xAPI Workshop Agenda
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Workshop on using the Experience API (xAPI or TinCan) for education research. Presented by Ellen Meiselman, David Topps and Corey Albersworth, at Medbiq Annual Conference, Baltimore, MD in May 2016.
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xAPI Workshop Agenda
- 1. Ellen Meiselman David Topps Corey Albersworth Medbiq, May 2016 No conflict of interest to declare xAPI Workshop
- 2. Agenda ●Introductions & objectives 13:45 ●Quick primer 13:50 ●Activity 1 -- 14:05 ●Shout-out – 14:12 ●Devils and details – 14:15 ●Arduino demo – 14:30 ●Activity 2 – 14:50 ●Shout-out – 15:05 ●Wrap-up – 15:10
- 3. SCORM Shareable Content Object Reference Model circa 1999 – 2003 AD Learning Module API Adapter Learning Management System (LMS) DATA DATA
- 4. * Experience API For all the "other" learning we do!
- 5. Based on the Activity Streams standard Actor - Verb – Object “Bob did this”
- 6. * Why? ● Solve learning problems we have never been able to come close to solving. ● Enable learners and educators to track what is meaningful to them. ● Find out what is actually being used to learn. ● Give people credit for ad-hoc real life mentoring and learning.
- 8. * Track just-in-time online learning ● Bookmarklets to track learning from websites ● QR Codes to track mobile just-in-time learning ● Badge Swiper tracking to track instructor led sessions ● Sensors to track almost anything
- 9. * Reduce the pain of developing simple content 10 minutes to learn how to build a quiz? Wordpress for developing simple online learning content and quizzes. Uses: ●Quick knowledge check ●Detect problems ●Put reference materials online
- 10. * Bite-sized-learning ● Replace mandatories with emailed mastery quiz ● Single scenario-based question is answered right in the email or with a single click to a Wordpress quiz. ● Weekly quiz
- 11. Activity 1 ●What activities could you track? oBe creative – anything is trackable oBe practical – not everything is useful ●7 minutes o…followed by 3 min shout-out
- 12. Scaling up ●Lots and lots (and lots) of data ●Big data principles
- 13. What’s the fuss about Big Data? ●Framework oVolume, Variety, Velocity oDebated… more V’s ●TED talk by Kenneth Cukier owww.ted.com/talks/kenneth_cukier _big_data_is_better_data
- 14. Calgary examples – big Data
- 16. Medbiq groups
- 19. HPML Human Performance Measurement Language
- 20. Unanticipated needs ●The story of Charlie
- 21. Scaling up meaning Activities EPAs? Competencies xAPI affordances arising from common data standards across systems & devices
- 23. Arduino demo ●Are you stressed yet?
- 24. Activity 2 ●Choice of… oTop or bottom? oActivities what? oWhat would you use sensors for? ●15 minutes o…followed by 5 min shout-out
- 25. Wrap up
- 26. * Want to try it? Contact Ellen Meiselman emeiselm@umich.edu …or… http://openlabyrinth.ca
Editor's Notes
- Most of the online learning in MLearning uses an elearning standard called SCORM to communicate back to the LMS, but it is showing its age. It's one of the things standing in the way of the goal of correlating learning with performance and outcomes. There are technical issues, also with the standard, and there are a lot of structural issues as well. Our new learning management system will allow a bit more data flexibility, but mostly in a proprietary format, and it does little to address the structural issues and difficulty of data integration between systems
- It's syntax is based on a Subject- Verb-Object format, like RDF Triples. You can say things like: "Jane completed Patient Safety with a score of 100%" "Sue mentored Steve on this topic and here are Sue's comments and Steve's response" "Bob walked 30 minutes today, and his cardiac sensor data are attached, as well as the GPS track .
- We'll probably have to move the LRS outside the network eventually, or have two LRS's communicating with each other, or perhaps people will have personal LRS's.
- https://commons.wikimedia.org/wiki/File:Binary_heap_bottomup_vs_topdown.svg CC0
- ...describe experience and context data to assess learning and performance over time and adapt training across a variety of environments, systems, or modalities including both systems and human observers.
- Schema showing the structure of HPML