Sign In
Personal Schedule
Change Preferences
Search
Browse By Day
Browse By Time
Browse By Person
Browse By Group
Browse By Session Type
Browse By Research Area
Search Tips
AECT 2022 Convention Page
X (Twitter)
This study aims to establish a machine learning algorithm that predicts academic underachievement of international students. Log data compiled in the learning management system (LMS) was utilized in constructing the prediction algorithm. F1 score was used as the main evaluation index for performance comparison between models. Tuning process of hyper parameters followed, and finally an ROC curve was drawn in order to provide a visualization of prediction accuracy derived from the three algorithms.