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OER: SBLi Genetic Analysis

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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  1. Kate Breakey, Kathy Hentges, Dan Levin & Ian MillerFaculty of Life Sciences, University of Manchester. OER: SBLi Genetic Analysis Supported by University of Queensland

  2. 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

  3. 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

  4. Feedback

  5. 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

  6. 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

  7. Web Support page

  8. SBL Server

  9. SBL Server

  10. SBL Server

  11. SBL Server Options

  12. Find the monster

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