learning-analytics-project

This is an analytics and visualization project for learning analytics course in UDE

We are using Students' Academic Performance Dataset. Also, we add some fake students' information such as FirstName, LastName, Phone, and etc with faker.

Objectives

• Explore the students performance dataset by perform some initial data visualization.
• Apply the machine learning algorithms on the dataset to determine most important features and attempt to predict the students performance based on these features.

Project Architecture

Technologies:

Libraries:

• Highchart
• jQuery
• scikit-learn
• XGBoost

Algorithms:

• Logistic Regression
• SVM
• KNN
• Random Forest
• XGBoost

Visualizations:

• The demographic attributes are visualized by pie chart and bar chart:

• The academic background attributes are visualized by stacked bar chart:

• The behavioral attributes are visualized by box plot:

How to run the project:

Here is a simple demo on Youtube

• clone the repository
• configure the local database
• run the project on the localhost

Further Work:

combine the machine learning model to the frontend and creat a GUI to use the predict function

Group Members:

Fangzheng Ji
Jihao Zhang
Jaleh Ghorban
Shahrzad Amini
Damera Ritesh