Publication Date
| In 2025 | 0 |
| Since 2024 | 2 |
| Since 2021 (last 5 years) | 5 |
| Since 2016 (last 10 years) | 31 |
| Since 2006 (last 20 years) | 73 |
Descriptor
| College Students | 77 |
| Correlation | 77 |
| Computer Science Education | 70 |
| Foreign Countries | 46 |
| Student Attitudes | 23 |
| Academic Achievement | 20 |
| Programming | 20 |
| Gender Differences | 18 |
| Statistical Analysis | 18 |
| Predictor Variables | 17 |
| Teaching Methods | 16 |
| More ▼ | |
Source
Author
| Chen, Chen | 2 |
| Harris, Robert V. | 2 |
| Sadler, Philip M. | 2 |
| Sonnert, Gerhard | 2 |
| Abrizah, A. | 1 |
| Agbo, Friday Joseph | 1 |
| Agjei, Richard O. | 1 |
| Al-Fadhli, Salah | 1 |
| Altun, Halis | 1 |
| Andersen, Barry K. | 1 |
| Atapattu, Thushari | 1 |
| More ▼ | |
Publication Type
Education Level
| Higher Education | 74 |
| Postsecondary Education | 64 |
| High Schools | 2 |
| Two Year Colleges | 2 |
| Elementary Secondary Education | 1 |
| Secondary Education | 1 |
Audience
| Researchers | 1 |
Location
| Turkey | 10 |
| Malaysia | 5 |
| Australia | 4 |
| Japan | 3 |
| Philippines | 3 |
| South Africa | 3 |
| United Kingdom | 3 |
| Denmark | 2 |
| Finland | 2 |
| France | 2 |
| Germany | 2 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkShah, 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
Fowler, Max; Smith, David H., IV; Hassan, Mohammed; Poulsen, Seth; West, Matthew; Zilles, Craig – Computer Science Education, 2022
Background and Context: Lopez and Lister first presented evidence for a skill hierarchy of code reading, tracing, and writing for introductory programming students. Further support for this hierarchy could help computer science educators sequence course content to best build student programming skill. Objective: This study aims to replicate a…
Descriptors: Programming, Computer Science Education, Correlation, Introductory Courses
Hengtao Tang; Miao Dai; Xu Du; Jui-Long Hung; Hao Li – Innovations in Education and Teaching International, 2024
Blended learning has been widely integrated in college-level computer science education. Despite evidence about benefits of blended learning, students' in-class activities remain underexplored. To afford effective blended learning experience, supporting students in both modalities is essential. This study thus took an initial step to fill the gap…
Descriptors: Blended Learning, Computer Science Education, Online Courses, Pretests Posttests
Download full textChen, Chen; Jeckel, Stuart; Sonnert, Gerhard; Sadler, Philip M. – International Journal of Computer Science Education in Schools, 2019
This study examines the relationship between students' pre-college experience with computers and their later success in introductory computer science classes in college. Data were drawn from a nationally representative sample of 10,197 students enrolled in computer science at 118 colleges and universities in the United States. We found that…
Descriptors: Computer Science Education, Programming, Academic Achievement, College Students
Smith, Julie M. – Journal of Computers in Mathematics and Science Teaching, 2020
In contrast to the experience of other professional fields, the percentage of women in computer science has decreased substantially in recent decades. This phenomenon is a significant and growing problem in a society where new technologies impact nearly every facet of life, including criminal justice and health care. This study examines whether…
Descriptors: Females, Computer Science Education, College Students, Predictor Variables
John Mark R. Asio – Malaysian Online Journal of Educational Sciences, 2024
Understanding and securely using AI systems and tools requires AI literacy. In contrast, AI self-efficacy is a person's confidence in completing an AI task. Also, AI self-competence is the ability to explain how AI technologies are used at work and how they affect society. This study examines college students' AI literacy, self-efficacy, and…
Descriptors: Artificial Intelligence, Computer Software, Technological Literacy, Self Esteem
Geerling, Danielle; Butner, Jonathan; Fraughton, Tamra; Sinclair, Sungchoon; Zachary, Joseph; Sansone, Carol – Journal of Experimental Education, 2020
To better understand students' experiences while learning in an online computer-science course, we adopted a dynamical systems analytic framework in which we tested linked patterns of confusion and interest over time and investigated whether and how those patterns might change as a function of students' exposure to a utility value (UV)…
Descriptors: Online Courses, Computer Science Education, Student Interests, Intervention
