Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Computer Assisted Testing | 3 |
| Data Interpretation | 3 |
| Bayesian Statistics | 1 |
| Change Strategies | 1 |
| Courseware | 1 |
| Data Analysis | 1 |
| Data Collection | 1 |
| Data Processing | 1 |
| Educational Change | 1 |
| Engines | 1 |
| Environmental Education | 1 |
| More ▼ | |
Author
| Curda, Stephen K. | 1 |
| Grace, Elizabeth J. | 1 |
| Mahmoud Ashry | 1 |
| McKeown, Rosalyn | 1 |
| Mohamed A. Metwally | 1 |
| Mostafa M. Samy | 1 |
| Rademaker, Linnea L. | 1 |
| Wael M. Elmayyah | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Evaluative | 3 |
Education Level
| Adult Education | 1 |
| Higher Education | 1 |
Audience
Location
| Tennessee | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Mostafa M. Samy; Mohamed A. Metwally; Mahmoud Ashry; Wael M. Elmayyah – Measurement: Interdisciplinary Research and Perspectives, 2025
Gas Turbine Engines (GTE) have the highest power-to-weight ratio among Internal Combustion Engines (ICE). Its modularity and ability to utilize various types of fuel make it highly recommended in power plants, naval transportation, and, of course, the most equipped in aviation. The lack of GTEs' real data is increasing a recognized need for…
Descriptors: Engines, Power Technology, Data Collection, Data Interpretation
Rademaker, Linnea L.; Grace, Elizabeth J.; Curda, Stephen K. – Qualitative Report, 2012
As diverse members of a college of education evaluation committee one of our charges is to support faculty as we document and improve our teaching. Our committee asked faculty to respond to three qualitative questions, documenting ways in which interdepartmental and cross-department conversations are used to promote reflective thinking about our…
Descriptors: Computer Assisted Testing, Data Analysis, Qualitative Research, Courseware
McKeown, Rosalyn – Applied Environmental Education and Communication, 2006
Few examples exist on how to use survey data to inform public environmental education programs. I suggest a process for interpreting statewide survey data with the four questions that give insights into local context and make it possible to gain insight into potential target audiences and community priorities. The four questions are: What…
Descriptors: Wastes, Environmental Education, Data Interpretation, Sanitation

Peer reviewed
Direct link
