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Improving the Learner
Experience Through an
xAPI-Enabled Multi-Source
Content Portal
April 17, 2018 — http://goo.gl/HfuscA
Project Summary
Through partnerships with leading human capital
organizations, the Learning Accelerator aims to transform
...
The Problem for Learners:
Multiple Pathways to Content
What if we could make the learner
experience personalized and
data-...
The Problem for Content Providers & Instructional
Designers: Insight into Learner Experience
Competency
Alignment
What res...
The Problem for Content Providers
& Instructional Designers
Competency
Alignment
What resources are
being used? What
conte...
The goal was to create a system
where there is interoperable
content aligned to interoperable
competencies made possible b...
Project Phases
Phase One: Data Model
● Develop a common language and data structure for competency
● Design a shared data ...
Phase One: Shared Data Model for Content
Task 1: Define Content
Relationships
● Identified how
resources relate to
each ot...
Phase One: Shared Data Model for Competency
Task 2: Define Competencies
● Built off of the iNACOL Blended Learning Educato...
Phase One: Shared Data Model for Competency
Task 3: Create Shared Tagging
Model
● Identified set of skill areas
(competenc...
Phase One: Shared Data Model for Competency
Task 3: Create Shared Tagging
Model
● Identified set of skill areas
(competenc...
Phase One: Shared Data Model for Competency
Skills/CompetenciesLearning Tags
Now fast forward 11 months while
we built out an xAPI-enabled
interface between the content, the
content providers, the
or...
Phase Two: The Learning Commons
March 13, 2018
Phase Two: The Learning Commons
● Provides multiple pathways into
content for learners and improves
content searchability
...
Unified Search Portal for Learners Content Accessibility by Search
Content Browse by ProviderContent Browse by Tags and Skills
Sharable for External ConnectionsCreation of Curated Playlists
Network Learning for Groups Recommendation by Relevance
Registration of Content to Data Model Competency Mapping by Data Model
Registration of Content to Data Model Competency Mapping by Data Model
Lesson Learned:
Design reference
systems and data
m...
Personalization for Learners Learner Profile with Competency
Personalization for Learners Learner Profile with Competency
Real-time
competency
development
measurement for
learners and...
Phase Two: Granular xAPI-Driven Insights
● Content usage patterns and
relevance of content to different
users and groups
●...
● Provides multiple pathways into
content for learners and improves
content searchability
● Content curation is streamline...
● Provides multiple pathways into
content for learners and improves
content searchability
● Content curation is streamline...
Rather than start with this as a data
problem, we used xAPI from the
very beginning of design to solve
our learner experie...
Project Outcomes
With more time and more data we expect:
● Content providers to be able to make decisions about content cr...
Thank You!
See the Learning Commons for yourself! Visit https://www.learning-commons.org.
See the case study and video on ...
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IEEE TAG xAPI Webinar Series: Improving the Learner Experience Through an xAPI-Enabled Multi-Source Content Portal

As part of the xAPI Case Studies Webinar Series hosted by the IEEE LTSC TAG xAPI, this presentation gives an overview of the creation of the Learning Commons. The Learning Commons is a shared space for connecting and accelerating educator learning created in partnership by the Learning Accelerator and Yet Analytics with support from innovative education organizations. The Learning Commons is an xAPI-enabled, multi-source content portal designed from the ground up with xAPI as part of the data model, powering a unified learner experience interface that allows learners to see how the informal learning content they work with aligns to competencies and skills they are working to build. As learners utilize content through curated playlists, skill and competency development is automatically tracked and presented back to learners, cohort leaders, and content providers through xAPI data.

The Google Slides version can be accessed at http://goog.gl/HfuscA. This presentation was presented in the xAPI Case Studies Webinar Series hosted by the IEEE LTSC TAG xAPI group on April 17, 2018.

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IEEE TAG xAPI Webinar Series: Improving the Learner Experience Through an xAPI-Enabled Multi-Source Content Portal

