在国际学生评估项目(PISA)中探索对科学的态度与表现之间的关系

IF 3.8 1区 心理学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Gorka Bidegain , José Francisco Lukas Mujika
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引用次数: 4

摘要

国际学生评估项目(PISA) 2006和PISA 2015侧重于学生的科学能力,为分析科学表现和科学态度之间的相互作用提供了广泛的数据库。在其他评估研究中对这种关系进行的少数尝试表明,在个人层面上存在一些正相关,而在各国之间存在一些意想不到的负相关和缺乏标量不变性。本研究的目的是为了探索这种关系在国家之间和国家内部地区的普遍性。为此,使用普通最小二乘法和分位数回归建模技术以及二元相关矩阵分析来分析2015年PISA数据。在不同的尺度上探讨了态度(如自我效能感、科学兴趣、参与科学活动和享受科学)与科学表现之间的关系模式;在72个参与PISA的国家和西班牙的17个地区。在各个国家,这种关系出乎意料地对所有态度都是负的,尽管高分位数显示的模式不那么明显。在各个地区,只有自我效能感与科学成绩显著正相关。总体而言,正非线性关系在高性能值中表现突出。本研究结果表明,需要进一步研究非参数分位数回归模型,并在研究潜在的通用/不变模型时探索态度指数的缩放。这项研究应该尝试使用综合分数来证明跨国家/地区的比较是合理的,同时考虑到文化、教育和社会对科学态度的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploración de la relación entre actitudes ante las ciencias y el rendimiento en el Programa Internacional para la evaluación de estudiantes (PISA)

The Program for International Student Assessment (PISA) 2006 and PISA 2015 is focused on students’ competency in science, providing wide data banks for the analysis of the interaction between science performance and attitudes toward science. The few attempts to study this relationship in other assessment studies suggest some positive correlations on the individual level and some unexpected negative correlations and a lack of scalar invariance across countries. The aim of this study is to contribute to the exploration of the generalizability of this relationship across countries and regions within nations. For this, the PISA 2015 data are analyzed using Ordinary Least Square and Quantile regression modelling techniques together with bivariate correlation matrix analysis. The relationship patterns between attitudes —such as self-efficacy, interest in science, participation in science activities, and enjoyment of science—and performance in science are explored at different scales; across 72 PISA participating countries and across 17 regions in Spain. Across countries, the relationship is unexpectedly negative for all attitudes, although high quantiles show a much less pronounced pattern. Across regions, only self-efficacy is significantly and positively correlated with science performance. Overall, positive non–linear relationships are distinguished for high performance values. The results of this study suggest the need of further research using non-parametric quantile regression modeling, and exploring attitudinal indices scaling when investigating potential universal/invariant models. This research should try to justify the comparison across countries/regions using aggregated scores, while incorporating differences in cultural, educational, and social influences on attitudes toward science.

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来源期刊
CiteScore
6.60
自引率
5.60%
发文量
18
审稿时长
35 days
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