Publication Date
In 2025 | 2 |
Since 2024 | 8 |
Since 2021 (last 5 years) | 22 |
Since 2016 (last 10 years) | 47 |
Since 2006 (last 20 years) | 80 |
Descriptor
College Students | 85 |
Gender Differences | 85 |
Computer Science Education | 71 |
Student Attitudes | 43 |
Foreign Countries | 37 |
Correlation | 18 |
Programming | 18 |
Females | 16 |
Computer Science | 15 |
Educational Technology | 14 |
Teaching Methods | 14 |
More ▼ |
Source
Author
Hazari, Zahra | 2 |
Isaias, Pedro, Ed. | 2 |
Jagesic, Sanja | 2 |
Kovacs, Paul | 2 |
Kovalchick, Lisa | 2 |
Lang, Catherine | 2 |
Peslak, Alan | 2 |
Sax, Linda J. | 2 |
Wang, Wenli | 2 |
Wyatt, Jeff | 2 |
Abdullahim, Mohammed | 1 |
More ▼ |
Publication Type
Education Level
Higher Education | 81 |
Postsecondary Education | 66 |
High Schools | 8 |
Secondary Education | 7 |
Elementary Secondary Education | 3 |
Adult Education | 2 |
Elementary Education | 2 |
Junior High Schools | 2 |
Middle Schools | 2 |
Grade 9 | 1 |
Audience
Location
Turkey | 8 |
Germany | 4 |
South Africa | 4 |
United Kingdom | 4 |
Australia | 3 |
Malaysia | 3 |
Brazil | 2 |
Canada | 2 |
India | 2 |
Italy | 2 |
Kazakhstan | 2 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
SAT (College Admission Test) | 2 |
Advanced Placement… | 1 |
California Critical Thinking… | 1 |
Learning Style Inventory | 1 |
Motivated Strategies for… | 1 |
Myers Briggs Type Indicator | 1 |
Study Process Questionnaire | 1 |
What Works Clearinghouse Rating
Alicia Garcia-Holgado; Andrea Vazquez-Ingelmo; Francisco Jose Garcia-Penalvo – IEEE Transactions on Education, 2024
Contribution: Gender mainstreaming in university teaching should be covered in all the knowledge areas. This work successfully introduces the gender perspective as part of the methodological approach to teaching and learning in Computer Science. Background: This study describes how gender mainstreaming has been introduced and matured during six…
Descriptors: Computer Science, Gender Differences, Equal Education, Inclusion
Fadoua Balabdaoui; Nora Dittmann-Domenichini; Henry Grosse; Claudia Schlienger; Gerd Kortemeyer – Discover Education, 2024
We report the results of a 4800-respondent survey among students at a technical university regarding their usage of artificial intelligence tools, as well as their expectations and attitudes about these tools. We find that many students have come to differentiated and thoughtful views and decisions regarding the use of artificial intelligence. The…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, Student Attitudes
Babes-Vroman, Monica; Nguyen, Thuytien N.; Nguyen, Thu D. – ACM Transactions on Computing Education, 2022
With the number of jobs in computer occupations on the rise, there is a greater need for computer science (CS) graduates than ever. At the same time, most CS departments across the country are only seeing 25-30% of women students in their classes, meaning that we are failing to draw interest from a large portion of the population. In this work, we…
Descriptors: Gender Differences, Diversity, Computer Science Education, Research Universities
Asiye Toker Gokce; Arzu Deveci Topal; Aynur Kolburan Geçer; Canan Dilek Eren – Education and Information Technologies, 2025
Artificial intelligence (AI) literacy is critical to shaping students' academic experiences and future opportunities inhigher education. This study examines AI literacy among university students, examining variables such as gender, frequency of use of AI applications, completion of AI-related courses, and field of study. The research involved 664…
Descriptors: Artificial Intelligence, Technological Literacy, College Students, Decision Making
Shah, Zohal; Chen, Chen; Sonnert, Gerhard; Sadler, Philip M. – AERA Online Paper Repository, 2023
Computer gameplay and social media are the two most common forms of entertainment in the digital age. Many scholars share the assumption that leisure-time digital consumption is associated with CS affinity, but there is a dearth of research evidence for this relationship. Female students generally spend less time on gaming and more time on social…
Descriptors: Computer Science, Vocational Interests, Computer Use, Gender Differences
Jinjushang Chen; Lara Perez-Felkner; Chantra Nhien; Shouping Hu; Kristen Erichsen; Yang Li – Research in Higher Education, 2024
Gender disparities persist in postsecondary computing fields, despite improvements in postsecondary equity overall and STEM fields as an aggregate. The entrenchment of this issue requires a comprehensive, longitudinal lens. Building on expectancy-value theory, the present study examines the relationships among students' gender-ability stereotypes,…
Descriptors: STEM Education, Computer Science, Gender Differences, Disproportionate Representation
