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NSF Learning Analytics Workshop
March 18 @ 8:00 am - March 19 @ 1:00 pm
Palmer Commons
This NSF workshop brings together learning and data scientists with various backgrounds and prior expertise to collaboratively solve the research challenges of development of instruction, assessment of competence of current and would-be workers, and evaluation of learning tools. Three specific questions will be addressed: how to define competence, measure competence and evaluate new approaches to learning. Speakers are invited from across industry and academia to ensure a broad perspective and specifically to take into account employer’s perspectives. Please join us for an exciting event and lively discussions.
Please register if you would like to attend.
Schedule:
March 18, 2019
8:00 a.m. – Registration
8:30 a.m. – Welcome and Introductions
- Stephanie Teasley, Research Professor, School of Information, University of Michigan
- Rada Mihalcea, Professor, Computer Science and Engineering, University of Michigan
- Henry Kelly, Senior Scientist, Michigan Institute for Data Science, University of Michigan
8:45 a.m. – Talks and discussion on defining competence
President and CEO
The Council for Adult and Experiential Learning
CEO
Degreed
9:40 a.m. – Talks and discussion on measuring competence
Vice President
Learning Science at Chan Zuckerberg Initiative
Vice President
Data Science and Analytics at Riviera Partners
10:35 a.m. – Talks and discussion on evaluating new approaches to learning
Director
Open Learning Initiative, DataLab, Carnegie Mellon University
Director
Efficacy Analytics and Studies, Pearson
11:30 a.m. to 12:00 p.m. – Networking
March 19, 2019
9:45 a.m. to 12:50 p.m. – Panel discussions on each of the three topics
12:50 p.m. – Concluding remarks and discussion of next steps
1:00 p.m. – Adjourn
