Can Learning Analytics Improve Learning?

• In Event: 77.028 - Can Learning Analytics Improve Learning?

Abstract

The relatively new field of Learning Analytics holds great promise for education, but that promise may be as challenging to fulfill as it is ambitious. For example, it has proven surprisingly difficult to show that greater access to data can significantly improve learning on a large scale. To address that evidence gap, this panel discussion session will bring together eminent researchers and others who work in learning science, assessment design and validation, data mining, and policy making. Panelists will discuss with the audience how learning analytics can be organized and conducted to represent a key down-payment on improving equity for learning and career success for all students, and will present the evidence that supports their recommendations.

Authors

• Bror Valdemar Haug Saxberg, Chan Zuckerberg Initative

• Ryan Shaun Baker, University of Pennsylvania

• David Michael Niemi, Kaplan

• Richard E. Clark, University of Southern California

• Mary Ann Wolf, The Friday Institute (NC State University)

• Roy D. Pea, Stanford University