ArticleFrontiers in psychology2026
Artificial intelligence-based positive youth development intervention protocol in school settings.
Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Abstract
Positive Youth Development (PYD) conceptualizes youth as agentic, developmentally flexible individuals whose functioning reflects dynamic person-context transactions. Rapid developments in AI now offer new opportunities to support counselors and extend intervention-based programs. The purpose of this paper is to outline an eight-week AI-supported PYD intervention for high school students and frame a feasibility-oriented mixed-method outcome research design. The model integrates daily AI micro-nudges, short voluntary micro-coaching dialogues, and one weekly 10-15-min counselor mini-session. Trait-level outcomes (self-regulation and school belonging) are assessed pre-post; state-level micro-regulation is assessed daily via Ecological Momentary Assessment (EMA). Quantitative analysis uses Lakens's generalized within-subject effect-size formulation and baseline trend-corrected Tau-U; qualitative analysis uses deductive thematic analysis. The design is intended to demonstrate whether mechanism-consistent developmental micro-arrangements occur in naturalistic conditions rather than to test causal efficacy. This paper provides a research-ready protocol for future randomized controlled trials in AI-supported school-based intervention program.
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