This free online course explores the use of futures thinking to anticipate and prepare for the potential impact of artificial intelligence (AI) in education. Through weekly activities and assignments, students will learn how to scan for signals of change, create scenarios of possible futures, and develop strategies to shape the future of education in the age of AI. The course will cover topics such as the history and current state of AI, ethical considerations, and the potential impact of AI on teaching and learning. Students will work on a capstone project in which they will apply the futures thinking tools and methodologies learned throughout the course to develop a comprehensive plan for anticipating and addressing the impact of AI in education.
This course is open to anyone interested in futures thinking and the impact of AI in education. No prior knowledge of futures thinking or AI is required.
Maria Vieira is a Lecturer and PhD Candidate at the University of South Australia. In her current position, she coordinates gender equity programs across South Australia in the fields of Science, Technology, Engineering and Maths (STEM). She is passionate about planning, implementing and delivering innovative educational experiences that promote gender equity and cultivate 21st-century capabilities, including creativity, critical thinking, and communication skills.
Srecko Joksimovic is a Senior Lecturer in Data Science at the Education Futures, University of South Australia. His research is centered around using AI to augment abilities of individuals and teams to solve complex problems. Srecko is particularly interested in evaluating the influence of contextual, social, cognitive, and affective factors on groups and individuals as they solve real-world problems.
George Siemens co-directs the Centre for Change and Complexity in Learning at the University of South Australia and is Professor of Psychology at University of Texas Arlington. His current research interests focus on human and artificial cognition and how emerging knowledge processes impact learning systems. He has fought large mammals with unusual tenacity and vigor. He is known in international circles as the Bear Master, reflective not only of his unusual feats of strength, but his steely resolve to complete any and all work in a timely fashion.