Advancing the Design ofKnowledge-Building Software    Bodong Chen, Monica Resendes, Maria Chuy, Katerine Bielaczyc,       ...
Multiple Perspectives, Creating Connections   Advanced Knowledge      Embedded and Multiple Literacies,  and Public Knowle...
Overview• Tagging Key and Promising Ideas• Scaffolds• Visualization• Concurrent, embedded, and transformative  assessment
Promising Ideas toolTagging Key and Promising Ideas
Keywords
To Tag Promising Ideas?• Promisingness evaluation (Bereiter & Scardamalia, 1993; Bereiter, 2002)• A need to identify promi...
Promising Ideas tool• Design-based research (Brown, 1992; Collins, 1992)                                                  ...
Promising Ideas list:Promising Ideas tool                       1. Promising ideas listed                       2. Choose ...
Pilot study 1: Grade 5/6 (Chen et al., 2011)• 83 “promising ideas” from 207 notes    70.00%    60.00%    50.00%    40.00% ...
Export ideas to a new view                             Export selected                             ideas to a new         ...
Pilot study 2: Grade 3• Promisingness treatment module• “Progressive use”   – two iterations of “writing-tagging-exporting...
Improve scaffoldsScaffold TrackerScaffolds
1. Frequency of scaffold useScaffold Tracker   2. Embellishment icons                   3. Dynamic filter                 ...
Future directions• “Dynamic promotion” of scaffolds• Epistemic agency?
Content ClassificationSemantic AnalysisCognitive Diagnostic AssessmentConcurrent, Embedded, and TransformativeAssessment
Automated detection of “ways ofcontributing”?• Content classification• TagHelper (Rosé et al, 2008)
Automated detection of misconceptions?• Misconceptions in KF  – Healthcare (Lax et al., 2010)                             ...
Conclusion• A single analysis or technique cannot do it• Technology alone cannot do it• Need for collaboration across teams
Bodong Chenbodong.chen@utoronto.ca
Advancing the design of knowledge-building software
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Advancing the design of knowledge-building software

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Advancing the design of knowledge-building software.
Presented at CSCL 2011 Symposium: Enhancing the Social and Cognitive Benefits of Digital Tools and Media.

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Advancing the design of knowledge-building software

  1. 1. Advancing the Design ofKnowledge-Building Software Bodong Chen, Monica Resendes, Maria Chuy, Katerine Bielaczyc, Huang-Yao Hong, Marlene Scardamalia, Carl Bereiter
  2. 2. Multiple Perspectives, Creating Connections Advanced Knowledge Embedded and Multiple Literacies, and Public Knowledge Processes, Rise-Above transformative And Teamwork and Improvable Ideas assessment Graphical view Scaffolds Rise-above Analytic tools Multimedia note Review Build-on Revision Co-authorship Annotation Problem Keyword Reference
  3. 3. Overview• Tagging Key and Promising Ideas• Scaffolds• Visualization• Concurrent, embedded, and transformative assessment
  4. 4. Promising Ideas toolTagging Key and Promising Ideas
  5. 5. Keywords
  6. 6. To Tag Promising Ideas?• Promisingness evaluation (Bereiter & Scardamalia, 1993; Bereiter, 2002)• A need to identify promising ideas A case study on Grade 3s’ discourse
  7. 7. Promising Ideas tool• Design-based research (Brown, 1992; Collins, 1992) Identifying ideas: 1. Click 2. Choose a color 3. Highlight an idea 4. The idea gets highlighted and goes to the box
  8. 8. Promising Ideas list:Promising Ideas tool 1. Promising ideas listed 2. Choose a specific color list 3. Number of hits 4. Link backwards to notes
  9. 9. Pilot study 1: Grade 5/6 (Chen et al., 2011)• 83 “promising ideas” from 207 notes 70.00% 60.00% 50.00% 40.00% 30.00% 20.00% 10.00% 0.00% Theories Facts/Evidence Questions
  10. 10. Export ideas to a new view Export selected ideas to a new view
  11. 11. Pilot study 2: Grade 3• Promisingness treatment module• “Progressive use” – two iterations of “writing-tagging-exporting”• Preliminary results – less facts/evidence – improved coverage of domain content 0.3 Cosine similarity measures 0.25 0.2 0.15 soil2011old 0.1 soil2011new 0.05 0 soilbithere soilcurr soilepa soilusda soilwiki Expert corpus
  12. 12. Improve scaffoldsScaffold TrackerScaffolds
  13. 13. 1. Frequency of scaffold useScaffold Tracker 2. Embellishment icons 3. Dynamic filter 4. Live update
  14. 14. Future directions• “Dynamic promotion” of scaffolds• Epistemic agency?
  15. 15. Content ClassificationSemantic AnalysisCognitive Diagnostic AssessmentConcurrent, Embedded, and TransformativeAssessment
  16. 16. Automated detection of “ways ofcontributing”?• Content classification• TagHelper (Rosé et al, 2008)
  17. 17. Automated detection of misconceptions?• Misconceptions in KF – Healthcare (Lax et al., 2010) Source: http://www.knowledgeforum.com/Kforum/inAction.htm• Semantic Analysis – Focus on predicates (Slotta et al., 1995, 2006)
  18. 18. Conclusion• A single analysis or technique cannot do it• Technology alone cannot do it• Need for collaboration across teams
  19. 19. Bodong Chenbodong.chen@utoronto.ca

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