Relevant Information and Information Visualization for Lecturers in Web‐Based Audience Response Systems
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The document discusses improving an existing audience response system (ARS) called RealFeedback for lecturers. It analyzes RealFeedback's strengths and weaknesses by comparing it to other systems and interviewing lecturers. Key findings are that lecturers want to be able to view sessions from previous classes, mark answers as correct, see visualizations of the number of votes and voting speed. The document proposes visualizing this information through additions to RealFeedback's hierarchy and interface.
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Relevant Information and Information Visualization for Lecturers in Web‐Based Audience Response Systems
- 1. 1 Relevant Informa.on and Informa.on Visualiza.on for Lecturers in Web-‐Based Audience Response Systems Karin Pichler karin.pichler@cnc.io 20th of June 2013
- 2. 2 How can the exis.ng ARS RealFeedback be improved for the lecturer?
- 3. 3
- 4. 4 History
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- 7. 7 How can the exis.ng ARS RealFeedback be improved for the lecturer?
- 8. 8 • Comparison • Interviews • VisualizaLons for the findings Steps
- 9. 9 Comparison
- 10. 10 Strengths • Clear interface • Ease of voLng • Votes are hidden • Downloadable report • Anonymous voLng • Free to use Weaknesses • QuesLon types • Mark answers correct • Response possibiliLes • Previous sessions • StaLsLcs visualizaLon Strengths & Weaknesses
- 11. 11 • Comparison • Interviews • VisualizaLons for the findings Steps
- 12. 12 Interviews
- 13. 13 Missing feature men2oned Visualize number of votes 4 Defining correct answer 3 Compare sessions 3 Mobile applicaLon 1 Taking notes 1 Visualize voLng speed 1 Missing features
- 14. 14 Findings Interview & Comparison
- 15. 15 Comparison Interview Sessions missing Compare sessions Mark answers correct Defining correct answer StaLsLc visualizaLon Visualize number of votes StaLsLc visualizaLon Visualize voLng speed Response possibiliLes Mobile applicaLon Taking notes Interview & Comparison
- 16. 16 • Sessions • Mark answers correct • Number of votes • VoLng speed Overall Findings
- 17. 17 • Comparison • Interviews • VisualizaLons for the findings Steps
- 19. 19 Sessions -‐ VisualizaLon
- 20. 20 Stacked bar chart
- 21. 21 • Comparison • Interviews • VisualizaLons for the findings Steps
- 22. 22 ImplementaLon
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- 24. 24 How can the exis.ng ARS RealFeedback be improved for the lecturer?
- 25. 25 Conclusion & Future Work Sessions Mark answers correct Number of votes VoLng speed
- 26. 26 Thank you! Karin Pichler karin.pichler@cnc.io
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