Oer sbli genetic analysis
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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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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


Feedback

Feedback


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


Web support page

Web Support page


Sbl server

SBL Server


Sbl server1

SBL Server


Sbl server2

SBL Server


Sbl server options

SBL Server Options


Find the monster

Find the monster


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