Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 3 |
Descriptor
Computer Science Education | 3 |
Computer Security | 3 |
State Universities | 3 |
Teaching Methods | 2 |
Undergraduate Students | 2 |
Assignments | 1 |
Barriers | 1 |
College Entrance Examinations | 1 |
Computer Software | 1 |
Data Analysis | 1 |
Data Collection | 1 |
More ▼ |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Dissertations/Theses -… | 1 |
Education Level
Higher Education | 3 |
Postsecondary Education | 3 |
High Schools | 1 |
Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
ACT Assessment | 1 |
What Works Clearinghouse Rating
Gary A. Harris – Journal of Cybersecurity Education, Research and Practice, 2024
Cybersecurity threats have been a serious and growing problem for decades. In addition, a severe shortage of cybersecurity professionals has been proliferating for nearly as long. These problems exist in the United States and globally and are well documented in literature. This study examined what state universities are doing to help address the…
Descriptors: State Universities, Computer Security, Professional Personnel, Labor Supply
Yuli Deng – ProQuest LLC, 2021
Personalized learning is gaining popularity in online computer science education due to its characteristics of pacing the learning progress and adapting the instructional approach to each individual learner from a diverse background. Among various instructional methods in computer science education, hands-on labs have unique requirements of…
Descriptors: Individualized Instruction, Experiential Learning, Computer Science Education, Electronic Learning
Edwards, John; Hart, Kaden; Shrestha, Raj – Journal of Educational Data Mining, 2023
Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…
Descriptors: Data Analysis, Computer Science Education, Learning Analytics, Research Methodology