Publication Date
| In 2025 | 0 |
| Since 2024 | 1 |
| Since 2021 (last 5 years) | 2 |
| Since 2016 (last 10 years) | 2 |
| Since 2006 (last 20 years) | 2 |
Descriptor
| Data Science | 2 |
| Engineering | 2 |
| Algorithms | 1 |
| Artificial Intelligence | 1 |
| College Graduates | 1 |
| Computer Peripherals | 1 |
| Computer Use | 1 |
| Data Collection | 1 |
| Data Interpretation | 1 |
| Engineering Education | 1 |
| Error of Measurement | 1 |
| More ▼ | |
Author
| Auer, Elena M. | 1 |
| Blaik, Jason | 1 |
| Landers, Richard N. | 1 |
| Marin, Sebastian | 1 |
| Mersy, Gabriel | 1 |
| Zachary del Rosario | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
| Canada | 1 |
| Philippines | 1 |
| Turkey | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkLanders, Richard N.; Auer, Elena M.; Mersy, Gabriel; Marin, Sebastian; Blaik, Jason – International Journal of Testing, 2022
Assessment trace data, such as mouse positions and their timing, offer interesting and provocative reflections of individual differences yet are currently underutilized by testing professionals. In this article, we present a 10-step procedure to maximize the probability that a trace data modeling project will be successful: (1) grounding the…
Descriptors: Artificial Intelligence, Data Collection, Psychometrics, Data Science
Zachary del Rosario – Journal of Statistics and Data Science Education, 2024
Variability is underemphasized in domains such as engineering. Statistics and data science education research offers a variety of frameworks for understanding variability, but new frameworks for domain applications are necessary. This study investigated the professional practices of working engineers to develop such a framework. The Neglected,…
Descriptors: Foreign Countries, Engineering Education, Engineering, Technical Occupations