  1. 1. Improving the Learner Experience Through an xAPI-Enabled Multi-Source Content Portal April 17, 2018 — http://goo.gl/HfuscA
  2. 2. Project Summary Through partnerships with leading human capital organizations, the Learning Accelerator aims to transform K-12 education through blended learning on a national scale. As part of their distributed adult-learning strategy, TLA has partnered with Yet Analytics to create the Learning Commons, an xAPI-enabled, multi-source content exploration and experience tracking portal. As learners utilize content through curated playlists, skill and competency development is automatically tracked and presented back to individual learners, cohort leaders and content providers through xAPI data. +
  3. 3. The Problem for Learners: Multiple Pathways to Content What if we could make the learner experience personalized and data-driven at the same time? ● Figure out what they need to learn ● Find excellent content to learn it ● Track and reflect on progress ● Across boundaries of platform, location, time
  4. 4. The Problem for Content Providers & Instructional Designers: Insight into Learner Experience Competency Alignment What resources are being used? What content is most valuable? Usage Analytics Informal Learning Can we curate resources? Can we measure informal learning? How do resources relate to each other and build learner skills? What if we could make the learner experience personalized and data-driven at the same time? ● Find resources across content providers ● Find resources across competencies and frameworks ● Lead learners through recommended progressions ● Understand usage, value, and engagement
  5. 5. The Problem for Content Providers & Instructional Designers Competency Alignment What resources are being used? What content is most valuable? Usage Analytics Informal Learning Can we curate resources? Can we measure informal learning? How do resources relate to each other and build learner skills? What if we could make the learner experience personalized and data-driven at the same time? ● Find resources across content providers ● Find resources across competencies and frameworks ● Lead learners through recommended progressions ● Understand usage, value, and engagement Lesson Learned: Get your stakeholders all involved early!
  6. 6. The goal was to create a system where there is interoperable content aligned to interoperable competencies made possible by interoperable data.
  7. 7. Project Phases Phase One: Data Model ● Develop a common language and data structure for competency ● Design a shared data structure to tag content across platforms and sources Phase Two: Learner Portal ● Create a multi-source learning experience interface ● Collect and connect informal learning data as it happens
  8. 8. Phase One: Shared Data Model for Content Task 1: Define Content Relationships ● Identified how resources relate to each other ● Identified how resources from different content sources are related to the learner’s journey Content from these organizations are all on different platforms, LMSs, CMSs, and websites.
  9. 9. Phase One: Shared Data Model for Competency Task 2: Define Competencies ● Built off of the iNACOL Blended Learning Educator Competency Framework (bit.ly/blendedcompetencies) ● Translated bigger competency standards into granular, actionable elements (things we could do, see, measure, demonstrate with xAPI data)
  10. 10. Phase One: Shared Data Model for Competency Task 3: Create Shared Tagging Model ● Identified set of skill areas (competencies) and granular, measurable learning tags ● Linked the content to competencies ● All content aligned to xAPI data model for usage tracking and skill development Skills/Competencies Learning Tags
  11. 11. Phase One: Shared Data Model for Competency Task 3: Create Shared Tagging Model ● Identified set of skill areas (competencies) and granular, measurable learning tags ● Linked the content to competencies ● All content aligned to xAPI data model for usage tracking and skill development Skills/Competencies Learning Tags Lesson Learned: Don’t create another framework, make an interoperable system that can grow.
  12. 12. Phase One: Shared Data Model for Competency Skills/CompetenciesLearning Tags
  13. 13. Now fast forward 11 months while we built out an xAPI-enabled interface between the content, the content providers, the organizations, and the learners.
  14. 14. Phase Two: The Learning Commons March 13, 2018
  15. 15. Phase Two: The Learning Commons ● Provides multiple pathways into content for learners and improves content searchability ● Content curation is streamlined through playlist creation and community validation ● Progress data from informal learning is automatically collected and stored in a learner’s profile ● Enables a unified learner experience
  16. 16. Unified Search Portal for Learners Content Accessibility by Search
  17. 17. Content Browse by ProviderContent Browse by Tags and Skills
  18. 18. Sharable for External ConnectionsCreation of Curated Playlists
  19. 19. Network Learning for Groups Recommendation by Relevance
  20. 20. Registration of Content to Data Model Competency Mapping by Data Model
  21. 21. Registration of Content to Data Model Competency Mapping by Data Model Lesson Learned: Design reference systems and data models with change in mind!
  22. 22. Personalization for Learners Learner Profile with Competency
  23. 23. Personalization for Learners Learner Profile with Competency Real-time competency development measurement for learners and leaders, made possible by xAPI.
  24. 24. Phase Two: Granular xAPI-Driven Insights ● Content usage patterns and relevance of content to different users and groups ● Specific interaction data with content objects and media Data views from the Yet xAPI LRS have been generalized for this presentation.
  25. 25. ● Provides multiple pathways into content for learners and improves content searchability ● Content curation is streamlined through playlist creation and community validation ● Progress data from informal learning is automatically collected and stored in a learner’s profile ● Enables a unified learner experience Outcomes for Learning Commons
  26. 26. ● Provides multiple pathways into content for learners and improves content searchability ● Content curation is streamlined through playlist creation and community validation ● Progress data from informal learning is automatically collected and stored in a learner’s profile ● Enables a unified learner experience Outcomes for Learning Commons Lesson Learned: Build-in an adoption and roll-out plan for any new initiative!
  27. 27. Rather than start with this as a data problem, we used xAPI from the very beginning of design to solve our learner experience problem.
  28. 28. Project Outcomes With more time and more data we expect: ● Content providers to be able to make decisions about content creation and resource investment. ● Network leaders and districts to be able to make decisions about professional development opportunities and support for teachers. ● Educators to be able to make data-driven decisions about their own learning in ways that have positive impact for schools and students. +
  29. 29. Thank You! See the Learning Commons for yourself! Visit https://www.learning-commons.org. See the case study and video on the Yet Blog. Send questions or give feedback to me at margaret@yetanalytics.com. Learn more about our work at Yet at https://www.yetanalytics.com. Learn more about the Learning Accelerator at https://learningaccelerator.org/. +

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  • DamienHutchens

    Nov. 29, 2018

As part of the xAPI Case Studies Webinar Series hosted by the IEEE LTSC TAG xAPI, this presentation gives an overview of the creation of the Learning Commons. The Learning Commons is a shared space for connecting and accelerating educator learning created in partnership by the Learning Accelerator and Yet Analytics with support from innovative education organizations. The Learning Commons is an xAPI-enabled, multi-source content portal designed from the ground up with xAPI as part of the data model, powering a unified learner experience interface that allows learners to see how the informal learning content they work with aligns to competencies and skills they are working to build. As learners utilize content through curated playlists, skill and competency development is automatically tracked and presented back to learners, cohort leaders, and content providers through xAPI data. The Google Slides version can be accessed at http://goog.gl/HfuscA. This presentation was presented in the xAPI Case Studies Webinar Series hosted by the IEEE LTSC TAG xAPI group on April 17, 2018.

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