Enhancing SQL Learning with AI: Designing an Adaptive Algorithm for Dynamic Difficulty Adjustment in SQL Scrolls

Abstract

The objective was to optimize the learning outcomes, by personalising the educational experience and enhancing engagement. The adaptive game version offered personalised task recommendations based on an AI model which considers player performance and task difficulty. Next task to play was suggested via a recommender that dynamically selected the SQL tasks the student plays. We also implemented a hard coded help function with additional SQL guidance related to the task, available for 42 SQL keywords.