“人工智能+”赋能香料香精品控学课程建设研究  

Research on the Course Construction of "Artificial Intelligence+" Empowering Fragrance and Fragrance Quality Control Course

作　　者：来苗 武志勇 姬小明[1] LAI Miao;WU Zhiyong;JI Xiaoming

机构地区：[1]河南农业大学烟草学院,郑州450046

出　　处：《高教学刊》2024年第33期1-4,共4页Journal of Higher Education

基　　金：2023年度河南省自然科学基金青年科学基金项目“基于非金属催化的Heyns化合物有机合成及其热加工风味形成机制”(232300421257);河南省高等教育学会2021年度河南省高等教育研究项目“产教融合协同育人模式下人才评价体系研究”(2021SXHLX201);河南省教育科学规划2024年度一般课题立项“现代产业学院产教融合协同育人机制研究与实践”(2024YB0033)。

摘　　要：香料香精品控学是香料香精技术与工程专业的一门专业必修课,在人才培养中占有重要地位。该文针对当前教学存在的知识点分散、个性化学习不足和安全性评价实验受限等问题,提出基于知识图谱和AI的创新教学方法。通过构建知识图谱、实施AI助手以及创建虚拟实验室,提高教学质量和学生学习体验,并为相关课程提供可资借鉴的教学研究参考。AI技术在香料香精技术与工程专业课程教学中展现出显著优势,有助于培养高素质人才并推动专业创新。尽管面临存储资源支持、技术更新和数据安全挑战,但AI技术在教学领域的潜力巨大,有助于推动教育行业的创新与发展。Fragrance and Fragrance Quality Control course is a required professional course for the Fragrance and Fragrance Technology and Engineering major and plays an important role in talent training.This paper proposes an innovative teaching method based on knowledge graphs and AI to address the existing problems of scattered knowledge points,insufficient personalized learning,and limited safety evaluation experiments in current teaching.By building knowledge graphs,implementing AI assistants,and creating virtual laboratories,the quality of teaching and student learning experience are improved,and teaching implementation plans that can be used as reference for relevant courses are provided.AI technology has shown significant advantages in the teaching of flavor and fragrance technology and engineering courses,helping to cultivate high-quality talents and promote professional innovation.Despite facing storage resource support,technological updates and data security challenges,AI technology has great potential in the teaching field and helps promote innovation and development in the education industry.

关 键 词：人工智能 知识图谱 香料香精品控学 教学模式 教学探究 

分 类 号：G642[文化科学—高等教育学]