Learning Analytics

Case Of The Month: An Interactive Approach to Case Based Learning in Oral Pathology, presented by Renee Ismail, 
U-M, School of Dentistry

For more information about learning analytics at U-M and to view videos and slides from past SLAM presentations, click here.
Event Information
Dates: 
Fri, 02/13/2015 - 12:00pm - 1:15pm
Location (Room): 
Great Lakes Rooms (Palmer Commons 4th Floor)
Presenter(s): 
Renee Ismail, School of Dentistry
Eligible for Certificate: 
Not eligible for Certificate
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Presenter Steven Mintz, Executive Director, Institute for Transformational Learning at University of Texas System.

For more information about learning analytics at U-M and to view videos and slides from past SLAM presentations, click here.

Event Information
Dates: 
Fri, 04/17/2015 - 12:00pm - 1:15pm
Location (Room): 
Founders' Room, Alumni Center
Presenter(s): 
Steven Mintz, University of Texas
Eligible for Certificate: 
Not eligible for Certificate
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Presenter Tim McKay, Learning Analytics Task Force: 2012-2015.

The UM Learning Analytics Task Force (LATF) was launched by then-Provost Phil Hanlon in May of 2012. During its three year term, LATF has worked to help the campus community use data to understand and improve teaching and learning. In this talk, I will review highlights of the rapid progress in this field at Michigan, provide a preview of the final report from LATF, and make some predictions about where learning analytics is headed, especially here at Michigan.

 

For more information about learning analytics at U-M and to view videos and slides from past SLAM presentations, click here.

Event Information
Dates: 
Fri, 03/27/2015 - 12:00pm - 1:15pm
Location (Room): 
Michigan Union - Pond Room
Presenter(s): 
Tim McKay, Physics
Eligible for Certificate: 
Not eligible for Certificate
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In this session, Becky Matz (CREATE for STEM Institute, Michigan State University) will characterize how patterns in teaching activities in introductory science classes differ by discipline at MSU and offer preliminary data on the teaching of scientific practices and phenomena in these classes. She will contextualize these results with course- and program-level data that highlight some of the challenges in teaching and taking introductory science classes.

For more information about learning analytics at U-M and to view videos and slides from past SLAM presentations, click here.

Event Information
Dates: 
Fri, 03/13/2015 - 12:00pm - 1:15pm
Location (Room): 
Michigan Union - Pond Room
Presenter(s): 
Rebecca Matz, Michigan State University
Eligible for Certificate: 
Not eligible for Certificate
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Presenters: Christopher Brooks and Stephanie Teasley, School of Information, U-M

For more information about learning analytics at U-M and to view videos and slides from past SLAM presentations, click here.
Event Information
Dates: 
Fri, 02/20/2015 - 12:00pm - 1:15pm
Location (Room): 
Great Lakes Rooms (Palmer Commons 4th Floor)
Presenter(s): 
Christopher Brooks, School of Information
Presenter(s): 
Stephanie Teasley, School of Information
Eligible for Certificate: 
Not eligible for Certificate
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