Week 1: Introduction to Futures Thinking and AI in Education
Week 2: Forecasting Skills
Week 3: Simulation Skills
Week 4: Collaborative Foresight
This learning experience is suitable for educators and professionals from diverse backgrounds in the field of education. It is relevant to teachers, administrators, policymakers, curriculum developers, and anyone interested in understanding and preparing for the impact of AI in education.
Students can expect to gain practical experience in applying Futures Thinking to education. Through collaborative activities, they will develop the skills and strategies necessary to analyse and anticipate the impact of AI on teaching and learning, research, and student experiences. By the end of the course, students will have developed futurist capabilities, enabling them to navigate and shape the future of education.
The learning experience will be delivered through a combination of online lectures, interactive discussions, practical exercises, and case studies. Students will have access to course materials and resources through an online learning platform, enabling them to engage with the content at their own pace. They are expected to dedicate approximately 2 hours per week, during a period of 4 weeks.
Yes, throughout the learning experience, students will participate in assessments and assignments designed to reinforce their learning. These may include quizzes, case studies and reflective exercises. The assessments will enable students to apply their knowledge to real-world scenarios and receive feedback from instructors and peers.
Yes, students who successfully complete the course will receive a certificate of completion and credit for UniSA Graduate courses in Education Futures upon completion, enabling you to continue to advance your studies.
This learning experience 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.