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 in which learners are supported in developing creative agency. I will cover my 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 Digital Media in the Department of Curriculum and Instruction at UW–Madison. 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.
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