高中平面向量深度学习水平现状调查及策略研究——基于SOLO分类理论
Survey and Strategy Research on the Current Situation of High School Plane Vector Deep Learning Level—Based on SOLO Classification Theory

深度学习可以满足学生批判思维和创新能力发展的需要，形成核心素养。文章借助SOLO分类理论评价高中生平面向量深度学习的水平，调查发现，大部分高中生在平面向量的概念、坐标运算和应用知识上深度学习水平不高，原因在于概念理解浮于表面、知识整合与迁移能力欠缺。促进学生深度学习的策略有：重视概念本质，教师机械记忆；强调知识生产过程，夯实基础；引导知识迁移，跳出思维定势。
Deep learning can meet the needs of students in developing critical thinking and innovative abilities, forming core competencies. The article uses SOLO classification theory to evaluate the level of deep learning of plane vectors among high school students. A survey found that most high school students have a low level of deep learning in the concepts, coordinate operations, and application knowledge of plane vectors. The reason is that concept understanding is superficial, and the ability to integrate and transfer knowledge is lacking. Strategies to promote deep learning for students include: valuing the essence of concepts and teachers mechanically memorizing them; emphasizing the process of knowledge production and solidifying the foundation; guiding knowledge transfer and breaking free from fixed thinking patterns.