The rapid integration of Artificial Intelligence (AI) into higher education is profoundly transforming both teaching and research. This article explores how AI-driven technologies enable personalized and adaptive learning, empowering educators to shift from content delivery to mentorship and creativity. By tailoring instruction to individual needs, AI fosters inclusivity and enhances student engagement through adaptive platforms, virtual tutors, and chatbots. Case studies from leading universities demonstrate tangible improvements in learning outcomes, retention, and student support, while also underscoring ethical and pedagogical challenges. Beyond education, AI is revolutionizing research practices by accelerating data analysis, generating hypotheses and promoting interdisciplinary collaboration. From genomics to computational social sciences, AI expands the capacity of researchers to address complex global challenges. However, these opportunities raise pressing ethical issues, including data privacy, algorithmic bias, transparency and equity. The article concludes by emphasizing the need for responsible AI governance, institutional investment, and international collaboration. When integrated thoughtfully, AI can enhance learning experiences, broaden access, and accelerate innovation for the benefit of society.
Type of Study:
Research |
Subject:
Special Received: 2025/05/30 | Accepted: 2025/09/15 | Published: 2025/12/31