A Prediction Model for Improving Accuracy of Students Performance Using Big IoT Data Analytics | Original Article

ABSTRACT:

Today the big data analytics are playing a very important role in various field like business, organizations, health care, weather forecast because the huge amount of big datasets have been produced since the past some years via educational apps, organization’s websites, and social media. There are a lot of educational big datasets are available which have generated through the online courses, Institution’s report like student academic result, student placement activity performance records. Those types of datasets have stored in form of unstructured data. Thus big IoT data analytics has the capability to process unstructured data and predict the valuable information insight into large datasets and this information we can use for the next coming student in the campus for improving their performance. In this paper, we have given a prediction model to improve the accuracy of student’s performance such as job placement by using big IoT data analytics. The Internet of Things (IoT) devices has enabled to connect all digital devices to each other and share the information among them. The proposed prediction model can be improved existing learning process and will find out which students are not performing well then further the management can provide extra facility to that type of poor students.