class: center, middle, inverse, title-slide # Student Performance Analytics using Exploration and Logistic Regression ## WQD7004 Assignment Poster ### Wong Wei Wen ### Universiti Malaya ### 6th June 2022 --- # Introduction and Background .pull-left[  According to data set, most of the parents of students have tertiary education, with the most of them having attained an associate's degree. ] .pull-right[  Taking a look at the pie chart, we can see that according to the MAth Score, most of them are in tertiary education, the parents with high school is at lowest of 8%. ] --- # Research Questions and Objectives ___What does educator need to know?__ 1. What is the prediction of whether a student pass or fail depending on the factors ? 2. What are the skills needed to have good performance in Maths (reading/writing etc) __Domain: Education__ Motivation & Objectives: - To empower teachers with __data-driven approach__ in academic school to give priorities to students who need more attention and emphasis __Data Source: Kaggle Student Academic Performance__ --- # Visualization of Logistic Regression This visualization part answer Q1, which is "What is the prediction of whether a student pass or fail depending on the factors ?"  --- # Prediction Visualized This visualization answers Q2, which is "What are the skills needed to have good performance in Maths (reading/writing etc)" .pull-left[ __Educators can screen through criteria such as__ - Reading skill - Writing skill - Gender  ]