THE GENERATIVE MECHANISM OF SECONDARY SCHOOL STUDENTS’ OCCUPATIONAL EXPECTATIONS IN THE BALTIC COUNTRIES: INFLUENCE OF FAMILY, SCHOOL, AND INDIVIDUAL SCIENCE LEARNING ACHIEVEMENT

Author:

Jiang Tao1ORCID,Chen Ji-gen1ORCID,Fang Wei2ORCID

Affiliation:

1. Taizhou University, China

2. Shanghai Normal University, China

Abstract

Gender, learning achievements, parents’ occupational status, social-economic backgrounds, and a few traits of schools affect students’ occupational expectations. However, no research had integrated the above factors to investigate the generative mechanism of students’ occupational expectations. After combining student-level and school-level PISA 2018 datasets, two-level latent covariate modeling was used to find the generative mechanism of students’ occupational expectations in the Baltic countries. The mechanism had its primary concern to understand roles parents’ occupational status and individual science learning achievement played on students’ occupational expectations. The results indicate that the generative mechanism of students’ occupational expectations of Lithuania, Estonia, and Latvia are the power model, the maternal model, and the science learning achievement pattern, respectively. It suggests one parent having high occupational status is to mold children’s high-skilled occupational expectations, and it would be better the mother is the higher occupational status parent. It highlights the importance of strengthening adult education, especially that aimed at families with both parents of low occupational status. It disapproves of a mother being a full-time housewife. It may impede her children from having ambitions for high-skilled jobs. Keywords: occupational expectation, PISA 2018 datasets, science learning achievement, two-level latent covariate model

Publisher

Scientia Socialis Ltd

Subject

Education

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3