人工智能(AI)賦能普通植物病理學(xué)創(chuàng)新實(shí)驗(yàn)課程教學(xué)改革探索

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關(guān)鍵詞生成式人工智能;普通植物病理學(xué);AI賦能教學(xué);生物實(shí)驗(yàn)

中圖分類號(hào) G642.0;S432.1 文獻(xiàn)標(biāo)識(shí)碼A 文章編號(hào) 1007-7731（2025）14-0129-05

DOI號(hào)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技術(shù)，尤其是生成式人工智能，不僅為數(shù)據(jù)驅(qū)動(dòng)的個(gè)性化、協(xié)作式學(xué)習(xí)提供了簡(jiǎn)便易用的工具，也推動(dòng)了高等教育“數(shù)字化"教學(xué)方式的改革。（剩余6019字）