Human behavior as the source of data in the education system

N. Almazova, D. Bylieva, V. Lobatyuk, A. Rubtsova
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引用次数: 21

Abstract

Information technologies are fundamentally changing modern society. Almost any human activity becomes the source of data for possible analysis and processing. The authors have analyzed more than hundred examples of data mining in modern society presented in open sources focusing on the field of education. In this study, the interdisciplinary approach is used. It makes possible to consider human activity as the basis for data analysis as the complex social phenomenon from the perspective of the sociology of communication and global Internet usage. At the same time, the authors note that the current development of technologies allows analyzing behavior of people not only in the Internet (online), but also in everyday life (offline) with the help of individual devices (cameras in smartphones and computers, fitness trackers, etc.) and with the use of facial recognition for various social situations. This study focuses on learning process and human behavior usage as the source of data in this area because information and communication technologies have changed the format of modern education. Therefore a significant part of education content has moved to the online environment. Integration of various data concerning e-learning, human movement, Biological Feedback can establish complex digital education model with prognostic and recommendatory functions that take into account behavior, individual characteristics, knowledge and skills in dynamics. This model supports a lifelong trajectory of personal development not limited by initial and final indicators and framework of educational institution. Nowadays technologies that allow tracking human behavior are causing discussions related to ethics and the issue of human freedom, though they provide deeper analysis of people's activities. Certainly these opportunities can be the benefit for society and miscellaneous social environment.
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将人的行为作为教育系统的数据来源
信息技术正在从根本上改变着现代社会。几乎任何人类活动都成为可能进行分析和处理的数据来源。作者分析了一百多个现代社会中以教育领域为重点的开放资源中的数据挖掘例子。本研究采用跨学科研究方法。这使得从传播社会学和全球互联网使用的角度将作为数据分析基础的人类活动视为复杂的社会现象成为可能。与此同时,作者指出,目前的技术发展不仅可以在互联网(在线)中分析人们的行为,还可以通过个人设备(智能手机和电脑中的摄像头,健身追踪器等)以及在各种社交场合使用面部识别来分析人们的日常生活(离线)。由于信息和通信技术改变了现代教育的形式,本研究的重点是学习过程和人类行为的使用作为这一领域的数据来源。因此,很大一部分教育内容已经转移到网络环境中。整合有关电子学习、人体运动、生物反馈的各种数据,可以建立具有预测和推荐功能的复杂数字教育模型,该模型考虑了行为、个体特征、动态知识和技能。这种模式支持个人的终身发展轨迹,不受教育机构的初始和最终指标和框架的限制。如今,追踪人类行为的技术正在引发有关伦理和人类自由问题的讨论,尽管它们提供了对人类活动的更深入的分析。当然,这些机会可以为社会和各种社会环境带来好处。
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