Antoniou Faye, Alghamdi Mohammed H, Kawai Kosuke
Department of Educational Studies, National and Kapodistrian University of Athens, Athens, Greece.
Department of Self-Development Skills, King Saud University, Riyadh, Saudi Arabia.
Front Psychol. 2024 Feb 26;15:1354072. doi: 10.3389/fpsyg.2024.1354072. eCollection 2024.
The purpose of the present study was to understand students' school readiness as a function of student and teacher behaviors but also school size and class size using both linear and non-linear analytical approaches. Data came from 21,903 schools distributed across 80 countries as per the 2018 cohort of the PISA database. Results pointed to a preference for the Cusp model in that the relationship between school and class sizes with achievement proved to be best described by the non-linearity of the Cusp catastrophe model. The critical benchmarks were a school size of 801 students and a class size of 27 students for which increases beyond those thresholds were linked to nonlinearity and unpredictability in school readiness. For this reason, we suggest using the cusp catastrophe model from Nonlinear Dynamical Systems Theory (NDST) to understand more fully such complex phenomena.
本研究的目的是通过线性和非线性分析方法,了解学生的入学准备情况与学生和教师行为的关系,以及学校规模和班级规模的影响。数据来自根据2018年国际学生评估项目(PISA)数据库队列分布在80个国家的21,903所学校。结果表明,尖点模型更受青睐,因为学校规模和班级规模与学业成绩之间的关系被证明可以通过尖点突变模型的非线性来最好地描述。关键基准是学校规模为801名学生和班级规模为27名学生,超过这些阈值的增加与入学准备的非线性和不可预测性相关。因此,我们建议使用非线性动力系统理论(NDST)中的尖点突变模型来更全面地理解此类复杂现象。