The National Science Foundation awarded $295,563 under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to the University of Rochester. This two-year Project Grant will support the development of a novel programming-free and visual-based machine learning environment to enable high school students and teachers with limited data skills to discover complex scientific phenomena through pattern analysis of real-world data. Key activities include creating the visual learning tools utilizing glyph-based data visualization and analogical learning processes, collaborating with K-12 STEM teachers and data experts to develop related scientific inquiry activities, and evaluating the effectiveness of the environment in supporting multi-dimensional pattern discovery, machine learning concepts, and data-driven scientific questioning. Findings will advance knowledge on minimizing cognitive load for novice AI learners in K-12 settings. The resulting learning environment and activities will be made publicly available upon completion in June 2024.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $295.6k | 5/18/22 |