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Amanda Ross; Andrew Katz – Journal of Engineering Education, 2025
Background: Computer science faces a persistent attrition problem, with people leaving the field at a rate that exceeds new entrants. Given the increasing demand for computing jobs, it is essential to focus on reducing the number of individuals exiting the field. Purpose: This study investigates why individuals leave the computer science field…
Descriptors: Artificial Intelligence, Social Media, Computer Mediated Communication, Computer Science
James Knutson; Kristen Stagg – International Journal of Education in Mathematics, Science and Technology, 2025
This research examines the integration of computational thinking in mathematics education, specifically examining its impact on students' algebraic reasoning. By teaching core computational concepts such as pattern recognition, decomposition, and algorithmic thinking, students develop a deeper understanding of algebraic structures and processes.…
Descriptors: Computation, Thinking Skills, Algebra, Mathematics Instruction
Mercy Jaiyeola – ProQuest LLC, 2021
Efforts to increase the participation of groups historically underrepresented in computing studies, and in the computing workforce, are well documented. It is a national effort with funding from a variety of sources being allocated to research in broadening participation in computing (BPC). Many of the BPC efforts are funded by the National…
Descriptors: Computer Science, Computers, Career Pathways, Minority Groups
Joe Michael Allen – ProQuest LLC, 2021
A well-run introductory CS1 course is essential for all students within CS education. CS1 is necessary to keep students in the major and important to attract non-majors to the CS field. Unfortunately, there are many well-known issues that most CS1 courses have in common: high drop rates, low retention, high student stress, student struggle,…
Descriptors: Undergraduate Students, Computer Science Education, Computer Science, Required Courses
Hamlen Mansour, Karla; Jackson, Debbie K.; Bievenue, Lisa; Voight, Adam; Sridhar, Nigamanth – ACM Transactions on Computing Education, 2023
In a nationwide initiative to increase computer science Education in K-12, many teachers were recruited to CS teaching positions but without adequate preparation, which can lead to lack of confidence and feelings of isolation [35, 54]. In response to these issues, the purpose of this study was to determine the effectiveness of a newly developed…
Descriptors: Computer Science Education, Faculty Development, Peer Teaching, Elementary School Teachers
Bambang Sulistio; Arief Ramadhan; Edi Abdurachman; Muhammad Zarlis; Agung Trisetyarso – Education and Information Technologies, 2024
Computer science development, especially machine learning, is a thriving innovation essential for education. It makes the process of teaching and learning more accessible and manageable and also promotes equality. The positive influence of machine learning can also be felt in Islamic studies, particularly in Hadith studies. This literature review…
Descriptors: Electronic Learning, Artificial Intelligence, Computer Uses in Education, Islam
Cleo Schulten; Irene-Angelica Chounta – Education and Information Technologies, 2024
This paper presents an analysis of the current research landscape around hackathons and hackathon-like events as opportunities and means for learning. In particular, we aimed to explore how hackathon-like events are utilized to promote learning, what systematic approaches are used to orchestrate learning in such events, and to what extent…
Descriptors: Literature Reviews, Computer Science, Cooperative Learning, Group Activities
Seliem El-Sayed; Filip Paspalj – Research Ethics, 2024
Recital 33 GDPR has often been interpreted as referring to 'broad consent'. This version of informed consent was intended to allow data subjects to provide their consent for certain areas of research, or parts of research projects, conditional to the research being in line with 'recognised ethical standards'. In this article, we argue that broad…
Descriptors: Ethics, Social Science Research, Standards, Data Analysis
Heather Marie Wood – ProQuest LLC, 2024
This qualitative research used the tenants of phenomenological research to structure a study that begins to identify faculty coordinator's decision processes in selecting a general education mathematics course. In this study, I examined the question if a faculty member's experiences or beliefs had any influence on the decision process. The…
Descriptors: Coordinators, Decision Making, Beliefs, Humanities
Lunn, Stephanie; Zahedi, Leila; Ross, Monique; Ohland, Matthew W. – ACM Transactions on Computing Education, 2021
Although computing occupations have some of the greatest projected growth rates, there remains a deficit of graduates in these fields. The struggle to engage enough students to meet demands is particularly pronounced for groups already underrepresented in computing, specifically, individuals that self-identify as a woman, or as Black,…
Descriptors: Computer Science, Disproportionate Representation, Minority Groups, Enrollment Rate
Birgy Lorenz – Educational Media International, 2023
The proportion of women in the IT sector is decreasing. In schools, girls tend to stay away from IT or take on roles in softer activities such as digital safety, social media. Studying and working in IT requires technical skillset. At the same time, the sector would need people with people and organizational skills as well. Technical skills can be…
Descriptors: Females, Role Models, Information Technology, Foreign Countries
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
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
Paul Christian Dawkins; Kyeong Hah Roh – Journal for Research in Mathematics Education, 2024
This article offers the construct "unitizing predicates" to name mental actions important for students' reasoning about logic. To unitize a predicate is to conceptualize (possibly complex or multipart) conditions as a single property that every example has or does not have, thereby partitioning a universal set into examples and…
Descriptors: Thinking Skills, Logical Thinking, Mathematical Logic, Validity
Selçuk Dogan; Mete Akcaoglu – Teacher Education Quarterly, 2024
Learning computer science (CS) is increasingly becoming a necessary component of K-12 education, but in most cases, teachers do not have either the essential knowledge to teach or a curriculum to follow. In this article, we analyze the outcomes from a yearlong, blended professional development (PD) program to teach teachers game design and coding…
Descriptors: Disproportionate Representation, Blended Learning, Professional Development, Computer Science

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