在教育领域使用活动跟踪器进行分析

Ankit Sharma, Udita Prajapati, Vivekanandan S. Kumar, Kinshuk
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引用次数: 1

摘要

今天,活动追踪器被用作以生理数据形式跟踪、监测和量化健康方面的主要工具。这种可穿戴式追踪器可以有效地应用于医疗保健以外的其他领域。本文展示了如何使用活动跟踪器创建一个实时应用程序,用于家长和学校/学院当局监控学生的活动,从而推断学生是否实际出现在课堂上。各种活动跟踪器提供自己的应用程序编程接口(API),以允许第三方应用程序从其服务器访问用户的数据。其他数据集,如周围噪音水平和学生的位置,与学生的步数结合使用,以产生实时推断。这篇研究论文给出了如何在教育领域使用活动跟踪器的见解,从而为该领域的数据分析和预测提供了巨大的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analytics Using Activity Trackers in the Field of Education
Today activity trackers are used as a major tool for tracking, monitoring, and quantifying health aspects in the form of physiological data. Such wearable trackers can be efficiently utilised in other fields apart from healthcare. This paper shows how an activity tracker can be used to create a real time application for monitoring the activity of a student by parents as well as school/college authority thereby deducing whether the student is actually present in the class or not. Various activity trackers provide an Application Programming Interface (API) of their own to allow a third party application to access user's data from their server. Other data sets like surrounding noise level and location of the student have been used in combination with the step count of the student to produce real time inferences. This research paper gives an insight of how activity trackers can be utilised in the field of education thereby opening vast opportunities of data analysis and prediction in this field.
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