
In May and June 2021, the author conducted a survey of the computing and mathematical graduation requirements of 500 Bachelor of Science in Computer Science (BSCS) programs in the U.S. to determine alignment among these requirements and those recommended by ACM/IEEE-CS's Computer Science Curricula 2013 guidelines and ABET's Criteria for…
Descriptors: Alignment (Education), Computer Science Education, Curriculum Development, Accreditation (Institutions)
Karnalim, Oscar; Simon; Chivers, William; Panca, Billy Susanto – ACM Transactions on Computing Education, 2022
To help address programming plagiarism and collusion, students should be informed about acceptable practices and about program similarity, both coincidental and non-coincidental. However, current approaches are usually manual, brief, and delivered well before students are in a situation where they might commit academic misconduct. This article…
Descriptors: Computer Science Education, Programming, Plagiarism, Formative Evaluation
Temirbekova, Zh. E.; Pyrkova, A. Yu. – Education and Information Technologies, 2022
Currently, the study of microcontroller and microcircuits by students is becoming very important and in demand when acquiring competencies in the computer engineering educational program. This knowledge and skills will be necessary for the employment of graduates in industry, science and education. There are more and more large technical systems…
Descriptors: Electronic Equipment, Skill Development, Computer Science Education, Engineering Education
Swanson, Dewey A.; Gusev, Dmitri A. – Association Supporting Computer Users in Education, 2022
We developed a paper for the 2016 ASCUE Conference with the topic of software tools to use in the classroom. As mentioned in the original paper, our Computer and Information Technology Department (CIT) curriculum at Purdue University statewide locations includes classes in database, networking, programming and systems areas. Most of these classes…
Descriptors: Information Technology, Computer Software, Educational Technology, Computer Science Education
Raymond Todd Schenk – ProQuest LLC, 2022
This study sought to understand the "influence of robotics on self-efficacy and interest in computer science." It provides the background that has led to the current research need. The study conducted was a double pre-test, repeated measures post-test quasi-experimental study, performed by the researcher to determine the effects of a…
Descriptors: Robotics, Self Efficacy, Computer Science Education, Student Interests
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
David R. Firth; Adam Gonzales; Michelle Louch; Bryan Hammer – Information Systems Education Journal, 2025
ChatGPT is having an impact on students, and information systems (IS) and computing academic professionals alike. Our goal for this paper is to help faculty and students know the conditions in which generative AI such as ChatGPT should or should not be used. To that end, we describe the development of a 2x2 matrix. On the horizontal axis we have…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Information Systems
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
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
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