People often learn complex computational content most easily and deeply when they have “creative agency” – the social network, ability, skills, resources, and support to collaboratively and playfully make creative computational content in feedback-rich environments. This talk will present a lens on how we can create environments where learners are supported in developing creative agency, and how we might assess or evaluate success. Matthew Berland covers his projects in museums, computer science classrooms, after-school clubs, and universities, showing how we can use design-based research, learning analytics, and games to enable creative agency towards more equitable outcomes and better understand how, why, and when people make and learn complex computational content together.
Matthew Berland is an Associate Professor of Design, Informal, and Creative Education in the Department of Curriculum and Instruction at the University of Wisconsin–Madison, spending 2019-2020 as a visiting scholar in CMS/W at MIT. In addition, he is the director of the UW Games Program and the Complex Play Lab and Affiliate Faculty in Computer Sciences, Information Studies, STS, and the Learning Sciences. He uses design-based research and learning analytics to design, create, and study learning environments that support students’ creativity in learning computational literacies, systems literacies, and computer science & engineering content.