SolarStormTalkDuyguSimsek

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SolarStormTalkDuyguSimsek

  1. 1. Helping Citizen Scientists Read and Write Like Scientists:Learning Analytics & Authentic Enquiry Duygu Simsek duygu.simsek@open.ac.uk http://people.kmi.open.ac.uk/simsek/ PhD Research Student Knowledge Media Institute The Open University, UK uk.linkedin.com/in/duygusimsek @duygusimsekPhD
  2. 2. http://www.open.ac.uk/blogs/openscience/ Practical Science Outside the Laboratory App App App App App LA LA LA LA LA Duygu Simsek duygu.simsek@open.ac.uk
  3. 3. Outline: Overview of Citizen Science  What is it?  What are the example projects?  What is the role of citizens in these projects? Aims of the PhD Project Approaches & Methods  Brief overview of Authentic Enquiry  Relevant analytics technologies  Cohere  XIP  OpenMentor Suggestions and Ideas Duygu Simsek duygu.simsek@open.ac.uk
  4. 4. Citizen Science: Citizen science:  Scientific research conducted by non-professionals (citizens) who mainly volunteer or are sometimes deployed by professional researchers to participate in the data collection and classification processes of a project. Successful Citizen Science Projects: http://www.galaxyzoo.org/ http://www.ispot.org.uk/ Duygu Simsek duygu.simsek@open.ac.uk
  5. 5. Citizens’ Involvement: When scientific projects invite citizen engagement, it is mainly for gathering and classifying data. It usually doesn’t go beyond that. We want to support citizens to engage with different aspects of the scientific ecosystem.  They can engage with the literature, reading & critically evaluating it as a scientist, produce their own evidence-based arguments and claims and communicate the results in a written format.  Nobody has tried developing citizen scientists in this way before.  And no one has used learning analytics to support the learning processes of citizens. So another key element of this work will be using learning analytics to provide feedback to citizens. Duygu Simsek duygu.simsek@open.ac.uk
  6. 6.  Aims:  Enabling citizens to become citizen scientists.  Developing citizens’ everyday language and scientific thinking, reading and writing abilities. Duygu Simsek duygu.simsek@open.ac.uk
  7. 7. Approaches & Methods: Citizens’ Scientific Critical thinking Reading Abilities Writing Duygu Simsek duygu.simsek@open.ac.uk
  8. 8. Approaches & Methods: Using Web 2.0:  Creating Arguments & Inquiry-based Claims  Annotating Documents Process  Science Blogging  Reflective Writing Citizens’ Scientific Critical thinking Reading Abilities Writing Duygu Simsek duygu.simsek@open.ac.uk
  9. 9. Approaches & Methods: Providing automated timely feedback for citizens. Learning Analytics Understanding how citizens learn through this process. Using Web 2.0:  Creating Arguments & Inquiry-based Claims  Annotating Documents Process  Science Blogging  Reflective Writing Citizens’ Scientific Critical thinking Reading Abilities Writing Duygu Simsek duygu.simsek@open.ac.uk
  10. 10. Authentic Enquiry: “Approach to learning which begins with the learner’s interest and experience, rooted in concrete place object or artefact and moves from there through a process of facilitated knowledge construction, to a particular negotiated outcome which meets publicly agreed assessment criteria.” http://learningemergence.net/about/authentic-enquiry/ “Authentic” because it is authored by the learner and because it is real and genuine in their life story. We are considering using this approach because it  Stimulates curiosity  Increases engagement  Is based on personal interest  Enables knowledge construction Duygu Simsek duygu.simsek@open.ac.uk
  11. 11. Candidate Analytics Technologies: Cohere Discourse-centric Learning Analytics A web application for http://cohere.open.ac.uk/  social bookmarking  annotating web resources collaboratively  making meaningful connections between ideas (idea-linking)  visualising argumentation Cohere allows its users to make sense of complex issues. Duygu Simsek duygu.simsek@open.ac.uk
  12. 12. Candidate Analytics Technologies: Cohere Discourse-centric Learning Analytics A web application for http://cohere.open.ac.uk/  social bookmarking  annotating web resources collaboratively  making meaningful connections between ideas (idea-linking)  visualising argumentation. Cohere allows its users to make sense of complex issues. Duygu Simsek duygu.simsek@open.ac.uk
  13. 13. Candidate Analytics Technologies: Cohere Discourse-centric Learning Analytics A web application for http://cohere.open.ac.uk/  social bookmarking  annotating web resources collaboratively  making meaningful connections between ideas (idea-linking)  visualising argumentation. Cohere allows its users to make sense of complex issues. Duygu Simsek duygu.simsek@open.ac.uk
  14. 14. Candidate Analytics Technologies: Cohere Discourse-centric Learning Analytics A web application for http://cohere.open.ac.uk/  social bookmarking  annotating web resources collaboratively  making meaningful connections between ideas (idea-linking)  visualising argumentation. Cohere allows its users to make sense of complex issues. Duygu Simsek duygu.simsek@open.ac.uk
  15. 15. Candidate Analytics Technologies: XIP (Xerox Incremental Parser) Textual (Discourse) Analysis Analytics for scholarly writing. http://open.xerox.com/Services/XIPParser XIP carries out linguistic analysis (parsing) of text documents. Discourse analysis within documents:  Sentence detection based on rhetorical markers Duygu Simsek duygu.simsek@open.ac.uk
  16. 16. Candidate Analytics Technologies: XIP (Xerox Incremental Parser) Textual (Discourse) Analysis Analytics for scholarly writing. http://open.xerox.com/Services/XIPParser XIP carries out linguistic analysis (parsing) of text documents. Discourse analysis within documents:  Sentence detection based on rhetorical markers Duygu Simsek duygu.simsek@open.ac.uk
  17. 17. Candidate Analytics Technologies: XIP (Xerox Incremental Parser) Textual (Discourse) Analysis Analytics for scholarly writing. HUMAN ANNOTATION http://open.xerox.com/Services/XIPParser XIP carries out linguistic analysis (parsing) of text documents. Discourse analysis within documents:  Sentence detection based on rhetorical markers Duygu Simsek duygu.simsek@open.ac.uk
  18. 18. Candidate Analytics Technologies: XIP (Xerox Incremental Parser) Textual (Discourse) Analysis Analytics for scholarly writing. HUMAN ANNOTATION http://open.xerox.com/Services/XIPParser MACHINE ANNOTATION XIP carries out linguistic analysis (parsing) of text documents. Discourse analysis within documents:  Sentence detection based on rhetorical markers Duygu Simsek duygu.simsek@open.ac.uk
  19. 19. Candidate Analytics Technologies: OpenMentor Feedback system to deliver meaningful assessment to students An open source mentoring tool for http://openmentor.kcl.ac.uk/openmentor-web/ tutors to:  Help them to reflect on the quality of the feedback they give their students on online submitted assignments.  Analyse tutor’s feedback based on categories: positive/negative reactions, questions and attempted answers.  Provide analysis reports to show and enhance tutor’s feedback styles. Duygu Simsek duygu.simsek@open.ac.uk
  20. 20. Suggestions & Ideas? Have you ever heard of or used similar tools that you can recommend to me that could enhance scientific reading and writing abilities of trainee scientists? Duygu Simsek duygu.simsek@open.ac.uk
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