论文标题
大数据和三级机构中的分析实施，以预测尼日利亚的学生表现
Big Data and Analytics Implementation in Tertiary Institutions to Predict Students Performance in Nigeria
论文作者
论文摘要
大数据一词是为了指代传统数据处理技术无法处理的大量数据。大数据仍然是一个新颖的概念，在以下文献中，我们打算以明显的方式详细说明它。它始于主题本身的概念，以及其特性以及处理该主题的两种一般方法。大数据为教育机构提供了一个机会，可以从战略上利用其信息技术资源来提高教育质量，指导学生提高完成率并改善学生的毅力和成果。本文探讨了与教育机构相关的大数据的属性，研究了影响大数据和分析机构中采用大数据的因素，并试图建立阻碍在高等教育机构中使用大数据的限制因素。在进行这项研究时采用了调查研究设计，问卷是用于数据收集的仪器。
The term Big Data has been coined to refer to the gargantuan bulk of data that cannot be dealt with by traditional data-handling techniques. Big Data is still a novel concept, and in the following literature, we intend to elaborate on it in a palpable fashion. It commences with the concept of the subject in itself, along with its properties and the two general approaches to dealing with it. Big Data provides an opportunity for educational Institutions to use their Information Technology resources strategically to improve educational quality, guide students to higher completion rates and improve student persistence and outcomes. This paper explores the attributes of big data that are relevant to educational institutions, investigates the factors influencing the adoption of big data and analytics in learning institutions, and seeks to establish the limiting factors hindering the use of big data in Institutions of higher learning. A survey research design was adopted in conducting this research, and Questionnaires were the instrument employed for data collection.
