Creating the Institutional Capacity to Leverage Learning Analytics in Higher Education
Prof. Stephanie Teasley
Dr. Teasley is a Research Professor in the School of Information and the Director of the Learning Education & Design Lab (LED Lab) at the University of Michigan. She received her PhD in cognitive psychology from the University of Pittsburgh in 1992. Throughout her career, her work has focused on issues of collaboration and learning, looking specifically at how sociotechnical systems can be used to support effective collaborative processes and successful learning outcomes. She is the co-editor of the volume, Perspectives on Socially Shared Cognition, and co-author of several highly cited book chapters on collaborative learning. Her recent work has focused on assembling and utilizing institutionally-held student data to design and evaluate new ways to support student success. She has been a Program Chair for the Learning Analytics and Knowledge conference (LAK 14) and co-chairs the Learning Analytics Summer Institute (LASI 16 & 17). She became the President of the Society for Learning Analytics Research (SoLAR) in 2017.
Home Page: https://ledlab.si.umich.edu/
Abstract: The research community for Learning Analytics is growing rapidly promising new insights into learning and resulting innovations in pedagogy. For this promise to be realized, however, we need the capacity to leverage educational data for scholarly research and apply research results at the kind of scale that truly changes how we teach and learn. In this talk I will present how the University of Michigan is engaged in learning analytics as an institutional initiative aimed at using the data produced by digitally-mediated education to better understand and improve student outcomes. I will provide the history of this initiative and outline some of the key drivers that has created the capacity for us to explore new tools and practices that may change significantly how we educate our students.