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+                      A2 DataDive 2012  Project: African Health OER Network          group: content-focus (AHON)all conte...
+    original sources:       RESEARCH QUESTIONS:                DATA       How often are the resources        Google A...
+                       two groups:    INDIVIDUALS                                    &    (Gin Corden, Lettie Malan, Rodg...
+    several projects overall     word     frequency     word     frequency by video, content by video     top        1...
+    tools used       R, and various R libraries       GraphViz       .csv files and text input       SAS       SPSS ...
+    specific output       Visualizations of word frequency in Youtube comments       Plots and boxplots of engagement t...
visualization of greatest word frequency in AHON Youtube video comments – from wordle.com
video comment word frequency – stacked histogram (R, ggplot)
engagement in top 10 youtube videos
Video Legend         Episiotomy Repair: Infiltration anaesthesia at the time ofVideo 1         crowningVideo 2 Real-Time P...
+    some take-away points       There may be different values attached to different forms of        engagement in differ...
+    questions for further research       What does the variety of engagement with video content by        geography sugg...
A2DataDive: African Health OER Network - Content Focus
A2DataDive: African Health OER Network - Content Focus
A2DataDive: African Health OER Network - Content Focus
A2DataDive: African Health OER Network - Content Focus
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A2DataDive: African Health OER Network - Content Focus

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Final presentation from the A2 Data Dive. Feb. 10- 12, 2012. visit the wiki for more information: http://wiki.datawithoutborders.cc/index.php?title=Project:Current_events:A2_DD

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A2DataDive: African Health OER Network - Content Focus

  1. 1. + A2 DataDive 2012 Project: African Health OER Network group: content-focus (AHON)all content in this presentation is licensed under a CreativeCommons Attribution CC:BY license.
  2. 2. + original sources:  RESEARCH QUESTIONS:  DATA  How often are the resources  Google Analytics data being accessed? From where? When?  Youtube analytics/stats – geographic, text  Can we see geographically how fields, engagement the resources are being disbursed?  CiviCRM data on material creators, events  How actively engaged are our content creators?  Detailed word doc describing data  Etc.
  3. 3. + two groups: INDIVIDUALS & (Gin Corden, Lettie Malan, Rodger Devine, Mandar Gokhale, Kathleen CONTENT Omollo [client]) (Jude Yew, Brian Vickers, Derrick TOOLS USED: Lin, Whitney K, Lidia, Tawfig, Jackie Cohen, Kathleen Omollo [client]) -R TOOLS USED: - Convert from CVS to Pajek - R - Pajek - SAS - GUESS - SPSS - GEFI - Excel - Google Fusion - Python
  4. 4. + several projects overall  word frequency  word frequency by video, content by video  top 10 Youtube Videos – engagement by country  site traffic trends  viewers’ gender and age trends
  5. 5. + tools used  R, and various R libraries  GraphViz  .csv files and text input  SAS  SPSS  Excel  Python  Wordle  …and various knowledge/ideas/energy
  6. 6. + specific output  Visualizations of word frequency in Youtube comments  Plots and boxplots of engagement types by country and continent  Charts of site traffic trends  KPI (Key Performance Indicator) charts  Beginnings of R and Python scripts to produce data that may be used for new visualizations and statistical analyses
  7. 7. visualization of greatest word frequency in AHON Youtube video comments – from wordle.com
  8. 8. video comment word frequency – stacked histogram (R, ggplot)
  9. 9. engagement in top 10 youtube videos
  10. 10. Video Legend Episiotomy Repair: Infiltration anaesthesia at the time ofVideo 1 crowningVideo 2 Real-Time Polymerase Chain ReactionVideo 3 Enzyme-Linked Immunosorbent AssayVideo 4 Intro to Polymerase Chain Reaction Examination of the Pregnant Woman: Examination of theVideo 5 chest Examination of the Pregnant Woman: Examination of theVideo 6 pregnant abdomenVideo 7 Enzyme immunoassay to detect antigens Examination of the Pregnant Woman: Reporting theVideo 8 Obstetric Abdominal ExaminationVideo 9 Caesarean Section: Closure of the abdomenVideo 10 Episiotomy Repair: Episiotomy and delivery of the baby
  11. 11. + some take-away points  There may be different values attached to different forms of engagement in different areas of the world – meaning different takeaways from content analysis  AHON can look at trends of language in comments (for example) by video  Access to answers to questions like: what videos are people most outwardly grateful for? In what videos is the content being most discussed, and which content?  With access to scripts like these, AHON in turn has access to data which can more easily be displayed and analyzed
  12. 12. + questions for further research  What does the variety of engagement with video content by geography suggest?  Can site traffic and time depth information be measured more accurately or should it be measured differently?  Is there surprising data regarding gender, age, demographic information with respect to engagement with content?  How can AHON best use increased knowledge about network connections in combination with content engagement and views?

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