2025EUC2189@students.euc.ac.cy
Forum Replies Created
-
Posts
-
In this module, I learned that machine learning models “learn” by identifying patterns in training data and adjusting their parameters to make accurate predictions. Diverse datasets are crucial, as they improve the model’s ability to generalize and reduce bias. Without diversity, predictions can be inaccurate or unfair. Using student data in classrooms raises important ethical and privacy considerations. Incorporating AI/ML concepts in STEAM education can promote critical thinking, responsible data use, and civic engagement. Overall, this module highlighted the importance of combining technical understanding with ethical awareness when teaching data science.