AI驱动的高中生物学数字化教学优化策略研究——以《分子与细胞》为例

Research on Optimization Strategies for AI-Driven Digital Teaching of High School Biology—A Case Study of “Molecules and Cells”

摘要: 随着数字化技术的飞速发展，推进现代信息化数字化教育势在必行。基于高中生物学具有生命现象复杂、微观知识抽象、实验实践性强等特点，本文深入剖析了高中生物实际教学中数字化技术应用不充分导致诸多问题出现，例如数字化资源简单堆砌，知识网络难建立；个性化教学不足，学生学习兴趣不高；数字化资源运用不系统，全方位学习受限；教学评价失衡，教学全貌难洞悉。此外，针对以上高中生物教学中存在的问题，本文以人教版必修1《分子与细胞》为研究载体，从搭建AI智能体软件，重塑人机协同的课堂形态结构，数智赋能多维融合，重构多元评价体系四个方面提出了优化策略，以期推动数字化技术与高中生物学教学深度融合，提升教学能效，为现代数字化赋能高中生物教学提供新策略。

Abstract: With the rapid development of digital technology, it is imperative to promote modern information-based and digital education. Based on the characteristics of high school biology, which include the complexity of life phenomena, the abstractness of microscopic knowledge, and the strong experimental and practical nature, this article delves into the numerous problems that arise in high school biology teaching due to the insufficient application of digital technology. For example, the mere accumulation of digital resources makes it difficult to establish a knowledge network; personalized teaching is insufficient, and students’ interest in learning is low; the use of digital resources is not systematic, limiting comprehensive learning; teaching evaluations are unbalanced, making it difficult to gain a full understanding of the teaching process. In addition, addressing the aforementioned issues in high school biology teaching, this paper takes the Renjiao Edition Compulsory 1 textbook “Molecules and Cells” as the research medium, optimization strategies are proposed from four aspects: building AI intelligent agent software, reshaping the structure of human-computer collaborative classroom forms, empowering multi-dimensional integration with digital intelligence, and reconstructing a diversified evaluation system. In order to promote the deep integration of digital technology and high school biology teaching, enhance teaching efficiency, and provide new strategies for empowering high school biology teaching with modern digitalization.