Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Computer Software | 2 |
| Data Analysis | 2 |
| Data Collection | 2 |
| Programming | 2 |
| Assignments | 1 |
| Barriers | 1 |
| College Entrance Examinations | 1 |
| Computer Science Education | 1 |
| Computer Security | 1 |
| Data | 1 |
| Educational Research | 1 |
| More ▼ | |
Source
| Journal of Educational Data… | 2 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Secondary Education | 2 |
| High Schools | 1 |
| Higher Education | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Postsecondary Education | 1 |
Audience
Location
| Utah | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| ACT Assessment | 1 |
What Works Clearinghouse Rating
Peer reviewed
Download full textEdwards, 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
Werner, Linda; McDowell, Charlie; Denner, Jill – Journal of Educational Data Mining, 2013
Educational data mining can miss or misidentify key findings about student learning without a transparent process of analyzing the data. This paper describes the first steps in the process of using low-level logging data to understand how middle school students used Alice, an initial programming environment. We describe the steps that were…
Descriptors: Electronic Learning, Learning Processes, Educational Research, Data Collection
