150-200 Word Summary
Over the past five years, artificial intelligence (AI), natural language processing (NLP), and large language models (LLMs) have significantly impacted higher education and research. These technologies have revolutionized personalized learning, automated assessment, curriculum development, and mental health support. AI-driven learning systems adapt to students’ needs, enhancing learning efficiency. Automated grading technologies reduce human bias, improving assessment fairness. AI also optimizes curriculum design, aligning it with industry demands and improving students’ job readiness. Additionally, AI-powered mental health tools offer emotional support and early intervention through sentiment analysis. However, challenges such as data privacy, ethical concerns, and fairness must be carefully managed. Moving forward, educational institutions must strike a balance between AI and human instructors to ensure responsible AI adoption. By leveraging AI effectively while maintaining human engagement, education can become more inclusive, personalized, and impactful.