AIM Analytics: U-M Community Presentations

Join us on Monday, December 4 from 12:00 to 1:30 p.m. in the Hatcher Gallery of the Hatcher Graduate Library (913 S. University Ave.) for AIM Analytics.

AIM Analytics was created to bridge the gaps in the support of UM learning analytics researchers with respect to the building of technical skills, sharing knowledge of educational datasets, and facilitating collaborative investigations.

For this event, we welcome members of the U-M community to share “late breaking work” within their departments.

Presentations will include:

  • Measuring the Pros and Cons of a Blended Course by Perry SamsonArthur F Thurnau Professor, Professor of Climate and Space Sciences and Engineering, College of Engineering and Professor of Information, School of Information
  • Sentiment Analysis of Student Evaluations, and (separately) the Impact of Peer Feedback/Grades on TA Feedback/Grades by Heather NewmanDirector of Marketing and Communications, School of Information
  • The U-M Learning Analytics Architecture (LARC) Dataset: What is it, How to Access it, and How it Enables LA Research by Steve LonnDirector of Enrollment Research and Data Management
  • Predicting Short- and Long-Term Vocabulary Learning via Semantic Features of Partial Word Knowledge by SungJin NamGraduate Student Research Assistant, School of Information
  • Social Comparison Theory as Applied to MOOC Student Writing: Constructs for Opinion and Ability by Heeryung Choi, Graduate Student Research Assistant, School of Information
  • Scale MOOC Discourse Analysis with In Situ Coding by Phoebe Liang, Graduate Student Research Assistant, School of Information

For a description of each of the presentations, please click here.



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