• 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.

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.