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Governance of Social Networks in the educational context analyzed through Power BI: Case Study Students belonging to the Pio Jaramillo Alvarado Institution

机译:通过Power BI的教育背景下的社交网络治理:案例研究所属于Pio Jaramillo Alvarado机构

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This investigation aims to study the skills, creativity, interactivity, work team, individual and colaborative learning, and also to distinguish distractions, additions, data and information vulnerability among others itens. Social networks currently play a leading role; through its use it allows the interaction between family members, acquaintances and friends, becoming one of the strongest pillars when it comes to communication. Likewise it should be considered that its excessive use leads to problems such as: addiction, involuntary loss of control, family separation, unemployment, eating disorders, low school grades in the case of adolescents, among others, therefore facing these concerns is meritorious through this research to know through a structural analysis the influence and governance of social media in the adolescents of Pio Jaramillo Alvarado; With the results obtained, short, medium and long term solutions are proposed to raise awareness of the appropriate use; the research procedure is governed by four sequential scenarios; It begins with: the collection of information to identify central problems of attention, then surveys are applied to students and parents; Subsequently, the tabulation of data is performed and based on the results, the ideal solutions for its use are proposed. The research contribution is subject to the use of tools and techniques of data analysis, considering the first the use of surveys and secondly, the analysis of data through Power BI software.
机译:这项调查旨在研究技能,创造力,互动,工作团队,个人和覆素质学习,以及区分分支,添加,数据和信息漏洞等人类。社交网络目前发挥着主导作用;通过它使用它允许家庭成员,熟人和朋友之间的互动,成为沟通时最强大的柱子之一。同样,应该认为其过度使用导致问题:成瘾,非自愿丧失控制,家庭分离,失业,饮食障碍,在青少年的情况下,低中毕业等级,因此面临这些关注的人通过这一疑虑通过结构分析,通过结构分析,Pio Jaramillo Alvarado青少年社会媒体的影响和治理;通过获得的结果,提出了短,中和长期解决方案,以提高对适当使用的认识;研究程序受到四种连续情景的管辖;它始于:收集信息,以确定关注的核心问题,然后调查适用于学生和父母;随后,提出了基于结果的数据标记,并提出了其使用的理想解决方案。研究贡献符合数据分析的工具和技术,考虑到第一次使用调查,其次,通过Power BI软件分析数据。

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