基于SOLO分类理论的高中数学分层作业设计研究——以“随机变量及其分布”单元为例
Research on Hierarchical Assignment Design of High School Mathematics Based on SOLO Classification Theory—Taking the “Random Variables and Their Distributions” unit as an Example

在“双减”政策的指导下，中学数学作业的设计需要更加精细和科学。SOLO分类理论作为一种广泛应用的教学理论，在提高教育教学效率方面起着重要的作用。本文基于SOLO分类理论的多层次架构，以“随机变量及其分布”课程内容为例，通过对高中数学课中、课外、单元测验三方面的递进式的作业内容设计，减少学生课业负担的同时增强其能力培养，以促进作业设计的革新。同时，提升数学作业的适应性、针对性、反馈性、多样性。
Under the guidance of the “double reduction” policy, the design of middle school math homework needs to be more precise and scientific. As a widely used teaching theory, SOLO classification theory plays an important role in improving the efficiency of education and teaching. Based on the multi-level framework of SOLO classification theory, this paper takes the course content of “Random Variables and their Distribution” as an example, and through the progressive homework content design of middle, extra-curricular and unit tests in high school mathematics classes, reduces students’ homework burden and enhances their ability training, so as to promote the innovation of homework design, at the same time, improve the adaptability, pertinence, feedback and diversity of math homework.