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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
Josh Tenenberg; Donald Chinn – Computer Science Education, 2025
Background and context: We address the question of what computer science students take the discipline to be. How students conceive the discipline can influence whether a student pursues computer science, what particular area within computer science they focus on and whether they persist in the discipline. In this paper, we examine the epistemic…
Descriptors: Computer Science Education, Epistemology, Student Attitudes, Intellectual Disciplines
Mara Kirdani-Ryan; Amy J. Ko – ACM Transactions on Computing Education, 2024
For computing to serve humanity, computing spaces must be safe for all individuals. While prior work has surfaced how hegemonic racial and gendered expectations manifest in computing, it has only indirectly attended to expectations surrounding neurodivergence. As computing stereotypes largely align with stereotypes of some neurodivergent…
Descriptors: Neurodevelopmental Disorders, Stereotypes, Disabilities, Computer Attitudes
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
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
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
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
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
Yesengazyevna, Sagimbayeva Ainur; Niyetbayeva, Nadira; Tassuov, Bolat; Kalima, Tuyenbayeva; Bekbulatovna, Arystanova Assel – Cypriot Journal of Educational Sciences, 2022
The purpose of this research is to get students' opinions on teaching programming to students with the help of educational games in the conditions of additional education in computer science. In order to carry out the study in accordance with the main purpose, the phenomenological approach, one of the qualitative research methods, was used. The…
Descriptors: Computer Science Education, Educational Games, College Students, Student Attitudes
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
Jennifer M. Blaney; Theresa E. Hernandez; Annie M. Wofford; David F. Feldon – Review of Higher Education, 2025
There are currently too few computer science faculty to meet student demand, and faculty from historically minoritized groups are severely underrepresented. Expanding pathways from community colleges to PhDs is one critical avenue to both grow and diversify the computer science professoriate that has been underexplored. To gain insight into these…
Descriptors: Computer Science, Community Colleges, College Transfer Students, Academic Aspiration
Turhan, Cigdem; Akman, Ibrahim; Hacaloglu, Tuna – Interactive Learning Environments, 2022
The instructors generally utilize conventional methods in teaching software engineering courses, where the students are provided theoretical knowledge based on text books or lecture notes. Usage of collaborative tools may be a solution to the problems of not practicing the depth of the components of the subject. This study proposes the usage of a…
Descriptors: Computer Mediated Communication, Computer Software, Computer Science Education, Cooperation
Zachary M. Savelson; Kasia Muldner – Computer Science Education, 2024
Background and Context: Productive failure (PF) is a learning paradigm that flips the order of instruction: students work on a problem, then receive a lesson. PF increases learning, but less is known about student emotions and collaboration during PF, particularly in a computer science context. Objective: To provide insight on students' emotions…
Descriptors: Student Attitudes, Psychological Patterns, Fear, Failure
Baytiyeh, Hoda; Elbassuoni, Shady – International Journal of Information and Communication Technology Education, 2021
Information and communication technologies have changed the way students learn, and higher education institutions in the Middle East region strive to attract professors who use technology in their daily teaching and learning practices. This study examines students' experiences in a web-enhanced computer science course. In an online survey based on…
Descriptors: College Students, Student Experience, Computer Science Education, Computer Science