PAL. A Personalized Aide for student Learning.



For this project I developed scripts in Python using Django Framework to support a item-response-theory-driven interactive question interface, resulting in enhanced student learning.

I also led the integration of Akindi score file format with back-end database to streamline score data processing and improve efficiency, saving over 300 hours worth of grading and question analysis for professors.

Research Poster from IRT Fall '23 - Spring '24 Symposium