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财经院校人工智能基础课程思政建设探索 被引量:1

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摘要 人工智能基础课程在财经院校通识教育课程体系中占据重要地位,对于财经院校交叉学科建设以及复合型人才培养都具有重要意义。该文以浙江财经大学为例,通过分析人工智能基础课程建设的现状与存在的问题,基于思政元素融入、教学模式改革和教学效果评价等视角,提出人工智能基础课程思政的建设路径与策略,从而实现课程思政视域下知识传授、能力培养、价值引领的教学目标。 The course of Fundamentals of Artificial Intelligence plays a crucial role in the general education curriculum of economics and finance schools,and is of great significance for the construction of interdisciplinary fields and the cultivation of compound talents.This paper takes Zhejiang University of Finance and Economics as an example,and analyzes the current situation and existing problems of the construction of the course of Fundamentals of Artificial Intelligence.Based on the perspectives of integrating ideological and political elements,reforming teaching modes,and evaluating teaching effects,the construction path and strategies of ideological and political education for the course of Fundamentals of Artificial Intelligence are proposed to achieve the objectives of knowledge impartation,ability cultivation,and value guidance from the view of ideological and political education.
作者 林剑 谢凤华
出处 《高教学刊》 2024年第27期45-48,共4页 Journal of Higher Education
基金 浙江省第一批省级课程思政教学项目“课程思政视域下《人工智能基础》教学改革与实践”(浙教函〔2021〕47号) 浙江省自然科学基金项目“产品伤害危机情境下基于社群营销的企业服务补救对顾客宽恕的影响机理研究”(LY22G020009)。
关键词 人工智能基础 课程思政 建设路径 财经院校 教学模式 Fundamentals of Artificial Intelligence curriculum ideology and politics construction path financial colleges and universities teaching mode
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