A Process Mining Framework for Analyzing Learning Clickstream Data

In this paper, we propose a process mining framework for analyzing large-scale learning clickstream data collected from a major US university’s learning management system. We address a number of modeling and analysis challenges from a process mining perspective and propose new concepts for process-centric learning analytics. Framework

Retention

Discussion Analysis

This study attempted to analyze the relationship between students’ participation in disucssion and their course performance. Course Discussion Analysis

Learning Behavior Analysis

Based on the Canvas Data, this research created a dashboard which provides early intervention signal to the student and faculty. Learning Behavior

Graduate Admission

This project tried to predict chance of admit from important parameters such as GRE, TOEFL, and PS, etc.

Findings

View Jupyter Notebook & Report