首页> 外文学位 >Gender Differences in Learning Mathematics in Hong Kong: PISA 2003 Study.
【24h】

Gender Differences in Learning Mathematics in Hong Kong: PISA 2003 Study.

机译:香港学习数学的性别差异:PISA 2003研究。

获取原文
获取原文并翻译 | 示例

摘要

Many western studies have investigated gender differences in learning Mathematics; however, inconclusive results were obtained. In Hong Kong, research on gender differences is scarce but most scholars have reported that boys are better at learning Mathematics when compared with girls. The present study aims to explore gender differences in learning Mathematics using data from PISA 2003 by adopting self-regulated learning theory. Significant differences in effects of gender on Mathematics achievements were found in the domain of space and shape, change and relationships, and quantity by regression. All the results were in favour of boys significantly except in the domain of uncertainty.;To further investigate the gender effect on Mathematics achievements, three sets of concepts generated from self-regulated learning theory were input into the causal models as mediating variables. The first set of variables was the personal variables, including intrinsic motivation, instrumental motivation, self-efficacy, self-concept, and anxiety. They were added to the causal models to explore the gender effect. The results showed that all the values of direct effects of gender were positive and were statistically significant except in the domain of quantity. All the values of indirect effects of gender were negative and were statistically significant. Three behavioral variables, including control strategies, elaboration, and memorization were added to the causal models. The results showed that all the values of direct effects of gender on the achievements were negative and are statistically significant except in the domain of uncertainty and all the values of indirect effects of gender on the achievements were positive but none of the them was statistically significant. Two environmental variables, namely competitive learning preference and cooperative learning preference; were added to the causal models for exploring the gender effects. The results showed that the values of direct effects of gender were negative in all other three domains except in the domain of uncertainty and the results were statistically significant in the domain of space and shape and the domain of quantity. All the values of indirect effects of gender were negative but only in the domain of space and shape, the result was statistically significant.;Lastly, all the variables were incorporated in one causal model to verify the relative effects among the three sets of variables in the self-regulated learning theory. The results showed that there were no consistent results in direct effect of gender on the four domains. The value of direct effect of gender was negative and was statistically significant in the domain of quantity, which means that the direct effect of gender was significantly in favor of males in the domain of quantity. But, the direct effect of gender was positive and was statistically significant in the domain of uncertainty, it showed that it was significantly in favor of females in the domain of uncertainty; while no significant direct effect of gender in the remaining two domains. However, consistent results were obtained in indirect effect across the four domains. The values of indirect effects of gender on the achievements were all negative and were statistically significant in all four Mathematics domains. Therefore, there is no evidence that Mathematics achievements have been influenced directly by gender but differences existed in the learning styles, preferences and processes. In fact, all these factors are changeable. Effort can be put to make the change and also improve students' learning. Through this study, unidirectional relationships among the personal factors, behavioral factors and environmental factors in theory of self-regulated learning were supported by empirical evidence.
机译:许多西方研究调查了学习数学中的性别差异。然而,没有定论的结果。在香港,关于性别差异的研究很少,但大多数学者报告说,与女孩相比,男孩在数学方面的学习更好。本研究旨在通过采用自我调节的学习理论,利用PISA 2003的数据探索数学学习中的性别差异。在空间和形状,变化和关系以及数量回归方面,发现性别对数学成绩的影响存在显着差异。除不确定性领域外,所有结果均显着地有利于男孩。为了进一步研究性别对数学成绩的影响,将自调节学习理论产生的三组概念作为中介变量输入因果模型中。第一组变量是个人变量,包括内在动机,工具动机,自我效能感,自我概念和焦虑。将它们添加到因果模型以探讨性别效应。结果表明,性别的直接影响的所有值都是正的,并且在数量方面具有统计学意义。性别间接影响的所有值均为负值,具有统计学意义。三种行为变量,包括控制策略,阐述和记忆,被添加到了因果模型中。结果表明,除了不确定性范围外,性别对成就的直接影响的所有值均为负,并且在统计上具有显着意义;性别对成就的间接影响的所有值均为正,但均无统计学意义。两个环境变量,即竞争性学习偏好和合作性学习偏好;被添加到探索性别效应的因果模型中。结果表明,除了不确定性领域外,性别的直接影响在所有其他三个领域中均为负值,在空间和形状领域以及数量领域中,结果具有统计学意义。性别的间接影响的所有值均为负,但仅在空间和形状的范围内,结果具有统计学意义。最后,将所有变量纳入一个因果模型以验证三组变量之间的相对影响。自我调节的学习理论。结果表明,性别对这四个领域的直接影响没有一致的结果。性别的直接影响的价值为负,在数量方面具有统计学意义,这意味着性别的直接影响在数量方面显着有利于男性。但是,性别的直接影响是积极的,并且在不确定性方面具有统计学意义,表明性别在不确定性方面显着有利于女性。而在其余两个领域中,性别没有明显的直接影响。但是,在四个领域的间接影响中获得了一致的结果。性别对成绩的间接影响值均为负值,在所有四个数学领域中均具有统计学意义。因此,没有证据表明数学成绩直接受到性别的影响,但是学习风格,偏好和过程存在差异。实际上,所有这些因素都是可变的。可以做出改变,也可以提高学生的学习水平。通过这项研究,在自我调节学习理论中,个人因素,行为因素和环境因素之间的单向关系得到了经验证据的支持。

著录项

  • 作者

    Mak, Hok Kiu Edward.;

  • 作者单位

    The Chinese University of Hong Kong (Hong Kong).;

  • 授予单位 The Chinese University of Hong Kong (Hong Kong).;
  • 学科 Education Mathematics.
  • 学位 Ed.D.
  • 年度 2011
  • 页码 315 p.
  • 总页数 315
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:44:33

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号