George Siemens

George Siemens is a renowned figure in the field of AI and its impact on learning systems. He is the co-founder, Chief Scientist, and Architect of SNHU’s Human Systems, where he concentrates on the systemic impact of AI on learning and wellness. As the founding Director and Professor at the Center for Change and Complexity in Learning (C3L) at the University of South Australia, Siemens has made significant contributions to understanding and navigating the complex dynamics of learning in the digital age. His influence extends to the University of Texas at Arlington, where he developed the Masters of Science in Learning Analytics program.

Siemens is a pioneer in the digital education space and is renowned for developing the theory of connectivism, a learning theory for the digital age that explains how Internet technologies have created new opportunities for people to learn and share information across the World Wide Web. In 2008, he introduced the concept of massive open online courses (MOOCs), a revolutionary idea that has transformed access to education worldwide. His leadership extends to professional bodies, as he is the founding President of the Society for Learning Analytics Research (SoLAR) and the Global Research Alliance for AI in Learning and Education (GRAILE).

Siemens' expertise and insights have found a global audience. He has delivered keynote addresses in over 40 countries, discussing the influence of technology and media on education, organizations, and society. His thoughts and achievements have not only been recognized by major media outlets like the New York Times but also by respected entities like NSF, SSHRC, OLT, Intel, Boeing, and the Bill & Melinda Gates Foundation, who have funded his research projects. In recognition of his significant contributions to learning, technology, and networks, Universidad de San Martín de Porres and Fraser Valley University have honored him with honorary doctorates. Additionally, he holds an honorary professorship at the University of Edinburgh, a further testament to his stature in the field of AI and learning.