<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Tao Jiang</style></author><author><style face="normal" font="default" size="100%">Hong-wei Jin</style></author><author><style face="normal" font="default" size="100%">Wen-jie Ma</style></author><author><style face="normal" font="default" size="100%">Chen, J.-G.</style></author><author><style face="normal" font="default" size="100%">Ling-min Yuan</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">TYPES OF QUALITY AND EQUAL SCIENCE EDUCATION SYSTEMS AND THE DEVELOPMENT OF EQUALITY IN EDUCATION</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Baltic Science Education</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">disadvantaged students</style></keyword><keyword><style  face="normal" font="default" size="100%">educational equity</style></keyword><keyword><style  face="normal" font="default" size="100%">equality in education</style></keyword><keyword><style  face="normal" font="default" size="100%">inequality in education</style></keyword><keyword><style  face="normal" font="default" size="100%">science education</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2023</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June/2023</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://oaji.net/articles/2023/987-1687108116.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">22</style></volume><pages><style face="normal" font="default" size="100%">Continuous</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Some education systems have both quality and equality. They have achieved educational equity. This study aimed to uncover the practical wisdom of such systems in developing educational equality. A quantitative research design was used. Family capital and science achievement were the variables analyzed. They were secondary data collected by the 2018 PISA test. PISA surveyed students' family capital with questionnaires and measured students' science achievement with cognitive items. Six education systems with quality but low equality comprised the control group. Its sample size ranged from 4656 to 8312. The experiment group included nine quality and equal education systems, with sample sizes ranging from 3766 to 21490. The relative error and conditional probability were calculated to determine educational equality. Rawls' difference principle was used as a theoretical perspective. The findings showed that quality and equal education systems had three types: equal-start, equal-improvement, and egalitarian. The primary measure to improve equality in education is to ensure educational benefits for students in the bottom quartile of family capital. The development of educational equality was accompanied by a sustained reduction in the achievement gap between the disadvantaged and the advantaged. Implications for educational practice are discussed. </style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue><work-type><style face="normal" font="default" size="100%">Original article</style></work-type><section><style face="normal" font="default" size="100%">439-453</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Tao Jiang</style></author><author><style face="normal" font="default" size="100%">Chen, J.-G.</style></author><author><style face="normal" font="default" size="100%">Xu, P.-C</style></author><author><style face="normal" font="default" size="100%">Zeng, P.-F.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">MULTILEVEL LATENT PROFILE ANALYSIS OF ESTONIAN SECONDARY SCHOOL STUDENTS' CAREER EXPECTATIONS WITH SCIENCE ACHIEVEMENT AND GENDER AS COVARIATES</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Baltic Science Education</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">career expectation types</style></keyword><keyword><style  face="normal" font="default" size="100%">multilevel latent profile analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">PISA 2018 datasets</style></keyword><keyword><style  face="normal" font="default" size="100%">Science Achievement</style></keyword><keyword><style  face="normal" font="default" size="100%">variations between schools</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2022</style></year><pub-dates><date><style  face="normal" font="default" size="100%">October/2022</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://oaji.net/articles/2022/987-1667236743.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">21</style></volume><pages><style face="normal" font="default" size="100%">Continuous</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Although much research has explored the personal, family, school, and social influences on adolescents' career expectations, little is known about the types of family-related career expectations of students and career expectation contexts in school. Using PISA 2018 test data, a multi-level latent profile analysis was conducted with indicators of parents' occupational status and children's career expectations. This research found that family-related career expectations of Estonian secondary school students can be divided into three types: enterprising, resilient, and disengaged. At the organizational level, contexts for career expectations in schools can be classified as enterprising, enterprising and resilient composite, and disengaged and resilient composite types. The research also found that science achievement and gender predicted latent profile memberships at the individual level. It is proposed that to value the science curriculum and its teaching is to invest in future human resources. It is suggested that families and schools should pay attention to stimulating male students' career aspirations. The career expectation types of secondary school students within and between schools are of great significance to the construction of national human resources, the development of schools, and the research of families. </style></abstract><issue><style face="normal" font="default" size="100%">5</style></issue><work-type><style face="normal" font="default" size="100%">Original article</style></work-type><section><style face="normal" font="default" size="100%">788-800</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Tao Jiang</style></author><author><style face="normal" font="default" size="100%">Chen, J.-G.</style></author><author><style face="normal" font="default" size="100%">Wei Fang</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">THE GENERATIVE MECHANISM OF SECONDARY SCHOOL STUDENTS’ OCCUPATIONAL EXPECTATIONS IN THE BALTIC COUNTRIES: INFLUENCE OF FAMILY, SCHOOL, AND INDIVIDUAL SCIENCE LEARNING ACHIEVEMENT</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Baltic Science Education</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">occupational expectation</style></keyword><keyword><style  face="normal" font="default" size="100%">PISA 2018 datasets</style></keyword><keyword><style  face="normal" font="default" size="100%">science learning achievement</style></keyword><keyword><style  face="normal" font="default" size="100%">two-level latent covariate model</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style  face="normal" font="default" size="100%">October/2021</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://oaji.net/articles/2021/987-1633680421.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">20</style></volume><pages><style face="normal" font="default" size="100%">Continuous</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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. </style></abstract><issue><style face="normal" font="default" size="100%">5</style></issue><work-type><style face="normal" font="default" size="100%">Original article</style></work-type><section><style face="normal" font="default" size="100%">759-774</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Tao Jiang</style></author><author><style face="normal" font="default" size="100%">Chen, J.-G.</style></author><author><style face="normal" font="default" size="100%">Yin-yin Wu</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">IMPACT OF INSTRUCTION ON SCIENCE PERFORMANCE: LEARNING INITIATIVE AS A MEDIATOR AND GENDER AS A LIMITED MODERATOR</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Baltic Science Education</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">eighth-grade students</style></keyword><keyword><style  face="normal" font="default" size="100%">gender difference</style></keyword><keyword><style  face="normal" font="default" size="100%">mediation analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">science performance</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style  face="normal" font="default" size="100%">February/2021</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://oaji.net/articles/2021/987-1611648627.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">20</style></volume><pages><style face="normal" font="default" size="100%">Continuous</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This research explores whether classroom life (CL), textbooks (TE), and learning initiative (LI) are mediators between instruction (P) and science performance, as well as whether these mechanisms are moderated by gender. 484 eighth grade students completed the questionnaire with four subscales of P, LI, TE, and CL. For the needs of triangulation and complementarity, three focus group interviews were conducted later. Based on mediation analysis and multi-group structural equation modeling, it was found that 1) the direct effects of P on LI, P on CL, P on TE, and LI on science performance are significant, while the other direct effects are insignificant; 2) comparing to the male group, the direct effect of P on LI in the female group is larger; 3) characteristics hindering students’ science learning include: the pace of a lesson is too fast, pictures and experiments are less in the textbook, and top students and low proficiency students are uncooperative. Findings expose that instruction significantly influence students’ science performance, and this impact is completely mediated by students’ learning initiatives. The relation between instruction and learning initiative is stronger in the female group. Textbooks can be useless in the context that instruction does not match students' learning ability.</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><work-type><style face="normal" font="default" size="100%">Original article</style></work-type><section><style face="normal" font="default" size="100%">50-66</style></section></record></records></xml>