Learning Analytics

Friday, September 13, kicked off another year of the Student Learning and Analytics at Michigan (SLAM) speaker series with a presentation by Tim McKay, chair of the University's Learning Analytics Task Force and Thurnau Professor of Physics. McKay spoke about the accomplishments of the Task Force from the previous year, presented data from recent Learning Analytics research, and discussed plans for the next year. 
 
For those new to the topic, McKay explained that Learning Analytics (LA) -- or the collection, analysis, and use of large bodies of student data to improve learning -- can assist instructors in achieving a wide range of teaching goals. Data can be used to drive changes to how we interact with students, teach material, and evaluate learning, ultimately improving student outcomes in the classroom. The U-M Learning Analytics Task Force works to facilitate and support LA projects within the University community.
 
Last year, the Task Force funded a variety of LA projects at University of Michigan. One of these projects involved using data and technology to personalize the guidance given to undergraduate students in large lecture classes using the software system E2Coach. For more information on E2Coach and the Thurnau professors who created it, click here. Other projects involved creating systems to customize course advising, with the goal of improving success throughout students' university careers.
 
If you are interested in learning more about learning analytics, sign up for the rest of the SLAM talks, or watch them online after they are posted. Videos of last year's series are already available here. If you would like to pursue a LA project related to your teaching, the Task Force will be sponsoring a Learning Analytics Fellows program during the Winter term. Applications for this program will be available soon and due by November 15. The last round of Exploring Learning Analytics grants also are due on November 15, and the call for proposals can be found here.
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Digital badges are web-enabled tokens of learning and accomplishment. Unlike traditional grades, certificates, and transcripts, badges can include specific claims and detailed evidence in support of those claims. The Design Principles Documentation project is systematically following the introduction of digital badges in thirty diverse educational projects. This has revealed that the introduction of digital badges prompted useful deliberations about (a) the learning to be recognized, (b) the claims to be made about that learning, and (c) the assessments needed to support those claims. These deliberations should enhance the evidential, consequential, and ecological validity of these claims. Therefore, the evidence contained in badges offers unprecedented opportunity for analyzing learning and activity in educational contexts. This presentation will review how a wide range of current educational projects are using the evidence contained in digital badges. These include some of the thirty projects funded in the MacArthur Foundation’s Badges for Lifelong Learning initiative in 2012-2013, programs from YouMedia in the 2013 Chicago Summer of Learning, and from an open online course on educational assessment offered at Indiana University in Fall 2013.
Event Information
Start Date: 
Fri, 11/15/2013 - 12:00pm
End Date: 
Fri, 11/15/2013 - 1:15pm
Location (Room): 
Great Lakes North (Palmer Commons 4th Floor)
Presenter(s): 
Dan Hickey, Indiana University
Eligible for Certificate: 
Not eligible for Certificate
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This SLAM Seminar will focus on two U-M faculty projects involving the design and assessment of online learning resources. Christine Modey, Sweetland Center for Writing (LSA), will present on her project to promote student learning of writing skills through online learning resources. This initiative is part of the Michigan Education through Learning Objects team, a U-M cross-disciplinary collaboration that facilitates development of technology-infused courses for enhanced learning. Next, Robin Fowler, Technical Communications (CoE) will present on her quasi-experimental study examining the effect of discussion format (Google doc or face-to-face) on team dynamics in a first-year undergraduate engineering course. This project was funded by CRLT's Teaching with Technology Institute and Investigating Student Learning Grants.

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, 11/01/2013 - 12:00pm
End Date: 
Fri, 11/01/2013 - 1:15pm
Location (Room): 
Johnson Rooms, 3rd Floor, Lurie Engineering Center (North Campus)
Presenter(s): 
Christine Modey, Sweetland Center for Writing, U-M
Presenter(s): 
Robin Fowler, Technical Communications, U-M
Eligible for Certificate: 
Not eligible for Certificate
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In its relative infancy, the learning analytics movement has focused mainly on scraping data from online interactions in course management systems, or on aggregating databases of grades stored electronically. This talk will focus on ways of improving teaching and learning by using video technologies to analyze lecture materials as well as to provide a means for reflective practice that can more fully capture an educational experience.

Virginia Kuhn is the Associate Director of the Institute for Multimedia Literacy, a research unit in the School of Cinematic Arts at the University of Southern California, and she directs the Institute for Multimedia Literacy's Honors in Multimedia Scholarship program.

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, 10/25/2013 - 12:00pm
End Date: 
Fri, 10/25/2013 - 1:15pm
Location (Room): 
2435 North Quad
Presenter(s): 
Virginia Kuhn, University of Southern California
Eligible for Certificate: 
Not eligible for Certificate
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In this session, Stephanie Teasley, Steve Lonn, and Eric Koo (U-M USE Lab) will be presenting on their analysis of U-M's Coursera data.

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, 10/11/2013 - 12:00pm
End Date: 
Fri, 10/11/2013 - 1:15pm
Location (Room): 
Michigan League - Henderson Room
Presenter(s): 
Steve Lonn, Stephanie Teasley & Eric Koo, U-M USE Lab
Eligible for Certificate: 
Not eligible for Certificate
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