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人工智能赋能高职教学资源建设路径研究——基于联通主义的视角 被引量:12

Research on the Construction Path of Artificial Intelligence Empowering Higher Vocational Teaching Resources——From the Perspective of Connectivism
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摘要 数字化背景下,教学资源是中国高等职业教育智能化变革的核心要素之一,构建与智能教育高度适配的教学资源已是应然之举。联通主义视域下,现有高职教学资源的建设和应用存在生产模式单一、生长性较弱、连接和组织低效以及学习环境不够开放等困境。针对困境,提出基于教育知识图谱的“三阶段双角色”教学资源建构模型,通过“线上化—图谱化—智能化”三阶段,梳理“人类”和“人工智能”双角色的技术路线,充分发挥教师和学生的主观能动性,利用人工智能技术实现教学资源属性的升级跨越。基于此构建的教学资源,在个性化人才培养、专业与课程建设、课堂教学改革等方面都能够发挥更灵活、更精准、更智能的作用。 In digitization,teaching resources are one of the core elements of the intelligent transformation of higher vocational education in China.It is necessary to construct teaching resources that are highly compatible for intelligent education.From the perspective of connectivism,there are some problems in the construction and application of teaching resources in higher vocational education,such as single production mode,weak growth,low connection,inefficient organization,and closed learning environment.In response to the predicament,a“three-stage,dual-role”teaching resource construction model based on educational knowledge graph is proposed.Through the three stages of“online-mapping-intelligence”,the technical route of dual roles of “human”and“artificial intelligence”is clarified.The subjective initiative of teachers and students can be fully brought into play,and the attributes of teaching resources can be upgraded via artificial intelligence technology.Teaching resources based on this construction model can play a more flexible,more precise,and smarter role in personalized training,specialty and curriculum construction,and teaching reform.
作者 申睿 郭福春 吴金旺 Shen Rui;Guo Fuchun;Wu Jinwang
出处 《教育学术月刊》 CSSCI 北大核心 2022年第7期52-59,共8页 Education Research Monthly
基金 浙江省教育科学规划2020年度规划课题(高校)“人工智能赋能教学资源建设的路径研究——以互联网金融国家教学资源库为例”(编号:2020SCG265) 浙江省第一批课程思政示范课程项目“《金融科技概论》”(编号:95)。
关键词 教学资源 职业教育 知识图谱 联通主义 人工智能 teaching resources vocational education knowledge graph connectivism artificial intelligence
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