Ha Jin
North Minzu University, Yinchuan, China.
Appl Bionics Biomech. 2022 Apr 11;2022:1594108. doi: 10.1155/2022/1594108. eCollection 2022.
Through school education to intervene in the behavior of adolescent health risk behaviors students and guide students to have a correct concept of quality and health, this paper uses artificial intelligence technology to mine students' body language to analyze students' behavior in quality education dance classes, so as to achieve effective intervention for AHRB students. Before the experimental study, AHRB students and normal students were mixed into groups in a ratio of not less than 1 : 18. The results of the study showed that the implementation of intervention strategies could reduce the recurrence of various risky behaviors in adolescents. When non-AHRB students and AHRB students intervene together, there will be no adverse effects on non-AHRB students.
通过学校教育干预青少年健康风险行为学生的行为,并引导学生树立正确的素质和健康观念,本文利用人工智能技术挖掘学生的肢体语言,以分析素质教育舞蹈课中学生的行为,从而对健康风险行为学生实现有效干预。在实验研究前,将健康风险行为学生和正常学生按不低于1∶18的比例混合分组。研究结果表明,实施干预策略可降低青少年各种危险行为的复发率。当非健康风险行为学生和健康风险行为学生一起接受干预时,对非健康风险行为学生不会产生不利影响。