人工智能在微藻生物技术教学创新应用与前景探讨  

Exploring the Innovative Applications and Prospects of Artificial Intelligence in Microalgae Biotechnology Education

作　　者：万民熙 俞涛 王伟良 WAN Min-xi;YU Tao;WANG Wei-liang(School of Biotechnology,East China University of Science and Technology,Shanghai,200237,China;State Key Laboratory of Bioreactor Engineering,Shanghai,200237,China)

机构地区：[1]华东理工大学生物工程学院,上海200237 [2]生物反应器工程国家重点实验室,上海200237

出　　处：《现代生物医学进展》2025年第6期1086-1096,共11页Progress in Modern Biomedicine

基　　金：上海市东方英才计划青年项目资助(2023年大赛平台)。

摘　　要：目的:探讨人工智能(Artificial Intelligence,AI)在微藻生物技术教学中的创新应用与发展前景,并提出基于AI的教学改革方案,以提升学生的跨学科能力、创新思维及实验设计能力,推动课程现代化与教学质量提升。方法:通过文献综述、理论分析和案例研究,评估AI技术在微藻生物技术教学中的应用潜力,重点分析其在虚拟实验、数据分析、个性化学习和跨学科合作等方面的优势。基于AI赋能的模块化课程设计、跨学科协作、贯通式实践课程和多元化评估方式,提出具体的教学改革框架。结果:AI技术通过智能推荐系统、虚拟实验平台和实时数据分析等手段,能够实时更新课程内容,优化实验设计,并提供个性化学习路径,帮助学生更好地理解微藻生物技术的原理与应用。通过跨学科合作和项目驱动学习,学生能够提升解决复杂问题的能力。AI还能够实现对学生的多元化评估,帮助教师实时调整教学内容,促进学生的全面发展。结论:AI技术为微藻生物技术教育提供了新的教学方法和手段,不仅有助于提升学生的跨学科综合能力和创新思维,还能推动课程内容的动态更新。未来研究可以进一步探索AI技术在不同教学环境中的适应性,为培养复合型、跨学科人才提供有力支持。本文的研究成果不仅推动了微藻生物技术教育的创新,也为其他技术课程的教学改革提供了可借鉴的经验与理论支持。Objective:To explore the innovative applications and future prospects of artificial intelligence(AI)in microalgae biotechnology education and propose AI-driven teaching reform strategies to enhance students'interdisciplinary skills,innovative thinking,and experimental design abilities,thereby modernizing the curriculum and improving teaching quality.Methods:Through literature review,theoretical analysis,and case studies,this study evaluates the potential applications of AI technology in microalgae biotechnology education,with a focus on its advantages in virtual experiments,data analysis,personalized learning,and interdisciplinary collaboration.Based on AI-driven modular curriculum design,interdisciplinary cooperation,integrated practice-based courses,and diversified assessment methods,a specific framework for teaching reform is proposed.Results:AI technology,through intelligent recommendation systems,virtual experiment platforms,and real-time data analysis,enables real-time updates of course content,optimizes experimental design,and provides personalized learning pathways,helping students better understand the principles and applications of microalgae biotechnology.Through interdisciplinary collaboration and project-based learning,students can enhance their ability to solve complex problems.Additionally,AI facilitates diversified student assessments,allowing teachers to adjust instructional content in real time and promote students'holistic development.Conclusion:AI technology provides new teaching methods and approaches for microalgae biotechnology education,enhancing students'interdisciplinary competence and innovative thinking while enabling dynamic course content updates.Future research can further explore the adaptability of AI technology in different educational environments,offering strong support for cultivating interdisciplinary and multi-skilled talent.The findings of this study not only drive innovation in microalgae biotechnology education but also provide valuable insights and theoretical support fo

关 键 词：人工智能 微藻生物技术 虚拟实验 教学改革 创新能力 

分 类 号：R3[医药卫生—基础医学] G642.0[文化科学—高等教育学]