关键词

人工智能、大数据、教育、混合方法论、多模式、数字技术、社会平台、数字连接

摘要

数字技术带来的关联特性重置了我们对社会架构的理解。在人工智能(AI)和大数据方面,教育领域已重组其结构,以考虑人类和非人类参与者及其在数字平台上的行为。在这种日益复杂的情况下,该提案旨在介绍学术界或国际组织发布的有关AI和大数据的定义和讨论。对AI和大数据的研究超出了单纯的对计算/逻辑能力的探索,进而研究关于数字技术对教育的社会影响的科学领域,其难度可能较小,但也许更复杂。这项研究提出对21世纪技能的教育以及平台时代AI发展的影响进行分析,使用了方法论小组的三个轴心:研究,应用和评估。为了完成研究,我们进行了系统综述,书目研究和案例研究的质量分析,据此撰写了一份阐明人工智能和大数据的工作方式以及它们在教育领域的应用水平的立场文件。我们的目标是在多模式方法下提供三角模式分析,以更好地了解教育与新技术前景之间的关系。

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技术信息

收到: 27-02-2020

修订: 19-03-2020

公认: 27-04-2020

OnlineFirst: 15-06-2020

发布日期: 01-10-2020

文章修改时间: 21 天 | 期刊编号的平均时间修订 65: 36 天

文章接受时间: 59 天 | 期刊编号的平均接受时间 65: 78 天

预印本编辑时间: 171 天 | 期刊编号的平均编辑时间预印 65: 190 天

文章编辑时间: 216 天 | 期刊编号的平均编辑时间 65: 235 天

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被引用

引述 Web of Science

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引述 Scopus

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Bonami, B., Piazentini, L., & Dala-Possa, A. (2020). Education, Big Data and Artificial Intelligence: Mixed methods in digital platforms. [Educación, Big Data e Inteligencia Artificial: Metodologías mixtas en plataformas digitales]. Comunicar, 65, 43-52. https://doi.org/10.3916/C65-2020-04

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