深度学习视野下小学数学教学中学生逻辑推理能力培养的问题与优化策略

Issues and Optimization Strategies for Cultivating Students’ Logical Reasoning Skills in Primary School Mathematics Teaching from the Perspective of Deep Learning

摘要: 逻辑推理能力是小学数学核心素养的重要组成部分，但在实际教学中其培养效果并不理想。本文从深度学习视角出发，首先分析了深度学习与逻辑推理能力的培养存在目标、过程、内容、方式四个层面的耦合关系，进而审视当前小学数学教学中存在的情境创设浅表化、知识教学碎片化、问题设计封闭化、评价反馈单一化等现实问题，最后针对性地提出深化情境创设、整合知识体系、优化问题设计、建立多元评价等优化策略。

Abstract: Logical reasoning ability is an important component of the core literacy in primary school mathematics. However, its cultivation effect in actual teaching is not satisfactory. From the perspective of deep learning, this paper first analyzes the coupling relationship between deep learning and the cultivation of logical reasoning ability at four levels: goals, processes, contents, and methods. Then, it examines the current practical problem in primary school mathematics teaching, such as superficial creation of scenarios, fragmented knowledge teaching, closed problem design, and single evaluation feedback. Finally, it proposes targeted optimization strategies such as deepening scenario creation, integrating knowledge system, optimizing problem design, and establishing multiple evaluations.