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.

In the second SLAM presentation, Michael Hortsch and collaborators will present the results from their research which explores how first year medical and dental students at the University of Michigan make choices from among an array of study resources, both traditional and electronic, for learning the basic science subject of histology or microanatomy. Dr. Hortsch and his team will also discuss how the use of these didactic aids correlates with students' quiz and examination results. Michael Hortsch is Associate Professor of Cell and Developmental Biology and Medical Education, University of Michigan Medical School. Collaborators include Louisa Holaday (M3), Stephanie Johnson (D3), Daniel Selvig (M4) and Joel Purkiss, University of Michigan Medical School.

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.