Zharkynay Yesmakhanova; Yerepbayev Nurlan; Aktolkyn Boranbayeva; Alimbayev Medeu; Galiya Rysbayeva; Nurlybek Omarov – South African Journal of Education, 2024
Educational environments created by combining traditional learning environments and technology have grown, especially in recent years and have become an indispensable part of education. Therefore, with this research we aimed to evaluate students' attitudes towards blended learning. To gather university students' opinions on the effectiveness of…
Descriptors: Evaluation, Student Attitudes, Blended Learning, Computer Science Education
Méndez Irizarry, Alejandra S. – ProQuest LLC, 2023
This doctoral dissertation documents the experiences of women (student and faculty) in computer science programs. The research emerges from the literature on the gender gap in computing and video gaming. Thus, the author seeks to find the meaning that participants have granted to their experiences as undergraduate students and faculty, in a…
Descriptors: Females, Computer Science Education, Video Games, Gender Differences
Anastasia M. Schauer; Jessie Liu; Christopher Saldaña; Katherine Fu – International Journal of STEM Education, 2025
Background: Even among women who persist in the gender-imbalanced engineering fields, women on engineering design teams tend to take on non-technical roles. Understanding the mechanisms that inform this phenomenon is important for encouraging more women in STEM in order to close the gender gap. Although factors such as self-efficacy, task…
Descriptors: Sex Stereotypes, Engineering Education, Gender Issues, Design
Babik, Dmytro; Babik, Iryna – Journal of Information Systems Education, 2022
Successful development of an information system to solve a business problem depends on the analyst's ability to elicit system requirements from a user. This complex competency could be trained via critical peer evaluation of the requirements elicitation (RE) interviews. In this study, 294 students across four pre-pandemic and two COVID-19…
Descriptors: Peer Evaluation, COVID-19, Pandemics, Information Systems
Lunn, Stephanie; Ross, Monique; Hazari, Zahra; Weiss, Mark Allen; Georgiopoulos, Michael; Christensen, Kenneth – ACM Transactions on Computing Education, 2022
Despite increasing demands for skilled workers within the technological domain, there is still a deficit in the number of graduates in computing fields (computer science, information technology, and computer engineering). Understanding the factors that contribute to students' motivation and persistence is critical to helping educators,…
Descriptors: Educational Experience, Prediction, Identification (Psychology), Computer Science Education
Olelewe, Chijioke Jonathan; Dong, Chunli; Abdullahim, Mohammed; Nwangwu, Chinweike Emmanuel – Technology, Pedagogy and Education, 2023
This study determined the efficacy of the video-clip lecture strategy in enhancing computer science (CS) students' performance in a computer networking course at universities in Gombe state, Nigeria. The study adopted a quasi-experimental design with non-equivalent groups of intact classes. Study participants were 136 CS third-year students made…
Descriptors: Foreign Countries, Instructional Effectiveness, Video Technology, Lecture Method
Hsu, Hui Ching Kayla; Memon, Nasir D. – ACM Transactions on Computing Education, 2021
The necessity for a steady STEM workforce has prompted academia to develop strategies to encourage people of diverse backgrounds to enter the STEM fields. A bridge program, also known as a conversion program, offers alternative pathways for individuals who have no prior computing education to receive the education that can help in developing their…
Descriptors: Computer Science Education, STEM Education, Females, Transitional Programs
Mahadeo, Jonathan; Hazari, Zahra; Potvin, Geoff – ACM Transactions on Computing Education, 2020
This paper expands on knowledge of computing identity by building on what is known about prior identity models in science and mathematics education. The model theorizes three primary sub-constructs that contribute to the development of a computing identity: belief in one's performance/competence, interest, and recognition in computing. Drawing on…
Descriptors: Career Choice, Computer Science, Information Technology, College Students
Xu, Zhen; Ritzhaupt, Albert D.; Umapathy, Karthikeyan; Ning, Yang; Tsai, Chin-Chung – Computer Science Education, 2021
Background and context: Researchers have been looking into the complexity of computer science (CS) education and tried to apply rigorous and relevant educational research methods to understand and facilitate the learning experience of students. Objective: The purpose of this study was to explore college students' conceptions of learning CS to shed…
Descriptors: College Students, Student Attitudes, Computer Science Education, Freehand Drawing