Integrating Artificial Intelligence in Higher Education

摘要

This chapter explores the integration of Artificial Intelligence (AI) in higher education with an emphasis on pedagogy, instruction, and administration for student learning and achievement. The paradigm shift moved the focus from teacher-centered to learner-centered systems involving AI-powered tools for personalized learning systems such as intelligent tutoring, adaptive learning systems, natural language processing (NLP), machine learning (ML), robotics, automated grading, and feedback to offer enhanced learning opportunities for teaching and learning. However, the AI technological transformation presented challenges in the form of ethical considerations, algorithm biases, curriculum development, lack of infrastructure, and accessibility issues. The chapter discusses the history and evolution of AI, AI technologies in higher education, enhancing pedagogy with AI in higher education, faculty support, and administrative efficiency. Additionally, it addresses the ethical considerations and future trends for AI adoption in higher education.