首页|智能技术赋能职业教育学习共同体的维度转变、模型建构与优化路径

智能技术赋能职业教育学习共同体的维度转变、模型建构与优化路径

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随着大数据处理、知识图谱和人机交互等智能技术与教育的创新融合,职业教育学习共同体突破了传统的模式,进入了一个全新的发展阶段.在此背景下,职业教育学习共同体的学习场域随之发生变化,从而促使职业教育学习共同体在知识维度、交互维度和情感维度三个方面发生转变.通过厘清职业教育学习共同体的构成要素,构建出情景创设、知识建构、社会交互和反馈评价四个阶段的学习共同体模型,同时,进一步提出结构融合"智能技术辅助真实境脉创设,提高职业教育知识内容的可视化程度"、主体交互"创建智慧学习交流平台,深化职业教育与企业主体的协同性发展"、环境浸润"在共同体内营造智慧学习氛围,强化职业教育学生的社会认知"三个方面的优化路径,以促进职业教育的高水平、高质量发展.
Model Construction and Optimization Path of Smart Technology Enabled Learning Community in Vocational Education
With the innovative integration of intelligent technologies such as big data processing,knowledge graphs and human-computer interaction with education,the vocational education learning community breaks through the traditional model and enters a completely new stage.In this context,the learning field of vocational education learning community changes accordingly,thus prompting the transformation in three aspects:knowledge dimension,interaction dimension and emotion dimension.On the basis of clarifying the constituent elements of the vocational education learning community,a four-stage learning community model of scenario creation,knowledge construction,social interaction and feedback evaluation is constructed,and at the same time,the structural integration of"intelligent technology assisting the creation of real-life situations to improve the visualization of the knowledge content of vocational education",the interaction of educational subjects"create a smart learning and communication platform to deepen the synergistic development of vocational education and enterprises",and environmental infiltration"create a smart learning atmosphere within the community to strengthen the social cognition of vocational education students"have been proposed,in order to promote the high-level and high-quality development of vocational education.

smart technologyvocational education learning communitymodel constructionoptimization path

杨珍珍

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喀什大学教育科学学院

智能技术 职业教育学习共同体 模型建构 优化路径

2024

职教通讯
江苏技术师范学院

职教通讯

影响因子:0.41
ISSN:1674-7747
年,卷(期):2024.(6)