人工智能赋能生物教学：现状、挑战与未来

Empowering Biology Teaching with Artificial Intelligence: Current Status, Challenges, and Future Directions

摘要: 本文深入探讨了人工智能在生物教学领域的应用现状、面临的挑战及优化策略。对人工智能在教育中的分类进行了系统梳理，重点分析了生成式和交互式人工智能在生物教学中的具体应用，并通过案例展示了其在基础教育和高等教育中的实践效果。研究指出，尽管人工智能对教学效率的提高以及对学习体验的改善之外，但还存在着数据安全、算法伦理、教师角色变化、学生思维片面化等问题，并提出技术突破、治理规范、角色重构的对策建议，以期为教育改革背景下的人工智能的合理使用提供参考，推动生物教学的数字化转型。

Abstract: This paper delves into the current applications, challenges, and optimization strategies of artificial intelligence in the field of biology education. It systematically categorizes AI’s role in education, with a focus on the specific uses of generative and interactive AI in biology teaching, and illustrates their practical effects in both basic and higher education through case studies. The research indicates that while AI significantly enhances teaching efficiency and improves the learning experience, it also introduces issues such as data security, algorithmic ethics, shifts in the teacher’s role, and the risk of superficial student thinking. In response, the paper proposes strategies involving technological breakthroughs, governance standardization, and role reconfiguration, aiming to provide a reference for the appropriate use of AI in the context of educational reform and to promote the digital transformation of biology teaching.