#BbWorld17 – Course Design Patterns: Latent Class Analysis with Opensource BbStats

Session Description: Fostering the adoption of teaching and learning technologies requires taking stock of how faculty use the LMS through a process that is reproducible, reliable, and affordable. Studies in student activity patterns, such as the recent Patterns in Blackboard Learn tool use: Five Course Design Archetypes, help us to understand evidence of use. But what about the ways that faculty design courses before any student activity takes place? This session will explore a case study at University of Illinois at Chicago in which course design patterns in Blackboard Learn were derrived using BbStats and Latent Class Analysis.

Speakers: 

  • Elizabeth Romero Fuerte, University of Illinois at Chicago
  • Alena Steffen, University of Illinois at Chicago 
  • Szymon Machajewski, University of Illinois at Chicago, Grand Valley State University

Notes:

  • BbStats is an opensource and free Building Block for institutions using Blackboard. It provides a wide array of usage data.  More information and a download package is available on Ocelot.
  • Here are some sample BbStats reports:


  • Data collected: announcements, assessments, assignments, content, discussion forums, gradebook columns, blogs/wikis
  • Sample size: n=2,561



Conclusions

  • Content was present in nearly all courses.
  • Colleges with more online courses fell in group 1 (holistic tool use).
  • Half of coures show a complementary tool use pattern.
  • Most F2F classes using Blackboard fell into group 2 (complimentary tool use) and group 3 (content repository).

Next Steps

  • LMS governance board
  • UIC innovation center
  • PD for faculty
  • LMS roadmap for UIC
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One thought on “#BbWorld17 – Course Design Patterns: Latent Class Analysis with Opensource BbStats

  1. Pingback: Top 5 Blackboard Conference Highlights #BbWorld17 | eLearning and Emerging Technologies @GVSU

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