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A Multi-Stakeholder Perspective of Analytics for Learning Design in Location-Based Learning

机译:基于位置学习学习设计的分析的多利益相关方视角

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摘要

Promoted by the growing access to mobile devices and the emphasis on situated learning, location-based tools are being used increasingly in education. Multiple stakeholders could benefit from understanding the learning and teaching processes triggered by these tools, supported by data analytics. For instance, practitioners could use analytics to monitor and regulate the implementation of their learning designs (LD), as well as to assess their impact and effectiveness. Also, the community around specific tools-such as researchers, managers of educational institutions, and developers-could use analytics to further improve the tools and better understand their adoption. This paper reports the co-design process of a location-based authoring tool that incorporates multi-stakeholder analytics for LD features. It contributes to the research community through a case study that investigates how analytics can support specific LD needs of different stakeholders of location-based tools. Results emphasise opportunities and implications of aligning analytics and LD in location-based learning.
机译:通过越来越多的移动设备获得和强调位于地位的学习,基于位置的工具的推动促进,越来越多地在教育中使用。多个利益相关者可以从理解这些工具触发的学习和教学过程中受益,这些工具由数据分析支持。例如,从业者可以使用分析来监测和规范他们的学习设计(LD)的实施,以及评估其影响和有效性。此外,特定工具周围的社区 - 例如研究人员,教育机构的管理人员和开发人员 - 可以使用分析来进一步改善工具,更好地了解他们的采用。本文报告了基于位置的创作工具的共同设计过程,其中包含了LD功能的多利益相关方分析。它通过案例研究促进了研究社区,调查分析方法如何支持基于位置的工具的不同利益相关者的特定LD需求。结果强调基于位置的学习中对齐分析和LD的机会和含义。

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