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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

Marie Cini

President and CEO

The Council for Adult and Experiential Learning

 

 

David Blake

CEO

Degreed

 

 

9:40 a.m. – Talks and discussion on measuring competence

Bror Saxberg

Vice President

Learning Science at Chan Zuckerberg Initiative

 

 

Tammy Wang

Vice President

Data Science and Analytics at Riviera Partners

 

 

10:35 a.m. – Talks and discussion on evaluating new approaches to learning

Norman Bier

Director

Open Learning Initiative, DataLab, Carnegie Mellon University

 

 

Yun Jin Rho

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

Details

Start:
March 18 @ 8:00 am
End:
March 19 @ 1:00 pm
Event Category:
Event Tags:
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Organizer

MIDAS
Phone:
734-615-8945
Email:
midas-contact@umich.edu
Website:
https://midas.umich.edu/

Other

Register

Venue

Palmer Commons
100 Washtenaw Ave.
Ann Arbor, MI 48109
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