Wongwuttiwat, Jittima; Winley, Graham Kenneth – Journal of Education for Business, 2020
This is an exploratory classroom project involving lecturers and students in an ICT degree program at a university in Thailand. Twenty creativity traits derived from neuroscience are used as a framework to examine and compare: (a) the importance that lecturers assign to these traits as attributes of students; and (b) the extent to which students…
Descriptors: Creativity, College Faculty, College Students, Neurosciences
Xinogalos, Stelios; Satratzemi, Maya; Chatzigeorgiou, Alexander; Tsompanoudi, Despina – Journal of Educational Computing Research, 2019
Pair Programming has been shown to increase productivity and code quality not only in professional software development but also in the context of programming education. The provision of broadband Internet access gave rise to Distributed Pair Programming (DPP) enabling two programmers to collaborate remotely. To gain insight into the benefits of…
Descriptors: Programming, Cooperative Learning, Computer Science Education, Foreign Countries
Bekkering, Ernst; Ward, Ted – Information Systems Education Journal, 2020
Student performance in classes can be affected by lack of attendance and attention while in class. This paper examines the effect of student participation on performance in two Computer Science classes. Attendance and attentiveness are automatically recorded by the videoconferencing software used for the classes. Student participation is measured…
Descriptors: Class Activities, Student Participation, Performance Factors, Attendance
Sahin, Senay; Birinci, Yakup Zühtü; Sagdilek, Engin; Vatansever, Serife; Pancar, Serkan; Sahin, Ersin; Kiziltan, Erhan – International Journal of Curriculum and Instruction, 2020
Fine motor skill is ability to control and coordinate the small muscles in the hand for precise movements. Fine motor skill have been associated with several other cognitive abilities, including processing speed executive functions and scholastic skills. Fine motor skill in the early years have also been shown to predict later academic…
Descriptors: Comparative Analysis, Psychomotor Skills, Athletes, Correlation
Sax, Linda J.; Newhouse, Kaitlin N. S.; Goode, Joanna; Nakajima, Tomoko M.; Skorodinsky, Max; Sendowski, Michelle – ACM Transactions on Computing Education, 2022
The Advanced Placement Computer Science Principles (APCSP) course was introduced in 2016 to address long-standing gender and racial/ethnic disparities in the United States among students taking Advanced Placement Computer Science (APCS) in high school, as well as among those who pursued computing majors in college. Although APCSP has drawn a more…
Descriptors: Advanced Placement Programs, Computer Science Education, Equal Education, High School Students
Turkmen, Gamze; Caner, Sonay – Turkish Online Journal of Distance Education, 2020
This study aims to provide a comprehensive and in-depth investigation of the debugging process in programming teaching in terms of cognitive and metacognitive aspects, based on programming students who demonstrate low, medium, and high programming performance and to propose instructional strategies for scaffolding novice learners in an effective…
Descriptors: Programming, Novices, Electronic Learning, Troubleshooting
Agbo, Friday Joseph; Olawumi, Olayemi; Oyelere, Solomon Sunday; Kolog, Emmanuel Awuni; Olaleye, Sunday Adewale; Agjei, Richard O.; Ukpabi, Dandison C.; Yunusa, Abdullahi Abubakar; Gbadegeshin, Saheed A.; Awoniyi, Luqman; Erinle, Kehinde O.; Mogaji, Emmanuel; Silas, Aziaka Duabar; Nwachukwu, Chijioke E.; Olawuni, Adedayo – International Journal of Education and Development using Information and Communication Technology, 2020
Social media has become an important platform where users share, comment, discuss, communicate, interact, and play games. Aside from using social media for personal, social, and business purposes, the use of social media has gained attention, particularly for collaborative learning in the educational sector. This paper examines the role of social…
Descriptors: Social Media, Educational Technology, Technology Uses in Education, Teaching Methods
Xia, Belle Selene; Liitiäinen, Elia – European Journal of Engineering Education, 2017
The benefits of using online exercises have been analysed in terms of distance learning, automatic assessment and self-regulated learning. In this study, we have not found a direct proportional relationship between student performance in the course exercises that use online technologies and the exam grades. We see that the average submission rate…
Descriptors: Computer Science Education, Electronic Learning, Programming, Academic Achievement
