使用数字教科书或印刷材料:男生和女生的条件概率研究

ZDM Pub Date : 2024-01-23 DOI:10.1007/s11858-023-01543-x
Maxim Brnic, Gilbert Greefrath, Frank Reinhold
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引用次数: 0

摘要

摘要 动态可视化、反馈格式和数字工具的整合是最先进的数字数学教科书的特点。尽管已有证据表明,学生在学习中可以从这些基于技术的功能中获益,但尚未对使用类似的数字资源和印刷资源进行充分的直接比较。为了填补这一研究空白,我们将使用包含这些功能的增强型数字教科书与不包含这些功能的同类印刷材料进行了对比。为此,我们采用前测-后测对照组设计,调查了 314 名学生在五小时的条件概率系列课程中的成绩。通过使用拉施模型和混合方差分析,结果表明学生可以从数字教科书的功能中获益,尤其是与使用同类印刷材料相比。与其他有关数学成绩和数字资源使用的研究一样,我们的研究也显示了男生和女生之间的差异。似乎女生尤其能从使用数字教科书中获益,而对于男生来说,使用哪种资源似乎并无差别。我们在其他研究的背景下讨论了群体和性别差异,认为特别是在贝叶斯情况下,统计情况的可视化方式可能对学生的成绩起决定性作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Working with digital textbooks or printed materials: A study with boys and girls on conditional probability

Working with digital textbooks or printed materials: A study with boys and girls on conditional probability

Abstract

The integration of dynamic visualisations, feedback formats and digital tools is characteristic of state-of-the-art digital mathematics textbooks. Although there already is evidence that students can benefit from these technology-based features in their learning, the direct comparison between the use of a comparable digital and printed resource has not yet been sufficiently investigated. We address this research gap by contrasting the use of an enriched digital textbook that includes these features and comparable printed materials without them. To do so, we investigate the achievement of 314 students in a pretest-posttest control group design in a five-hour series of lessons on conditional probability. Using the Rasch model and mixed ANOVA, the results indicate that students can benefit from digital textbook features, especially compared to the use of comparable printed materials. In line with other studies on mathematical achievement and the use of digital resources, our study also shows differences between boys and girls. It seems that particularly girls benefit from the use of the digital textbook, whereas, for the boys, it does not seem to make a difference what kind of resources they use. The group and gender differences are discussed against the background of other studies considering that, especially in Bayesian situations, the way statistical situations are visualised can be decisive for a student’s performance.

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