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人工智能赋能高校创业教育:技术逻辑、风险挑战与行动策略 被引量:4

Artificial Intelligence Empowers Entrepreneurship Education in Universities:Technical Logic,Risk Challenges and Action Strategies
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摘要 依托以人工智能为代表的信息技术推动高校创业教育的双师课堂建设,是破解目前我国创业教育浅层化困境的有效途径,然而由于一系列主客观制约因素的存在,高校创业双师课堂的构建仍会面临授课内容失控、教学情境弱化、教师角色迷失、学习流于形式等风险挑战。基于此,研究运用行动者网络理论,对高校创业双师课堂构建过程中的问题呈现、利益赋予、成员征召、组织动员与异议排除五个环节进行系统分析,以期促进高校创业教育更加契合现代人才培养目标与经济社会发展需求。 Relying on the information technology represented by artificial intelligence to promote the construction of double-qualified teaching in entrepreneurship education in universities is an effective way to solve the dilemma of the entrepreneurship education in China.However,due to the existence of a series of subjective and objective constraints,the construction of the double-qualified teaching has met some risks and challenges such as the teaching content is out of coutrol,weakening of the teaching situation,the role of the teacher,learuing is mere formalety.Based on this,the paper uses the actor network theory to systematically analyze benefit assignment,member recruitment,organization mobilization,and objection elimination in the construction of in college entrepreneurship.The aim is to promote college entrepreneurship education to be more compatible with modern talent training goals and economic and social development.
作者 贺浩浩 杨毅 He Haohao;Yang Yi(School of National Governance;Chongqing Instituteof Cultural Industy,Southwest University,Chongqing 400715,China)
出处 《黑龙江工业学院学报(综合版)》 2020年第10期21-29,共9页 Journal of Heilongjiang University of Technology(Comprehensive Edition)
基金 重庆市高等教育教学改革研究项目“高校创新创业课程数字化教学支持体系研究”(项目编号:183161)。
关键词 人工智能 创业教育 双师课堂 教育信息化 行动者网络理论 artificial intelligence entrepreneurial education double-qualified teaching staff educational information actor network theory
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