With the Experience API we are able to collect more granular, high-resolution data from our learning tools and platforms. But once we have that data, how do we present it in ways that easily communicate the right insights to our stakeholders? In this presentation from the xAPI Cohort's Spring 2018 session, you'll find a brief historical survey of data visualizations, three keys to designing good data visualizations, and case studies of xAPI specific data visualizations and the insights they provided to organizations.

1. DataVisualization
and Learning
Analytics with xAPI
March 29, 2018 — #xAPI
Margaret Roth // @margaret_h_r

2. We’ve been
visualizing data for
hundreds of years.
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background data viz case studies q&a takeaways
The Tree of the Two
Advents, 1202

3. Geometry, 1587
We visualize data
so that we can
see patterns in
information.
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background data viz case studies q&a takeaways

4. But what makes
good data
visualization good?
Diagrams, 1854
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5. ØLet the user ask questions.
ØConsider how users will ask questions.
ØMake intuitive options for interaction that
allows for fluid exploration of the data.
1. Interactive
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background data viz case studies q&a takeaways

6. Diagrams, 1854The World Above Us,
2014
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7. Diagrams, 1854Yet Analytics xAPI LRS Timeline
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background data viz case studies q&a takeaways

8. ØHelp the user see relationships between
different variables.
ØConsider the visual space and all the
dimensions that you can reveal
information.
ØThink about color, size, shape, thickness,
opacity, and motion.
2. Multi-Dimensional
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background data viz case studies q&a takeaways

9. Diagrams, 1854
Buzzy
Drinks,
2013
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10. Diagrams, 1854
Yet Analytics xAPI LRS Statement Frequency
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11. Diagrams, 1854
Yet Analytics xAPI LRS Statements Over Time
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background data viz case studies q&a takeaways

12. ØUse visualization types that match your
data.
ØGood visualization conveys information in
a much smaller footprint than the same
data presented in tabular formats.
ØGraph types imply relationships, choose
ones that work with your data, not
against it.
3.Visually Efficient
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background data viz case studies q&a takeaways

13. Weather
Radials,
2014
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14. Learning Economic Social Index, 2016
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15. Yet Analytics xAPI LRS Outliers Graph
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background data viz case studies q&a takeaways

16. Public
Nursing
School
Measuring the
Effectiveness of
Instructional Content
with Granular
Learner Behavior
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background data viz case studies q&a takeaways

17. Problem
ØDeveloping the expertise of students in
diverse patient environment
ØFocused on in-person experiential
learning for students
ØWanted to incorporate online interactive
simulations and provide mobile learning
solutions
ØWanted more granular data
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background data viz case studies q&a takeaways

18. ØDevelop interactive eLearning modules
using Lectora
ØUse xAPI to collect granular data about
student response behavior and send
statements to theYet LRS
ØAnalyze and manipulate data inYet LRS
ØExport unified data to current BI workflow
to correlate and apply results
Solution
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background data viz case studies q&a takeaways

19. ØDevelop interactive eLearning modules
using Lectora
ØUse xAPI to collect granular data about
student response behavior and send
statements to theYet LRS
ØAnalyze and manipulate data inYet LRS
ØExport unified data to current BI workflow
to correlate and apply results
Solution
19
background data viz case studies q&a takeaways

20. ØMost students correctly identify findings
ØSome students ask more questions than they
need to and flag things that are not relevant
ØIdentification of significant findings does not
translate to correct decision making in
branching scenarios
ØMost students reject poor choices but many
get distracted by reasonable choices
Learning Analytics
Source: https://www.slideshare.net/slideshow/embed_code/key/cImyNV4uIAS2d1
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background data viz case studies q&a takeaways

21. Source: https://www.slideshare.net/slideshow/embed_code/key/cImyNV4uIAS2d1
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background data viz case studies q&a takeaways

22. ØInteractive eLearning modules enhance
instruction and improve learning analytics
ØCreates feedback loop for instructors so
they can identify necessary interventions
and personalize learning
ØEasy to collect learning analytics provide
foundation for long-term data-driven
instructional improvements
Outcomes “With xAPI it’s now possible to gain
insights into our students’ clinical
reasoning skills.Yet Analytics worked
closely with us and made it possible to
harness this new technology. ”
– Andrew Corbett, PhD
Source: https://www.slideshare.net/slideshow/embed_code/key/cImyNV4uIAS2d1
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background data viz case studies q&a takeaways

23. Reimagining
Performance
Assessment in
Personalized Learning
& Development
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background data viz case studies q&a takeaways

24. Problem
ØHad selected the best learning
tools and platforms
ØUsed a modular approach and
combined the components that
best suited their needs
ØDesigned a program and
curriculum to support self-paced,
self-directed, blended learning
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background data viz case studies q&a takeaways

25. ØEasy to understand for students, actionable
for teachers and other stakeholders
ØSeamless, single-sign-on, multi-permission
access structure
ØSecure data processing and storage
ØModular ecosystem approach for future
compatibility
Solution
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background data viz case studies q&a takeaways

26. Teacher – ProfessionalStudent – 9Years Old
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background data viz case studies q&a takeaways

