Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Classification | 1 |
| Computer Uses in Education | 1 |
| Data Analysis | 1 |
| Educational Games | 1 |
| Engineering | 1 |
| Middle School Students | 1 |
| Models | 1 |
| Physics | 1 |
| Prediction | 1 |
| Science Instruction | 1 |
| Video Games | 1 |
| More ▼ | |
Source
| International Educational… | 1 |
Author
| Baker, Ryan S. | 1 |
| Slater, Stefan | 1 |
| Wang, Yeyu | 1 |
Publication Type
| Reports - Research | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Secondary Education | 1 |
Audience
Location
| Florida | 1 |
| Pennsylvania | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textSlater, Stefan; Baker, Ryan S.; Wang, Yeyu – International Educational Data Mining Society, 2020
Feature engineering, the construction of contextual and relevant features from system log data, is a crucial component of developing robust and interpretable models in educational data mining contexts. The practice of feature engineering depends on domain experts and system developers working in tandem in order to creatively identify actions and…
Descriptors: Data Analysis, Engineering, Classification, Models
