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) | 2 |
Descriptor
Source
| IGI Global | 1 |
| Science Teacher | 1 |
Publication Type
| Books | 1 |
| Collected Works - General | 1 |
| Journal Articles | 1 |
| Reports - Descriptive | 1 |
Education Level
Audience
| Students | 2 |
| Parents | 1 |
| Practitioners | 1 |
| Researchers | 1 |
| Teachers | 1 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkKashyap, Ramgopal, Ed.; Kumar, A. V. Senthil, Ed. – IGI Global, 2020
Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing.…
Descriptors: Artificial Intelligence, Man Machine Systems, Video Technology, Computer Uses in Education
Seeman, Jeffrey I.; Lawrence, Tom – Science Teacher, 2011
One goal of 21st-century education is to develop mature citizens who can identify issues, solve problems, and communicate solutions. What better way for students to learn these skills than by participating in a science and engineering fair? Fair participants face the same challenges as professional scientists and engineers, even Nobel laureates.…
Descriptors: Video Technology, Science Fairs, Learning Experience, Peer Influence
