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    智能技术赋能网络学习空间: 锚点定位、模型重构与价值探求

    Intelligent Technology Enables Online Learning Space: Anchor Point Positioning , Model Reconstruction and Value Exploration

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【作      者】:

唐烨伟, 沈玉涵, 赵一婷, 庞敬文, 钟绍春


【关 键 词 】:

智能技术; 网络学习空间; 锚点定位; 模型构建; 价值


【栏      目】:

学习环境与资源


【中文摘要】:

人工智能技术的转段升级为网络学习空间的智慧发展提供了重要契机,智能时代背景下重构网络学习空间对持续推动教育教学生态革新具有重要意义。文章立足于智能技术赋能网络学习空间的发展诉求,将其重构目标定位于教与学组织样态重构、人才培养新模式构建、资源服务供给新模式建设、智能导引个性化学习和促进知识深度学习五个方面,基于锚点要求,从智能技术视角、学习者视角、教学及管理视角、学习资源视角出发构建了网络学习空间SPDE模型,并阐述了其核心功能与模型结构,最后针对重构的网络学习空间新模型进行了价值探求,重构之后的网络学习空间有助于重塑教学环境的泛在化、促进教学活动的智能化、服务教育资源的体系化、支持学习路径的动态化。


【英文摘要】:

The transformation and upgrading of artificial intelligence technology provides an important opportunity for the intelligent development of online learning space. Under the background of intelligent era, the reconstruction of online learning space is of great significance to continuously promote the innovation of education and teaching ecology. Based on the demand for the development of intelligent technology-enabled online learning space, this paper sets its reconstruction objectives in five areas: reconstructing the organizational pattern in teaching and learning organitalent training, constructing a new model of resource service supply, intelligently guiding personalized learning and promoting deep knowledge learning. Based on the requirements of anchor points, the SPDE model of online learning space is constructed from the perspectives of intelligence technology, learners, teaching and management, learning resources, and its core functions and model structure are elaborated. Finally, the value of the new model of the reconstructed online learning space is explored, which helps to reshape the ubiquity of the teaching environment, promote the intelligence of teaching activities, systemize the service educational resources, and support the dynamic learning path.zation, building a new model of

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