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DeepSeek驱动的《植物单宁化学及应用》“三段式”教学改革方案设计

DeepSeek-Driven Three-stage Teaching Reform Design in Plant Tannin Chemistry and Applications
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摘要 【目的】《植物单宁化学及应用》作为轻工类专业核心课程,存在学生基础参差且知识难以迁移到新兴领域的问题。教育数字化与新工科2.0战略的实施迫切要求该课程实现突破。【分析】提出以大语言模型DeepSeek为核心的“三段式”教学改革方案:通过智能诊断明确知识盲区,以AI生成的问题包精准补强基础知识,再由教师主导跨学科的高阶讨论,引导知识迁移与创新思维。【结论】该范式有望实现精准个性化教学,避免内容重复,激发学生跨学科创新热情,并为传统学科的数字化升级提供可推广的教学新模式。 [Objective]As a core course in light industry-related majors,Tannin Chemistry and Applications faces challenges such as content redundancy,uneven student knowledge levels,and difficulties in transferring knowledge to emerging fields.Driven by the dual imperatives of educational digitalization and the New Engineering 2.0 strategy,a transformative approach to the course is urgently needed.[Analysis]This paper proposes a three-stage teaching reform centered on the large language model DeepSeek,which involves diagnosing knowledge gaps through intelligent assessment,precisely reinforcing foundational knowledge via AI-generated problem sets,and facilitating interdisciplinary discussions led by instructors to enhance knowledge transfer and innovative thinking.[Conclusion]This paradigm is expected to deliver precision personalized instruction,eliminate content redundancy,spark students’enthusiasm for interdisciplinary innovation,and provide a replicable model for the digital upgrade of traditional disciplines.
作者 何云翔 蒋智成 郭俊凌 HE Yunxiang;JIANG Zhicheng;GUO Junling(College of Biomass Science and Engineering,Sichuan University,Chengdu 610065,China;Key Laboratory of Leather Chemistry and Engineering of Ministry of Education,Sichuan University,Chengdu 610065,China;National Engineering Laboratory for Clean Technology of Leather Manufacture,Sichuan University,Chengdu 610065,China)
出处 《皮革科学与工程》 北大核心 2026年第1期122-127,共6页 Leather Science and Engineering
基金 国家重点研发计划(2022YFA0912800) 国家海外高层次人才计划(00308054A1045) 国家自然科学基金(22178233,22408241)。
关键词 植物单宁化学及应用 DeepSeek 课程改革 数字赋能 个性化学习 tannin chemistry and applications DeepSeek-driven curriculum reform digitalization empowerment personalized learning
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