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首页> 外文期刊>Journal of Information Systems Engineering and Management >Analytics of biometric data from wearable devices to support teaching and learning activities
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Analytics of biometric data from wearable devices to support teaching and learning activities

机译：来自可穿戴设备的生物特征数据分析，以支持教学活动

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This paper introduces the preliminary results of a piece of research whose main purpose is to take advantage of data collected from wearable devices to support learning processes. This goal is approached through the application of learning analytic techniques. The innovation point is the use of data collected from wearables, that will be used in conjunction with data collected from other sources (e.g. Learning Management Systems, Student Information Systems). The paper reviews the results achieved during the last year about the relationships among biometric data collected from wearables and relevant features described in the educational literature. In this way sleep and stress have been identified as interesting areas that could be informed from data collected in wearables and processed by applying machine learning techniques. Our preliminary results show some initial promising results that need further validation, also these results show an interesting opportunity to support awareness and intervention functionalities.
机译：本文介绍了一项研究的初步结果，其主要目的是利用从可穿戴设备收集的数据来支持学习过程。通过学习分析技术的应用可以达到这个目标。创新点是使用从可穿戴设备收集的数据，该数据将与从其他来源（例如学习管理系统，学生信息系统）收集的数据结合使用。本文回顾了去年从可穿戴设备收集的生物识别数据与教育文献中描述的相关特征之间的关系所取得的成果。通过这种方式，睡眠和压力已被确定为有趣的领域，可以从可穿戴设备中收集的数据中了解这些信息，并通过应用机器学习技术对其进行处理。我们的初步结果显示了一些有希望的初步结果，需要进一步验证，这些结果也显示出一个有趣的机会来支持意识和干预功能。

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