Automating Peer Learning to Reduce Alcohol Use and Related Deviant Behavior in Secondary School

Schools (N = 12) will be randomly assigned to intervention or waitlist control conditions, and data will be collected immediately in the fall (i.e., baseline measure) and in the spring, approximately 6 months later (i.e., post-treatment assessment). Overall, the investigators will have two assessment points. Data will be collected from teachers and students via on-line surveys (i.e., Qualtrics) and through observations; see below on the Measures. Intervention schools will receive training and access to the PeerLearning.net app immediately, whereas control schools will receive access in the spring after the second wave of data collection is completed. The investigators hypothesize that usage of PeerLearning.net will promote increasing levels of prosocial behavior and have a significant suppressive effects on alcohol use and related outcomes (i.e., tobacco/marijuana use, antisocial behavior, bullying/victimization, mental health problems) and salutary effects on social-emotional skills, peer relations, and sleep quality. The investigators hypothesize that there will be effects of dosage (i.e., usage of the app). Finally, the investigators will examine differences in program effects by sex (gender) and ethnicity, which the investigators expect to be small or nonexistent. Participants will include both teachers and students at 12 middle and high schools, cluster randomized to intervention vs. waitlist control. Teachers will use PeerLearning.net to design and deliver small-group peer learning lessons during the school year. The investigators will not exclude any participant based upon race/ethnicity, gender, or disability. Participating schools, teachers, and students will be rewarded.