Abstract:

Artificial Intelligence (AI) is playing an important role in higher education because it helps make better decisions and support students more effectively. Universities worldwide face persistent challenges related to student dropout, low academic performance, and ineffective intervention strategies. Traditional ways to monitor academic progress are often reactive and unable to identify at-risk students at an early stage. AI technologies such as Machine Learning (ML), Deep Learning (DL), Educational Data Mining (EDM), and Learning Analytics (LA) provide analytical capabilities that help institutions identify students at risk of academic failure or dropout so universities can strategies and help students