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Lak18 - Driving Data Storytelling from Learning Design

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Lak18 - Driving Data Storytelling from Learning Design

  1. 1. Driving Data Storytelling from Learning Design Vanessa Echeverria, Roberto Martinez-Maldonado, Roger Granda, Katherine Chiluiza, Cristina Conati, Simon Buckingham Shum
  2. 2. “A learning dashboard is a single display that aggregates different indicators about learner(s), learning processes, or learning contexts into one or multiple visualisations” Learning Dashboards Schwendimann, et al., 2017
  3. 3. Growing concern about rolling out dashboards (Bodily & Verbert, 2017, Reimers & Neovesky, 2015) poor InfoViz design (Reimers & Neovesky, 2015) lack of users’ participation (Schwendimann, et al., 2017, Jivet el al., 2018) (Greller & Drachsler, 2012) (Bakharia et al., 2016) (Aguilar, 2016; Corrin & de Barba, 2015; Teasley, 2017) disconnection with the learning context and audience misalignment with the learning design data literacy requirements possible negative effects on learning!
  4. 4. Data storytelling principles www.forbes.com
  5. 5. Data storytelling principles Goal oriented
  6. 6. Data storytelling principles Focus of attention Knaflic - Storytelling with Data (2015)
  7. 7. Data storytelling principles Appropriate visual Knaflic - Storytelling with Data (2015)
  8. 8. Knaflic - Storytelling with Data (2015)
  9. 9. Knaflic - Storytelling with Data (2015)
  10. 10. Knaflic - Storytelling with Data (2015) Prescriptive title Narrative sColour
  11. 11. Knaflic - Storytelling with Data (2015)
  12. 12. Knaflic - Storytelling with Data (2015)
  13. 13. LinesDeclutter Data points
  14. 14. Data storytelling elements Description Heading Shows a straightforward message from the graph Lines to Emphasise relevant information Key data points Focus attention on key data Decluttering Remove elements that do not add value to the graph Text labels Add narratives to the graph Shaded areas Add context to a group of data points
  15. 15. Adapted from Verbert et al. Learning design driven conceptual model
  16. 16. Adapted from Verbert et al. Learning Design driven conceptual model Learning design driven data storytelling approach Data DS processing DS Visual analytics
  17. 17. Adapted from Verbert et al. Learning Design driven conceptual model Learning design driven data storytelling approach Data Learning design DS processing DS Visual analytics Data storytelling (DS) elements
  18. 18. Adapted from Verbert et al. Learning Design driven conceptual model Learning design driven data storytelling approach Data Learning design DS processing DS Visual analytics Learning intentions (rules) Data storytelling (DS) elements
  19. 19. Adapted from Verbert et al. Learning Design driven conceptual model Learning design driven data storytelling approach Data Learning design DS processing DS Visual analytics Responses Actions Analytics Learning intentions (rules) Data storytelling (DS) elements Questions
  20. 20. Equal participation Highlight where there are not equal participation Text label, colours, data points Learning design Learning intentions Data storytelling elements
  21. 21. Potential role that data storytelling elements play to support interpretations of visual learning analytics
  22. 22. Previous Study 15 students - 5 groups Collaborative Design activity Participation Performance
  23. 23. Collaborative Database Design Activity 15 undergrad. students Student – facing dashboards Learning Situation
  24. 24. Previous Study 15 students - 5 groups Collaborative Design activity Participation Performance 2 groups Data Storytelling Participation Performance
  25. 25. Participation
  26. 26. Performance
  27. 27. Previous Study Evaluation with teachers 15 students - 5 groups Collaborative Design activity Participation Performance 6 teachers M1: Focus of attention (Eye tracker) M2: Helpfulness of data storytelling elements (ranking tool) 2 groups Data Storytelling Participation Performance M3: Orchestration support and interpretation of stories (interview/think aloud)
  28. 28. M1: Focus of attention http://bit.ly/teachersHeatmaps
  29. 29. M1: Focus of attention http://bit.ly/teachersHeatmaps
  30. 30. M2: Helpfulness of data storytelling elements
  31. 31. M2: Helpfulness of data storytelling elements Add context to the visualisation
  32. 32. text labels "add noise and graph complexity" M2: Helpfulness of data storytelling elements prescriptive title carefully crafted, due to possible misunderstandings
  33. 33. "… these visualisations (with data storytelling elements) show me exactly what I need. I don’t have to guess what happened in the activity" M3: Orchestration support and interpretation of stories Interpretation
  34. 34. " … the visualization (with data storytelling elements) shows me what elements students have created very clearly, compared to the other (original )visualization " M3: Orchestration support and interpretation of stories Interpretation
  35. 35. " With the original visualisation, I would have to explore the whole visualisation in order to understand team’s performance" M3: Orchestration support and interpretation of stories Interpretation
  36. 36. " … the shaded area in the graph made me aware that groups took very different amounts of time to reflect and so, with this information, I would encourage students to reflect for a longer time before submitting a final version of the task" M3: Orchestration support and interpretation of stories Orchestration
  37. 37. " … the title in the graph made me think that this group needed to collaborate more equally" M3: Orchestration support and interpretation of stories Orchestration
  38. 38. Summary Learning design driven data storytelling approach Data Learning design DS processing DS Visual analytics Responses Actions Analytics Learning intentions (rules) Data storytelling (DS) elements Questions
  39. 39. Summary Learning design driven data storytelling approach Data Learning design DS processing DS Visual analytics Responses Actions Analytics Learning intentions (rules) Data storytelling (DS) elements Questions
  40. 40. Equal participation Highlight where there are not equal participation Text label, colours, data points Learning design Rules Data storytelling elements participant = dominates(P1,P2,P3, time) msg = ‘participant %d did not have an equal participation during %d time’, (participant,time) Learning intentions
  41. 41. Implementation of learning design rules Generate dashboard close to real time Look impact on debriefing to teachers/learners Further directions
  42. 42. Thanks! @vanechev vanessa.i.echeverriabarzola@student.uts.edu. au utscic.edu.au

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