EVALUATION OF STUDENTS' CRITICAL THINKING ABILITIES THROUGH DATA MINING TECHNIQUES

Our objective in this project is to identify Key Performance Indicators that can define a student's level of understanding after completing specific classes, and to explore how we can utilize these Key Performance Indicators for classification or to calculate the success rate of skills in universities, as well as to place particular students in environments where they can thrive. Additionally, we will analyze which data mining algorithm yields the highest accuracy based on our dataset and address some of the challenges we may face along the way, drawing from existing research literature. The implementation of multi-phase analysis and cluster analysis is designed to be grounded in data that will ultimately inform the determination of Key Performance Indicators. Based on these identified Key Performance Indicators, we can access critical information and, if feasible, display it on a functional dashboard.