Learning Analytics

Presentation #1: Exploring the Impact of Michigan Learning Communities
Presentation #2: “What we do may not always be good for us”: Analytics of Michigan Medical Students’ Histology Study Strategies and Learning Success
 

Out-of-class experiences have been found to have a significant impact on student learning. These two SLAM presentations will focus on using learning analytics to measure outcomes in two different out-of-class contexts at U-M: Michigan Living-Learning Communities and online learning resources for Medical and Dental School students.

Students engage in a variety of co-curricular activities to enhance their educational experience.  But what impact do these programs have on academic achievement? In "Exploring the Impact of Michigan Learning Communities," Jennifer Maltby (Associate Director, Michigan Research Community) will present results from a multi-year effort to assess the impact of six residential Learning Communities at the University of Michigan. Read more »

Event Information
Dates: 
Fri, 02/21/2014 - 12:00pm - 1:15pm
Presenter(s): 
Jennifer Maltby, Michigan Research Community, U-M
Presenter(s): 
Michael Hortsch, Medical School, U-M
Eligible for Certificate: 
Not eligible for Certificate
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Most -- if not all -- of the important skills in our life are acquired outside the traditional classroom setting. Yet we continue to teach using lectures where students passively take down information. Instead, we should really focus on the assimilation of that information and shift the focus from teaching to helping students learn. Over the past 20 years, instructors world-wide have begun to adopt Peer Instruction to get students to think in class. With the advent of new technology the process can be significantly improved. A new data-analytics driven audience response system does away with multiple choice questions and helps instructors design better questions, manage time and process flow, and optimize the discussions in the classroom.

Eric Mazur is the Balkanski Professor of Physics and Applied Physics at Harvard University. In 1990, he began developing Peer Instruction, an active learning method, and he is the author of Peer Instruction: A User's Manual (Prentice Hall, 1997), a book that explains how to teach large lecture classes interactively. In 2011, he founded Learning Catalytics, a company that uses data analytics to improve learning in the classroom. Read more »

Event Information
Dates: 
Fri, 02/14/2014 - 12:00pm - 1:15pm
Location (Room): 
Johnson Rooms, 3rd Floor, Lurie Engineering Center (North Campus)
Presenter(s): 
Eric Mazur, Harvard
Eligible for Certificate: 
Not eligible for Certificate
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The great part of learning analytics research addresses questions of how to determine meaningful data traces and present them in a form that can be useful to educational decision makers. But even the best-constructed algorithms, visualizations and dashboards will not make a meaningful impact on education if they are not integrated into the core activities of teaching and learning they are intended to support. Working within the scope of the university course, I present several different ways in which learning analytics tools and classroom pedagogy can be integrated--examining both how implementing learning analytics requires corresponding adjustments in learning design, and anticipating pedagogical needs that learning analytics system design can take into account. Particular attention will be paid to issues of student agency, reference frames for data interpretation, and learning analytics as a mediator of educational discourse. To ground the discussion, work from the E-Listening Project at Simon Fraser University will be presented as an initial example of a learning analytics application developed and implemented in a university course using such an integrated approach.

Alyssa Wise is an Associate Professor of Educational Technology and Research Design at Simon Fraser University. Read more »

Event Information
Dates: 
Fri, 02/07/2014 - 12:00pm - 1:15pm
Location (Room): 
Great Lakes Central (Palmer Commons 4th Floor)
Presenter(s): 
Alyssa Wise, Simon Fraser University
Eligible for Certificate: 
Not eligible for Certificate
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  • Using Learning Analytics to Coach Students to “Electrifying” Careers in Engineering
    Jamie Phillips and colleagues will discuss how they study the many factors that determine success for students in electrical engineering, as well as distinguishing characteristics for subdisciplines within electrical engineering. Student data analytics are employed to ultimately develop tools to aid in recruiting and advising in electrical engineering based on student grade performance, activities, and interests. 
     
  • Using Podcasts to Tailor Elementary Spanish Instruction
    Tatiana Calixto will present on the need to create online Learning Objects for Elementary Spanish for High Beginners to support students outside of the classroom, as well as the discovery of the most effective use of these 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.
 
Event Information
Dates: 
Fri, 01/24/2014 - 12:00pm - 1:15pm
Location (Room): 
Great Lakes Central (Palmer Commons 4th Floor)
Presenter(s): 
Justin Foley, Shanna Daly, Catie Lenaway, and Jamie Phillips; College of Engineering
Presenter(s): 
Tatiana Calixto, Department of Romance Languages and Literatures
Eligible for Certificate: 
Not eligible for Certificate
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Most analytics assumes large datasets are available and accessible. In practice one or both may not be true. What challenges do small-scale analytics present, and can they yield actionable data? Daniel Johnson presents the evidence collected from a Biobook, a Gates-funded iPad textbook.

Daniel Johnson is a Teaching Associate Professor of Biology at Wake Forest University, and his research focuses on biology education.

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
Dates: 
Fri, 01/17/2014 - 12:00pm - 1:15pm
Location (Room): 
Great Lakes Central (Palmer Commons 4th Floor)
Presenter(s): 
Daniel Johnson, Department of Biology, Wake Forest University
Eligible for Certificate: 
Not eligible for Certificate
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