Learning Analytics

Two Presentations:

Multi-Institutional Explorations of Grade Penalties presented by
 Benjamin Koester, Physics, U-M

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): 
Benjamin Koester, Physics
Presenter(s): 
Renee Ismail, School of Dentistry
Eligible for Certificate: 
Not eligible for Certificate
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From “think-pair-share” to group projects, it is well known that collaborative elements enhance active learning. We examined three university and community college classes using SKIES, a tablet-based technology that enables students and teachers to create and contribute knowledge together in real-time to an interconnected class tree visible to all. Instructors promoted joint knowledge creation in their classes in different ways, from encouraging students to participate via free-form backchannels to leading students through structured activities built into the lesson. Varying practices are related to how, when, where, and what students and teachers created together, with resultant positive effects on student learning. These results inform new approaches to learning analytics and data visualization relevant to instructors and students alike.

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, 01/30/2015 - 12:00pm - 1:15pm
Location (Room): 
Great Lakes Rooms (Palmer Commons 4th Floor)
Presenter(s): 
Cassandra Volpe Horii, California Institute of Technology
Presenter(s): 
Julius Su, California Institute of Technology
Eligible for Certificate: 
Not eligible for Certificate
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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, 11/21/2014 - 12:00pm - 1:15pm
Location (Room): 
2435 North Quad Academic Complex
Presenter(s): 
Tawanna Dillahunt, School of Information, U-M
Eligible for Certificate: 
Not eligible for Certificate
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Throughout the twentieth century most educational data were produced and analyzed with government patronage, with the resulting knowledge defined as a public good for the improvement of citizens, workers and policies. Very recently, proprietary firms are producing huge new stores of educationally relevant data through digital media and are underwriting scientific investigation in the interest of improving privately owned educational products and services. This represents a major change in the ecology of educational knowledge production. I provide a synthetic description of this change and specify its implications for educational science, governance, business, and citizenship in the twenty-first century.
 
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, 10/31/2014 - 12:00pm - 1:15pm
Location (Room): 
Great Lakes Central (Palmer Commons 4th Floor)
Presenter(s): 
Mitchell Stevens, Stanford University
Eligible for Certificate: 
Not eligible for Certificate
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We present initial results from a large-scale text mining analysis of student written responses to UM course evaluation questions, based on a dataset comprising millions of comments for thousands of courses over 10 semesters. Our goals are to (1) build on existing analysis of numeric ratings; (2) understand more about which specific positive and negative factors in the learning environment may distinguish courses at similar and different numeric rating levels across different evaluation questions; (3) look at how these positive or negative factors distinguish courses across other facets like sections within a larger course, school/college/department, or instructor demographic. Project contributors: Kevyn Collins-Thompson, Phyllis Ford, Adam Levick, Florence Lee, Mika LaVaque-Manty, Michael Spiegel, Lifan Yang. Supported by CRLT Winter 2014 Learning Analytics Fellows Program.
 
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, 11/14/2014 - 12:00pm - 1:15pm
Location (Room): 
Great Lakes Rooms (Palmer Commons 4th Floor)
Presenter(s): 
Kevyn Collins-Thompson, U-M School of Information
Presenter(s): 
Adam Levick, U-M School of Information
Eligible for Certificate: 
Not eligible for Certificate
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