Publication Date
In 2025 | 12 |
Since 2024 | 232 |
Since 2021 (last 5 years) | 925 |
Since 2016 (last 10 years) | 1860 |
Since 2006 (last 20 years) | 3048 |
Descriptor
Source
Author
Barnes, Tiffany | 17 |
Soh, Leen-Kiat | 13 |
Frydenberg, Mark | 10 |
Laakso, Mikko-Jussi | 10 |
Schwieger, Dana | 10 |
Tsai, Chia-Wen | 9 |
Xinogalos, Stelios | 9 |
Armoni, Michal | 8 |
Gal-Ezer, Judith | 8 |
Malmi, Lauri | 8 |
Heckman, Sarah | 7 |
More ▼ |
Publication Type
Education Level
Location
Turkey | 154 |
Australia | 84 |
United Kingdom | 84 |
Taiwan | 75 |
Spain | 63 |
Germany | 53 |
Canada | 47 |
Finland | 47 |
China | 45 |
Malaysia | 42 |
California | 41 |
More ▼ |
Laws, Policies, & Programs
Equal Access | 1 |
Higher Education Act Title IX | 1 |
Higher Education Opportunity… | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Does not meet standards | 1 |
Chen, Peggy P. – New Directions for Teaching and Learning, 2023
Many introductory computer science (CS) courses are intended to address the increased demand for computer literacy and the development of cross-cutting concepts and practices of computational thinking (CT). Colleges and universities offer introductory CS courses every semester toward this end. The issue is centered on how to support CT learning in…
Descriptors: Introductory Courses, Computer Science Education, Computer Literacy, Thinking Skills
Antti-Jussi Lakanen; Ville Isomöttönen – Informatics in Education, 2023
This research investigates university students' success in their first programming course (CS1) in relation to their motivation, mathematical ability, programming self-efficacy, and initial goal setting. To our knowledge, these constructs have not been measured in a single study before in the Finnish context. The selection of the constructs is in…
Descriptors: Foreign Countries, College Students, Student Motivation, Self Efficacy
Panagiotis Apostolellis; Jessica Taggart; R. X. Schwartz – European Journal of Engineering Education, 2023
Group projects are expected in contemporary engineering curricula, and yet they often pose a challenge to students and instructors alike. Could making projects personally relevant help? The present study created and tested a conceptual framework regarding the impact of personal relevance on groupwork in a project-based learning (PBL) course. We…
Descriptors: Instructional Effectiveness, Student Projects, Active Learning, Relevance (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
Furkan Yucel; Hasret Sultan Unal; Elif Surer; Nejan Huvaj – IEEE Transactions on Learning Technologies, 2024
Laboratory experience is an integral part of the undergraduate curriculum in most engineering courses. When physical learning is not feasible, and when the demand cannot be met through actual hands-on laboratory sessions, as has been during the COVID-19 pandemic, virtual laboratory courses can be considered as an alternative education medium. This…
Descriptors: Electronic Learning, Engineering Education, COVID-19, Pandemics
Embracing Artificial Intelligence to Improve Self-Directed Learning: A Cybersecurity Classroom Study
Jim Marquardson – Information Systems Education Journal, 2024
Generative artificial intelligence (AI) tools were met with a mix of enthusiasm, skepticism, and fear. AI adoption soared as people discovered compelling use cases--developers wrote code, realtors generated narratives for their websites, students wrote essays, and much more. Calls for caution attempted to temper AI enthusiasm. Experts highlighted…
Descriptors: Artificial Intelligence, Capstone Experiences, Computer Security, Information Security
Shonn Cheng; Hsuan-Pu Chang; Sheng-Shiang Tseng – European Journal of Psychology of Education, 2024
The goal of the present study was to explore the relations among perceived psychosocial learning environments, instructional modality, motivation, self-regulated learning, and academic achievement in blended computer science education. The participants were 207 undergraduate students enrolled in a blended online and face-to-face design course. We…
Descriptors: Undergraduate Students, Computer Science Education, Blended Learning, Student Motivation
Oscar Navarro – ProQuest LLC, 2024
There is a significant gap in the number of women who go into college as computer science majors and decide to pursue the field in the workforce. There are challenges present for female students since the start of their education that their male counterparts do not face, which ultimately contributes to this gender gap. Such challenges include a…
Descriptors: Undergraduate Students, Females, Computer Science Education, Gender Issues
Hugo G. Lapierre; Patrick Charland; Pierre-Majorique Léger – Computer Science Education, 2024
Background and Context: Current programming learning research often compares novices and experienced programmers, leaving early learning stages and emotional and cognitive states under-explored. Objective: Our study investigates relationships between cognitive and emotional states and learning performance in early stage programming learners with…
Descriptors: Programming, Computer Science Education, Psychological Patterns, Cognitive Processes
Tracy Ediger; Olga Glebova; Michael Waterson; Matthew Nusnbaum – Journal of College Science Teaching, 2024
During the COVID-19 pandemic, it was suddenly necessary to shift college courses online. Many instructors without experience teaching online were faced with decisions about how to structure their courses and support students during the pandemic. In the three introductory STEM courses described in this article, instructors chose to include online…
Descriptors: COVID-19, Pandemics, School Closing, Online Courses
Orly Barzilai; Sofia Sherman; Moshe Leiba; Hadar Spiegel – Journal of Information Systems Education, 2024
Data Structures and Algorithms (DS) is a basic computer science course that is a prerequisite for taking advanced information systems (IS) curriculum courses. The course aims to teach students how to analyze a problem, design a solution, and implement it using pseudocode to construct knowledge and develop the necessary skills for algorithmic…
Descriptors: Statistics Education, Problem Solving, Information Systems, Algorithms
Katie N. Smith – AERA Open, 2024
Despite the growing popularity of computing bachelor's programs, women remain vastly underrepresented in these fields. Using Social Cognitive Career Theory and intersectionality as guiding theories, this qualitative study explores how postsecondary institutions shape women's experiences choosing and entering computing bachelor's programs.…
Descriptors: Undergraduate Students, Females, Disproportionate Representation, Computer Science Education
Shmallo, Ronit; Ragonis, Noa – Education and Information Technologies, 2021
The paper presents research that aims to expose students' understanding of the "this" reference in object-oriented programming. The study was conducted with high school students (N = 86) and college engineering students (N = 77). Conceptualization of "this" reflects an understanding of objects in general and involves aspects of…
Descriptors: Computer Science Education, Programming, High School Students, College Students
Bowman, Nicholas A.; Jarratt, Lindsay; Culver, K. C.; Segre, Alberto M. – ACM Transactions on Computing Education, 2021
Active and collaborative learning has shown considerable promise for improving student outcomes and reducing group disparities. As one common form of collaborative learning, pair programming is an adapted work practice implemented widely in higher education computing programs. In the classroom setting, it typically involves two computer science…
Descriptors: Programming, Cooperative Learning, Student Attitudes, Academic Achievement
Fowler, Megan; Hallstrom, Jason; Hollingsworth, Joseph; Kraemer, Eileen; Sitaraman, Murali; Sun, Yu-Shan; Wang, Jiadi; Washington, Gloria – Informatics in Education, 2021
Computer science students often evaluate the behavior of the code they write by running it on specific inputs and studying the outputs, and then apply their comprehension to a more general understanding of the code. While this is a good starting point in the student's career, successful graduates must be able to reason analytically about the code…
Descriptors: Computer Science Education, Coding, Computer Software, Abstract Reasoning