Artificial intelligence (AI), analytics, and assessment transform higher education, offering new opportunities to enhance learning outcomes, streamline administrative processes, and personalize student experiences. As institutions face pressure to demonstrate effectiveness, improve retention, and support diverse learner needs, the integration of advanced data-driven tools becomes essential. AI and analytics provide insight into student performance and behavior, while assessment methods provide continuous measures of learning. Together, these technologies may reshape how educators design curriculum, evaluate progress, and support student success in digital academic environments. AI, Analytics, and Assessment in Higher Education explores how AI and data analytics are leveraged to enhance assessment practices and decision-making in higher education. It examines their impact on teaching, learning, and institutional effectiveness, while addressing challenges like data privacy, bias, and ethics. This book covers topics such as educational technology, instructional design, and sustainable development, and is a useful resource for educators, engineers, academicians, researchers, and data scientists.