Part 10: Fall 2019 Labs

201 Learning Analytics (II) — 10.30.2019

On October 31, 2019, participants of the Active Teaching Lab continued the discussion on Learning Analytics (LA). The focus was on tips and strategies for using Canvas Analytics and other analytics options to improve your teaching and course design.


  • Course Design: LA can inform instructional design decisions with data on how students interact with online course materials.
  • Personalized Learning: Adaptive or individualized learning systems apply learning analytics to customize course content for learners. Like Facebook and Google ads, user profiles and other data can support targeted interventions.
  • Predict Student Performance: LA can attempt to predict learning performance to identify and target support for likely at-risk students. Data can prompt instructors to intervene early.
  • Visualize Activities: LA could produce data visualizations of online learning activity behavior to inform student and instructor motivations, practices, and efficiency.

For more information and resources, view the session’s activity sheet here.


The Active Teaching Lab is a Faculty Engagement program with sessions held on Wednesdays from 1:00-2:00pm and Fridays from 8:30-9:45am in the Middleton Building (1305 Linden Dr.), room 120. Check out upcoming Labs or read the recaps from past Labs. We build interdisciplinary conversations that are more emergent than a presenter and more dynamic than a panel — a conversation with colleagues sharing challenges, solutions, and experiments on topics selected by a variety of stakeholders.

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Active Teaching Lab eJournal Copyright © 2016 by DoIT Academic Technology and the UW-Madison Teaching Academy; Jennifer Hornbaker; John Martin; Julie Johnson; Karin Spader; Margaret Merrill; Margaret Murphy; and Jeffrey Thomas. All Rights Reserved.

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