Software Tools for Academics & Researchers : Deeper Learning through bridging the divide between the research laboratory and the classroom using interactive technology.

1. star Software Tools for Academics & Researchers Bridging the divide between Laboratory & Classroom Stacie L. Bumgarner, Ph.D. MIT Biology Department & MIT Office of Educational Innovation and Technology (OEIT)

2. Students learn… 10% of what they hear 30% of what they see 60% of what they hear & see 80% of what they hear, see, & do 100% of what they hear, see, do, smell, feel, taste… By Ronald A. Berk Professors are from Mars. Students are from Snickers.

3. The Goal: Expose students to the discovery aspect of research and to the processes of doingresearch.

4. The Goal: Expose students to the discovery aspect of research and to the processes of doingresearch. The Challenge: Bridge the divide between the research laboratoryand the classroomusing interactive technology.

5. Whoare we? star Software Tools for Academics & Researchers MIT Faculty & Research Scientists Dean of Undergraduate Education Office of Educational Innovation & Technology (OEIT) What are we doing? Designing interactive educational software toolsfor use INSIDE & OUTSIDE of classrooms

6. http://web.mit.edu/star star@mit.edu star Software Tools for Academics & Researchers StarBiochem StarMolSim protein visualization materials modeling StarGenetics StarHydro genetic cross simulator hydrology visualization StarOrf StarHPC gene finder parallel programming

7. star Software Tools for Academics & Researchers Biology Tools 1Educational goals 2Design process 3Functionality 4Access

8. Educational goals Teaching protein structure and function in a classroom StarBiochem: protein structure explorer Teaching experimental design & data interpretation without a laboratory StarGenetics: virtual genetics lab

9. Design Process Collaborations between MIT faculty & OEIT StarBiochemProfessor Graham Walker Introductory Biology Series StarGeneticsProfessor Chris Kaiser Genetics Graduate Student Bridge Program

10. Design Process Star software answers limitations of other available software: Research Unfamiliar jargon Not user-friendly Educational Windows functionality only Tutorials with limited views/manipulations Not customizable for content chosen by instructor

11. star Software Tools for Academics & Researchers Biology Tools 1Educational goals 2Design process 3Functionality 4Access

12. StarBiochem protein structure explorer

13. StarBiochem protein structure explorer Website: http://web.mit.edu/star/biochem/ Platform independent (Windows, Mac, Unix/Linux) Designed for educational purposes with students in mind Can import >54,000 Protein Data Bank structures

14. StarGenetics genetic cross simulator

15. StarGenetics genetic cross simulator Website: http://web.mit.edu/star/genetics/ Platform independent (Windows, Mac, Unix/Linux) Simulates actual experimental process Provides affordable, meaningful virtual laboratory component when resources are limited Fast! In minutes, simulates realistic experiments that would require months to perform with live organisms Organisms: fruit flies, yeast, bacteria (~2011)

16. Access Software & Exercises Available free of charge on the internet StarBiochemhttp://web.mit.edu/star/biochem StarGeneticshttp://web.mit.edu/star/genetics

17. Access User Manual Video tutorial Exercises StarBiochemhttp://web.mit.edu/star/biochem StarGeneticshttp://web.mit.edu/star/genetics

18. star Software Tools for Academics & Researchers User Statistics: Worldwide for Time Period: October 18, 2009 – October 18 , 2010 Total Visits:26,694 Continent Visits Americas 20,491 Europe 3715 Asia 2040 Oceana 289 Africa 131 Antarctica 28

19. star Software Tools for Academics & Researchers User Statistics: Haiti for Time Period: October 18, 2009 – October 18 , 2010 Country Visits Puerto Rico 108 Dom Repub 6 Cuba 6 Trin Tobago 3 Haiti 2 Dominica 1 Jamaica 1 Barbados 1 Bahamas 1

20. Example Users: Undergraduate students Introductory Biology (MIT, Howard University) Introductory Biology Lab (Brandeis University) Introductory Genetics & Lab (Suffolk University) High school students MIT Museum (MIT) High School Outreach Program (Broad Institute) High School Fieldtrips (MIT Biology Department)

21. Acknowledgements star@mit.edu http://web.mit.edu/star Star Team@OEIT Lourdes Aleman Sara Bonner Stacie Bumgarner Rocklyn Clarke Ivan Ceraj Justin Riley Chuck Shubert Biology Department Chris Kaiser Graham Walker DiviyaSinha OEIT Vijay Kumar Molly Ruggles Collaborators Melissa Kosinski-Collins Megan Rokop Kathy Vandiver Collaborating Institutions Brandeis University Broad Institute Outreach Program Howard University MIT Museum Suffolk University Tufts University Outside Funding HHMI Davis Educational Foundation