Department of Bioinformatics - BiGCaT 1Correlating time spent onexercises with exam results inProtein Structure educationE...
Department of Bioinformatics - BiGCaT 2Disclaimer• I am an interested scientist...– Basic Teaching Qualification– … with i...
Department of Bioinformatics - BiGCaT 3Context of this study• To learn about the variation within thestudent population– B...
Department of Bioinformatics - BiGCaT 4A uniform student population?Source: WikiPedia
Department of Bioinformatics - BiGCaT 5But what about bimodal? Or ...Source: WikiPedia
Department of Bioinformatics - BiGCaT 6Cognitive Load1. Learning goals– “Intrinsic cognitive load”2. Learning the tools– “...
Department of Bioinformatics - BiGCaT 7Teaching Protein Structure
Department of Bioinformatics - BiGCaT 8Needs• Visualisation• Interactive• Records→ Bioclipse… JavaScript… yeah, sure does!
Department of Bioinformatics - BiGCaT 9Integration platform: BioclipseSpjuth, O et al. BMC bioinformatics 2007 8(1):59.
Department of Bioinformatics - BiGCaT 10Hanson, RM. Appl Cryst 2010 43(5):1250-1260.
Department of Bioinformatics - BiGCaT 11JavaScripting (...)
Department of Bioinformatics - BiGCaT 12“Cheat sheets”
Department of Bioinformatics - BiGCaT 13
Department of Bioinformatics - BiGCaT 14Recording & Reporting
Department of Bioinformatics - BiGCaT 15Results• Teaching material in a versatileenvironment• It can record and report pro...
Department of Bioinformatics - BiGCaT 16Acknowledgements• Uppsala University– Ola Spjuth, JonathanAlvarsson, Arvid Berg• J...
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Correlating time spent on exercises with exam results in Protein Structure education

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My #ACSNola presentation on the work I am doing to make Bioclipse ready for the Protein Structure education I am doing at Maastricht University.

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  • Interesting. I look forward to seeing what becomes of this.
    I set up an interactive project for my kinetics class this semester (web-based simulated experiments, through which the students had to deduce the chemical mechanism and rate laws). I know the exact time of each experiment (many of them were at 2am the morning the report was due!) so could query the data in a similar way. There are so many confounding factors though, one would have to be very careful drawing conclusions.
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Correlating time spent on exercises with exam results in Protein Structure education

  1. 1. Department of Bioinformatics - BiGCaT 1Correlating time spent onexercises with exam results inProtein Structure educationEgon Willighagen, @egonwillighagenDept. of Bioinformatics - BiGCaT - Maastricht Universityorcid.org/0000-0001-7542-0286ACS New Orleans, 10 April 2013, #ACSNola
  2. 2. Department of Bioinformatics - BiGCaT 2Disclaimer• I am an interested scientist...– Basic Teaching Qualification– … with interest in getting studentssmarter• The data is not ready yet :(
  3. 3. Department of Bioinformatics - BiGCaT 3Context of this study• To learn about the variation within thestudent population– By recording what they do• To increase the internal motivation byencouraging to their interest– By allowing them to go beyond thelearning goals
  4. 4. Department of Bioinformatics - BiGCaT 4A uniform student population?Source: WikiPedia
  5. 5. Department of Bioinformatics - BiGCaT 5But what about bimodal? Or ...Source: WikiPedia
  6. 6. Department of Bioinformatics - BiGCaT 6Cognitive Load1. Learning goals– “Intrinsic cognitive load”2. Learning the tools– “Extraneous cognitive load”J. Leppink et al. Behavior ResearchMethods, 2013, p1-15
  7. 7. Department of Bioinformatics - BiGCaT 7Teaching Protein Structure
  8. 8. Department of Bioinformatics - BiGCaT 8Needs• Visualisation• Interactive• Records→ Bioclipse… JavaScript… yeah, sure does!
  9. 9. Department of Bioinformatics - BiGCaT 9Integration platform: BioclipseSpjuth, O et al. BMC bioinformatics 2007 8(1):59.
  10. 10. Department of Bioinformatics - BiGCaT 10Hanson, RM. Appl Cryst 2010 43(5):1250-1260.
  11. 11. Department of Bioinformatics - BiGCaT 11JavaScripting (...)
  12. 12. Department of Bioinformatics - BiGCaT 12“Cheat sheets”
  13. 13. Department of Bioinformatics - BiGCaT 13
  14. 14. Department of Bioinformatics - BiGCaT 14Recording & Reporting
  15. 15. Department of Bioinformatics - BiGCaT 15Results• Teaching material in a versatileenvironment• It can record and report progress ofthe student (e.g. to a central server)• The timing results give us amultivariate view on the studentpopulation
  16. 16. Department of Bioinformatics - BiGCaT 16Acknowledgements• Uppsala University– Ola Spjuth, JonathanAlvarsson, Arvid Berg• Jmol– Bob Hanson, NicolasVervelle, AngelHerraez• http://bioclipse.net• http://jmol.org@egonwillighagenorcid.org/0000-0001-7542-0286egonw.github.com
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