人工智能(AI)赋能普通植物病理学创新实验课程教学改革探索

打开文本图片集

关键词生成式人工智能;普通植物病理学;AI赋能教学;生物实验

中图分类号 G642.0;S432.1 文献标识码A 文章编号 1007-7731（2025）14-0129-05

DOI号10.16377/j.cnki.issn1007-7731.2025.14.030

Exploration of teaching reform in Innovative Experimental of General Plant Pathology course empoweredbyartificial intelligence

ZHAO Zhibo WANG YongDING HaixiaCHEN Xiangru WEI Shan （College of Agriculture， Guizhou University， Guiyang 55oo25， China）

AbstractTo explore the innovative application of generative artificial intellgence in experimental practice teaching，the InnovativeExperimentalof GeneralPlantPathologycoursewas takenasthepractical field，andthe specificpath of AI empowering the collaborative application of“teacher-machine-student”in experimental practice teaching was explored.Through case comparison analysisand system design （AI），a“four-dimensional” application model framework covering AI interactive teaching platform，knowledge engine，innovative designassistant，and personalized evaluation was constructed，and multiple AI empowered experimental teaching activitieswere implemented.The specific path includes building an AI based interactive teaching platform，use the DeepSeek R1 model，and after layerby layer debugging，developing a Python based software for measuring the severityof plant leaf diseases，with an accuracy rate of 97 % ; utilize the functions of AI knowledge engine and innovative design assistant， it have developed small toos covering specific application scenarios such as disease investigation sampling diagrams， genome sequenceextraction，kiwifruitdisease imagerecognition mini programs，etc.;utilizeAItoimprovethefedback and full processevaluation mechanism，conduct full process assssment on students’experimental completion， innovative work design additional scores，and provide targeted guidance.Practice has shown that theactivity level， academicperformance，and innovativeoutputof students inAIasisted teaching classes havesignificantlyincreased， andthe developed tools have been applied to scientific research practice.Itcan effectively improve theefectivenesof experimental practice teaching.Thisarticle providesreferences forAI empowered teaching reform inagricultural

scienceandotherexperimentaldisciplines.

Keywords generative artificial intelligence； General Plant Pathology;AI empowered teaching；biological experiments

人工智能（AI技术，尤其是生成式人工智能，不仅为数据驱动的个性化、协作式学习提供了简便易用的工具，也推动了高等教育“数字化"教学方式的改革。（剩余6019字）