Knowledge Visualization of Internet Usage Pattern to Improve Students’ Academic Performance Using Prescriptive Analytic

Abstract

The knowledge discovery from graphical graphs could be challenging. Most of the time, the visual analysis cannot be done solely based on naked eyes interpretation. Therefore, knowledge visualization is vital to assist the process, especially in business intelligence and analytics to improve data insights and cognitive abilities. To effectively facilitate knowledge discovery from visual graphs, different analytical techniques should be explored in analyzing and visualizing the datasets. This study proposes an intelligent system to discover hidden knowledge from educational data by using interactive visualization and prescriptive analytic techniques. It focuses on model processing, as well as the development of an intelligent system to improve students’ academic performance. The method adapted Design Research, comprising of four stages which are 1) problem definition, 2) suggestion, 3) development, and 4) evaluation. Additionally, three stages of data analytics were applied in the development stages, namely 1) descriptive-analytic on Internet usage pattern and students’ academic performance, 2) predictive analytic of students’ academic performance based on Internet usage pattern, and 3) prescriptive analytic to recommend the suitable action to improve students’ academic performance. All these techniques involve data visualization by using the Microsoft Power BI tool. This approach is tested using a real dataset from Higher Learning Institutions, collected from 2017 to 2019. As a result, this leads to the desired knowledge visualization that facilitates the decision-making related to student performance enhancement.Theoretically, this study contributes to enhance the visualization and interpretation of data by using cognitive and reasoning components in prescriptive analytic. Besides, the proposed model enables decision maker in educational domain to make meaningfuldecisions regarding Internet usage management.