人工智能背景下化学生物学教学的机遇、挑战与跨学科融合

Opportunities, Challenges, and Interdisciplinary Integration in Chemical Biology Education in the Era of Artificial Intelligence

摘要: 随着人工智能(AI)技术的突破性发展和广泛应用，教育智能化正深刻改变化学生物学的教学模式及研究范式。作为化学与生物学交叉的前沿学科，AI为化学生物学教学提供创新路径的同时也对其提出了新的更高的要求。一方面，AI已成为化学生物学教学研究的重要工具，展现出整合多学科与技术、推动研究范式转变的显著潜力；另一方面，需要思考如何合理且高效地利用AI，避免其滥用、错用及可能引发的过度依赖性。基于此，本文首先系统地梳理当前AI在化学生物学教学中的主要应用范例，随后分析AI可能带来的学术诚信与依赖性等挑战，最后探讨了AI在推动化学生物学教学的跨学科融合教学方面的发展潜力与实施路径。旨在平衡AI带来的机遇与挑战，推动AI与化学生物学教学的深度融合与可持续发展。

Abstract: With the breakthrough development and widespread application of artificial intelligence (AI) technology, intelligent education is profoundly changing the teaching models and research paradigms of chemical biology. As a cutting-edge interdisciplinary field at the intersection of chemistry and biology, AI provides innovative pathways for chemical biology teaching while also posing new and higher demands. On the one hand, AI has become an important tool for chemical biology education and research, demonstrating significant potential to integrate multiple disciplines and technologies and drive a shift in research paradigms. On the other hand, it is necessary to consider how to use AI rationally and efficiently, avoiding its abuse, misuse, and potential over-reliance. Based on this, this paper first systematically reviews the main application paradigms of AI in current chemical biology teaching, then analyzes the challenges that AI may bring, such as academic integrity and dependence, and finally explores the development potential and implementation paths of AI in promoting interdisciplinary integration in chemical biology teaching. The aim is to balance the opportunities and challenges brought by AI and promote the deep integration and sustainable development of AI and chemical biology teaching.