27. Teacher – ProfessionalStudent – 9Years Old
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background xAPI case studies Q&A takeaways

28. Teacher – ProfessionalStudent – 9Years Old
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background xAPI case studies Q&A takeaways

29. Teacher – ProfessionalStudent – 9Years Old
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background xAPI case studies Q&A takeaways

30. Teacher – ProfessionalStudent – 9Years Old
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background data viz case studies q&a takeaways

31. Outcomes
ØReal-time insight into student progress
ØIndividual learner dashboards that empower
students and facilitate communication with
other stakeholders
ØRole-specific dashboards making it easy for
teachers, parents, and administrators to see
learner masteries across tools at a glance
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background data viz case studies q&a takeaways

32. Measuring Skill
Development
through a Multi-
Source Learning
Experience Interface
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background data viz case studies q&a takeaways

33. Problem
ØLearning content lives in an
overwhelming number of
locations
ØDifficult for learners to get the
content needed when it’s needed
ØInstructional designers lack
visibility into how resources are
used or if they are valuable
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background data viz case studies q&a takeaways

34. ØContent from different platforms and
hosting systems is searchable in a single
user interface
ØIndividual learners can track their
progress across content and playlists
ØContent creators and cohort leaders
are able to see engagement trends and
informal learning progress
Solution
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background xAPI case studies Q&A takeaways

35. Curated Playlists Created by InstructorsUnified Search Portal for Learners
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background xAPI case studies Q&A takeaways

36. Content Browse by Source andTopicLearning Network by Provider
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background data viz case studies q&a takeaways

37. Competency MappingThrough Data ModelLearner Profile with Skill Development
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background data viz case studies q&a takeaways

38. Competency MappingThrough Data ModelLearner Profile with Skill Development
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background data viz case studies q&a takeaways

39. Competency MappingThrough Data ModelLearner Profile with Skill Development
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background data viz case studies q&a takeaways

40. Outcomes
ØProvides multiple pathways into content for
learners and improves content searchability
ØContent curation is streamlined through
playlist creation and community validation
ØProgress data from informal learning is
automatically collected and stored in a
learner’s profile
ØEnables a unified learner experience
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background data viz case studies q&a takeaways

41. What to do next?
Work with your own
data visually!
The Tree of the Two
Advents, 1202
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background data viz case studies q&a takeaways

42. Start with
Yet Adapter:
The fastest, easiest, free-est
way to get xAPI data.
Click to
transform data
to xAPI.Select and
upload a .csv
file from your
computer.
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background data viz case studies q&a takeaways

43. Start with
Yet Adapter:
The fastest, easiest, free-est
way to get xAPI data.
Create new
chips as needed.
Manipulate
columns from
.csv file to
configure xAPI
statements.
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background data viz case studies q&a takeaways

44. Start with
Yet Adapter:
The fastest, easiest, free-est
way to get xAPI data.
Send data to an
LRS of your
choice.
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background data viz case studies q&a takeaways

45. Start with
Yet Adapter:
The fastest, easiest, free-est
way to get xAPI data.
If you send it
to theYet LRS
it will look
something like
this!
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background data viz case studies q&a takeaways

46. Learner Dashboard
Ø What does my activity
tell me about the way I
learn?
Ø What’s a good fit for
me?
Ø What opportunities
are available to me as I
progress?
Ø What are the
competencies I need to
demonstrate in order
to achieve my goals?
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background data viz case studies q&a takeaways

47. Instructor Dashboard
Ø What does my class profile
suggest about the
appropriateness of the
content and instructional
strategy?
Ø Can I identify learners
based on trends in their
learner pathway?
Ø Can I identify who will
require intervention or
enhanced content?
Ø Is the instructional design
contributing to learning
growth?
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background data viz case studies q&a takeaways

48. Manager Dashboard
Ø Which of my team
members is best suited
for which role?
Ø If something goes
wrong, who can I count
on?
Ø Can understanding my
team’s experience
better prepare me for
challenges we will face
together?
Ø Can my team’s
experiences be used to
provide guidance to
other teams?
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background data viz case studies q&a takeaways

49. We come at this to
solve a data problem.
The Tree of the Two
Advents, 1202
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background data viz case studies q&a takeaways

50. Once we get the data
in the same format,
we can move on to
the real challenge —
solving our learner
experience problem.
The Tree of the Two
Advents, 1202
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background data viz case studies q&a takeaways

51. • Go explore an LRS for yourself — https://www.yetanalytics.com/demo
• Get aYet xAPI LRS Sandbox — https://www.yetanalytics.com/free-sandbox-account
• Start using theYet Adapter — https://www.yetanalytics.com/yetadapter
• TheYet Adapter allows non-technical users an easy way to upload spreadsheet data and
to transform it into xAPI data which can be sent to any Learning Record Store.
• Have questions? Want these slides? Leave a card or email margaret@yetanalytics.com
Thank you for sharing your time with me!
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background data viz case studies q&a takeaways

52. Let us know how we can help!
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background data viz case studies q&a takeaways

53. From learning analytics to data logistics, Yet
Analytics helps transform learning experience
into business intelligence.
Tools and solutions used to
improve learning and talent
development.
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background data viz case studies q&a takeaways