为未来教育情景生成的设计流程

 Alessandro Manetti, Barcelona (西班牙)

 Pablo Lara-Navarra, Barcelona (西班牙)

 Jordi Sánchez-Navarro, Barcelona (西班牙)

https://doi.org/10.3916/C73-2022-03

关键词

教育、未来研究、设计、混合方法、数据挖掘、趋势

摘要

本文汇集了对未来和设计方法的研究，为教育领域的前瞻性分析提出了一个新的建议。我们将混合研究方法与设计方法相结合，为研究未来情景中趋势的演变、影响和行为开辟了新途径。我们的研究基于对来自次级资料的定性数据的分析和对专家的采访，我们使用适用于不受控制的互联网数据环境的模糊逻辑模型将其转化为定量数据。我们的目标是验证 DEFLEXOR 方法的有效性，该方法解决了根据使用在各个领域检测到的大趋势定义的未来场景来识别教育机会的需求。我们的结论强调，将定性和定量方法与设计思维的方法论原则相结合，与专家创造性反思的自动计算的使用共存，构成了开发特定前瞻性研究的强大方法论结构。

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Fundref

Research Group on Learning, Media and Environment (Spanish acronym GAME) (2017 SGR 293). This research is part of the project titled Una propuesta de herramienta para el análisis y la planificación estratégica de innovación basada en el estudio de macrotendencias y en metodologías de diseño (A Proposed Tool for Analysing and Strategically Planning Innovation Based on the Study of Macrotrends and on Design Methodologies) (2018 DI 031), funded by the University Grants Management Agency of the Government of Catalonia.

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技术信息

收到: 27-02-2022

修订: 05-04-2022

公认: 12-05-2022

OnlineFirst: 30-06-2022

发布日期: 01-10-2022

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