NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 2 results Save | Export
Artificial Intelligence-Based Student Activity Monitoring for Suicide Risk: Considerations for K-12 Schools, Caregivers, Government, and Technology Developers. Research Report. RR-A2910-1
Peer reviewed Peer reviewed
Direct linkDirect link
Lynsay Ayer; Benjamin Boudreaux; Jessica Welburn Paige; Pierrce Holmes; Tara Laila Blagg; Sapna J. Mendon-Plasek – RAND Corporation, 2023
In response to the widespread youth mental health crisis, some kindergarten-through-12th-grade (K-12) schools have begun employing artificial intelligence (AI)--based tools to help identify students at risk for suicide and self-harm. The adoption of AI and other types of educational technology to partially address student mental health needs has…
Descriptors: Artificial Intelligence, Elementary Secondary Education, At Risk Students, Suicide
Reparable Harm: Assessing and Addressing Disparities Faced by Boys and Men of Color in California. Monograph
Direct linkDirect link
Davis, Lois M.; Kilburn, M. Rebecca; Schultz, Dana J. – RAND Corporation, 2009
The study identifies some of the greatest disparities for boys and men of color relative to their white counterparts across specific socioeconomic, health, safety, and school readiness indicators in California and provides information about different strategies for reducing the disparities--including effective programs, practices, and…
Descriptors: School Readiness, Males, Minority Groups, Racial Bias