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Direct linkLynsay 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
Biddle, Virginia Sue; Kern, John, III; Brent, David A.; Thurkettle, Mary Ann; Puskar, Kathryn R.; Sekula, L. Kathleen – Journal of School Nursing, 2014
Pennsylvania's response to adolescent suicide is its Student Assistance Program (SAP). SAP has been funded for 27 years although no statewide outcome studies using case-level data have been conducted. This study used logistic regression to examine drug-/alcohol-related behaviors and suspensions of suicidal students who participated in SAP. Of the…
Descriptors: Suicide, Prevention, At Risk Students, Referral
