THE EFFECTS OF AI-ENHANCED CREATIVE LEARNING MANAGEMENT ON SELF-PROTECTIVE BEHAVIORS AGAINST SUBSTANCE USE AMONG AT-RISK MALE LOWER SECONDARY SCHOOL ADOLESCENTS IN BANGKOK

Abstract

The purpose of this study was to examine the effects of creative learning management with artificial intelligence on self-protective behaviors against substance use among at-risk male adolescents. The study employed a randomized pretest–posttest, follow-up, control-group design. The sample consisted of 40 lower secondary school male students whose substance use risk behavior scores were at or above the 75th percentile. Participants were randomly assigned to an experimental group and a control group with equal numbers. The research instruments included creative learning management with artificial intelligence and a self-protective behavior questionnaire against substance use. Data were analyzed using repeated measures ANOVA and ANCOVA. The results revealed that: 1) The experimental group showed a statistically significant improvement in risk situation avoidance behaviors at the posttest and one-month follow-up compared with the pretest at the .05 level, while changes in refusal skills were not statistically significant; and 2) Compared with the control group, the experimental group demonstrated significantly higher refusal skills at the posttest at the .05 level, whereas risk situation avoidance behaviors did not differ significantly between the two groups. The findings suggest that creative learning management with artificial intelligence can enhance refusal skills through continuous application, reflection, and repeated practice of skills across learning activities, forming a creative learning spiral. However, risk-avoidant behaviors require additional support from environmental factors and cannot be sufficiently developed through school-based learning alone.