This presentation discusses educational data mining research conducted at Muğla Sıtkı Koçman University to analyze student performance and develop models to predict success or failure. The research team analyzed data from university systems to build decision tree models relating factors like family income, English language preparation, and registration preferences to GPA. The models aimed to help identify factors influencing student outcomes and guide improvements. Issues addressed included limited data availability and usability of results for practitioners.