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Kate Breakey, Kathy Hentges, Dan Levin & Ian Miller Faculty of Life Sciences, University of Manchester. OER: SBLi Genetic Analysis. Supported by University of Queensland. Rationale. No practical to support lectures Practicals changed to degree-specific format

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oer sbli genetic analysis

Kate Breakey, Kathy Hentges, Dan Levin & Ian MillerFaculty of Life Sciences, University of Manchester.

OER: SBLi Genetic Analysis

Supported by University of Queensland

rationale
Rationale
  • No practical to support lectures
  • Practicals changed to degree-specific format
  • Student experience improved by active learning
  • Student feedback improved
  • Continued revision throughout course unit
content summary
Content Summary
  • Scenario-based
  • Students play role of postgraduate researcher
  • Students navigate through scenarios making choices about experiments
  • Quiz questions throughout scenario based on interpretation of experimental results
  • Incorporate a pretend model organism so students must apply knowledge - not constrained by biological limitations
genetic analysis resources
Genetic Analysis Resources
  • Five Scenarios (~1hr each)
  • 5 x question sets (available in IMS and word document formats)
  • Image collection
  • Scenario Hosting and Support
  • Additional Information
how to proceed
How to proceed
  • View scenarios to gauge suitability
  • http://sbli.ls.manchester.ac.uk/OER
  • Look in to adapting scenarios if required
  • SBLi Builder software available on request
  • Look into hosting original/modified scenarios
  • Demo management account available at:
    • http://sbli.ls.manchester.ac.uk/OERDemo
    • Username: oerdemo / Password: admin
  • Request scenario hosting
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