Learning Analytics

Student Learning and Analytics at Michigan (SLAM): Teaching 150K+ Students at a Time: The PowerSearchingWithGoogle.com Story

MOOCs (Massive Open Online Courses) have become incredibly popular in just the past 12 months.  Many MOOCs have had more that 100K students register for their courses.  Is this the future of online education?  Or is it yet-another passing fancy in the educational technology parade?  In the past 12 months, Google has run three MOOCs with more than 280K registrants.  Dan Russell, of Google, will talk about what MOOCs are, how they're actually run, the social community of learners that are essential for making MOOCs succeed, and what seems to work (and not work) in MOOCs. Along the way, he will also discuss how people actually learn how to search... and do sensemaking as a task. He will also show evidence that behaviors learned in the MOOC persist after the end of class.

Lunch will be served at 11:45 a.m. in 337 West Hall. The presentation will start at 12:10 p.m. in 340 West Hall (no food is allowed in 340 W. Hall).

Dan Russell will be giving an additional talk on October 4 from 10-11 a.m. on "Mindtools: What does it mean to be literate in the age of Google?" This talk will be held in the Koessler Room, Michigan League. Read more »

Event Information
Start Date: 
Fri, 10/04/2013 - 11:45am
End Date: 
Fri, 10/04/2013 - 1:15pm
Location (Room): 
340 West Hall
Presenter(s): 
Dan Russell, Google
Eligible for Certificate: 
Not eligible for Certificate
Submitted by bmatheny on Tue, 08/06/2013 - 2:58pm
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Student Learning and Analytics at Michigan (SLAM): Teaching Evaluations: What You Think They Tell Us, What They Do Tell Us, and What They Don't Tell Us

Mika LaVaque-Manty and David Cottrell, U-M Political Science, analyzed quantitative data from University of Michigan teaching evaluation questionnaires from 2005 to 2013 and report on some of their more significant findings, in particular with regard to widespread perceptions and concerns about them. These concerns include the relationship between course grades and evaluations, the move in fall 2008 to electronic collection of the forms, course size and response rates. They also report on the relationship between the popular commercial service Ratemyprofessors.com and Michigan evaluations.

The Student Learning and Analytics at Michigan (SLAM) Seminar series features both U-M faculty and visitors from other campuses, focusing on the use of data about students, courses and academic programs -- for the purposes of improving teaching and learning. For more information about learning analytics at U-M and to view videos and slides from past SLAM presentations, click here.

Event Information
Start Date: 
Fri, 09/27/2013 - 12:00pm
End Date: 
Fri, 09/27/2013 - 1:15pm
Location (Room): 
Johnson Rooms, 3rd Floor, Lurie Engineering Center (North Campus)
Presenter(s): 
Mika LaVaque-Manty & David Cottrell, U-M Political Science
Eligible for Certificate: 
Not eligible for Certificate
Submitted by bmatheny on Tue, 08/06/2013 - 2:54pm
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Learning Analytics at U-M: An Update and Agenda for 2013-15

The Student Learning and Analytics at Michigan (SLAM) Seminar series features both U-M faculty and visitors from other campuses, focusing on the use of data about students, courses and academic programs -- for the purposes of improving teaching and learning. In this session, Professor Tim McKay, Chair of the Provost's Learning Analytics Task Force, will present on U-M's learning analytics activities over the past year and put forward an agenda for the remaining two years of the three-year initiative (2012-15).

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

Event Information
Start Date: 
Fri, 09/13/2013 - 12:00pm
End Date: 
Fri, 09/13/2013 - 1:15pm
Location (Room): 
2435 North Quad
Presenter(s): 
Tim McKay, U-M Physics and Chair of the Learning Analytics Task Force
Eligible for Certificate: 
Not eligible for Certificate
Submitted by bmatheny on Wed, 07/31/2013 - 10:32am
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Improving Student Learning: Lessons from U-M Professor Bill Gehring

“I studied really hard for the exam and felt like I knew the material, but I did poorly.” 

Have you ever heard something like this from your students? Do you wonder how you might prevent such experiences? In a November Student Learning and Analytics at Michigan (SLAM) series lecture, Thurnau Professor of Psychology Bill Gehring explains how he has integrated key findings from the science of learning into his teaching in order to help students study more effectively and improve their course performance. 

If you haven't been able to attend the SLAM series talks but want to learn more about the ongoing conversation at U-M about using student data to enhance learning, this video is a great place to start. Professor Gehring's topics in this hour-long talk include: Read more »

Submitted by tbraun on Fri, 12/07/2012 - 9:42am
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What is Learning Analytics?

The University's Learning Analytics Task Force has recently announced a new Fellows Program. This program will bring together faculty, staff, graduate students, and postdocs in a semester-long collaborative study of Learning Analytics. If you're considering applying for this opportunity or just curious what "Learning Analytics" means, read this guest post by Natalie Sampson, Public Health Ph.D. student and Graduate Teaching Consultant at CRLT.

As academics, many of us think a lot about assessment in the classroom. How do we best assess our students' learning? How can we be sure they are getting it? In this information age of "big data," Learning Analytics is an emergent field that is tackling these core pedagogical questions.

You may have heard the term "Learning Analytics" (LA) around campus but still wonder what it refers to. According to the Society for Learning Analytics Research (SOLAR), LA is "the measurement, collection, analysis, and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs."

What might that mean for your teaching?  In practice, Learning Analytics may look like...
Read more »
Submitted by tbraun on Tue, 11/13/2012 - 1:57pm
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