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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

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Kate Breakey, Kathy Hentges, Dan Levin & Ian MillerFaculty 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

  • Student experience improved by active learning

  • Student feedback improved

  • Continued revision throughout course unit


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


Feedback


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

  • 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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