Ai and Learning Analytics in Distance Learning

The ever-changing landscape of distance learning AI and learning analytics transforms engagement and efficiency in education. AI systems analyze behavior and performance data to provide real-time feedback for improved outcomes. Learning analytics further help educators to identify at-risk students while fostering better teaching strategies. By integrating AI with learning analytics, distance education becomes more inclusive, ensuring learners receive the support necessary to thrive in an increasingly digital and knowledge-driven world. AI and Learning Analytics in Distance Learning explores the development of distance learning. It examines the challenges of using these systems and integrating them with distance learning. The book covers topics such as AI, distance learning technology, and management systems, and is an excellent resource for academicians, educators, researchers, computer engineers, and data scientists.

Associate professor in the Dep. of Sciences and Technology of Universidade Aberta (Portuguese Open University). Invited professor at NOVA Information Management School from Universidade Nova de Lisboa. Senior researcher at INESC TEC. More than 100 scientific publications, including other titles with IGI Global.

Arnaldo Santos is a Professor of the Department of Sciences and Technologies of Universidade Aberta. Invited Professor at the Department of Communication and Art of the Aveiro University. He is the Vice-director of Doctor's Degree in Web Science and Technology. His current research interests are focused on Digital Learning Systems and Contents and Learning Organizations. 28 years' experience in Management in Corporate Sector, where he was Communication and Learning Director.