I read a study titled "Academic course planning recommendation and students’ performance prediction multi-modal based on educational data mining techniques" (2025). The study used EDM to look at students’ past records and to predict course performance. The study tried machine learning models. The study predicted students’ grades with 78 percent accuracy. The study also gave each student a custom course recommendation. The study shows that EDM can reveal patterns in learning behavior. The study can point out which students may be, at risk. The study can help teachers and institutions design help. I see that EDM provides evidence. I see that EDM data driven insights can help the decision making in the curriculum planning the advising and the early warning systems.
I see that the educational data mining has limits. The educational data mining can show what might happen. The educational data mining cannot fully explain why something happens because the educational data mining only finds correlations, not causes. Many important factors that affect learning, such as motivation, mental health or home environment are not, in the school databases. The models can miss context or give biased predictions. The educational data mining cannot guarantee that the intervention will work. The educational data mining only flags risks. Therefore, while EDM is useful for prediction and pattern detection, it cannot replace human judgment or fully describe the complex, real-world reasons behind student success or struggle.