高等教育层面大数据学习项目的分析、设计和创建:案例研究机构Tecnológico Superior de riverde, SLP

Omar Mendoza-González, Mónica Amador-García, Yurivia Torres-Meraz, Fabiola García-Padrón
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引用次数: 0

摘要

本文通过定量和定性研究的结果来确定大学生对大数据的兴趣和接受程度。建议创建一个学习计划,让学生获得必要的知识,形成关于大数据的坚实基础,以及开始使用这项技术的必要工具。的学生进行了一项调查研究计算机工程和工程的教育项目在ITSRV计算机系统,结果表明,41%的被调查者报告零知识的大数据,51.28%提到重要的是要了解的主题开发专业和最合适的方法,根据答案,是通过一个车间或一个认证。在8个最常用的大数据工具中,Hadoop和Spark是受访者确定的,因此,通过文献综述,重要的是在更高层次的机构中创建空间和大数据学习计划,让学生获得必要的基础知识,并识别大数据在专业和工作环境中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis, design, and creation of a learning program in Big Data at the higher education level: Case study Instituto Tecnológico Superior de Rioverde, SLP
In this paper results of a quantitative and qualitative study are shown to identify interest and acceptance level of Big Data in university students. The creation of a learning program is proposed that will allow students to obtain the necessary knowledge to form a solid foundation regarding Big Data, as well as the necessary tools to start working with this technology. A survey has been carried out of students who study the Educational Programs of Computer Engineering and Engineering in Computer Systems at ITSRV, the results show that 41% of the respondent’s report having zero knowledge of Big Data, 51.28% mention that it is important to learn about the subject by development professional and the most suitable way, according to the answers, is through a workshop or a certification. Of the eight most used Big Data tools, Hadoop and Spark were the ones identified by the respondents, due to this, and the literature reviewed, it is important that spaces and Big Data learning programs are generated in higher level institutions that allow Students obtain the necessary basic knowledge and identify applications of Big Data in the professional and job context.
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