Using Data & Analytics to Prove (and Improve) the Effectiveness of Training
2026-05-15 10:00 - 10:45 (Australia/Melbourne)
Using Data & Analytics to Prove (and Improve) the Effectiveness of Training
With Jason Haag from Veracity
L&D decision-makers and designers often do not know what learning analytics are possible or what should even be measured. This is a common challenge for many xAPI implementations. Many development efforts often start with only a basic understanding of xAPI and rush into implementing it without thinking about how the data will be evaluated later on. Basic xAPI support is provided by many authoring tools and its potential often excites us, but the default data is not often useful.
In this session we a joined by Jason Haag, Co-Founder of Veracity LRS. You’ll learn how to identify simple measures that will directly support your evaluation, reporting, and analytics goals. You’ll leave this session with new insights on how to strategically plan and implement xAPI-based content using this approach to better measure for business impact and learning or training effectiveness. This approach/angle on this topic is unique because it starts with the end in mind (evaluation) and will provide the audience with real-world examples and tangible visualizations they can use to spawn deeper thoughts and discussions on learning and performance analytics strategy.
[UPDATE] Due to unforeseen circumstances, this event has been moved to 15th May 2026.
View the webinar recording below:

Why xAPI Profiles Matter: From Data Chaos to Structured Learning Evidence
2026-06-19 10:00 - 10:45 (Australia/Brisbane)
Following on from our May session, this webinar explores what xAPI Profiles are and why they matter.
Join Matthew Kliewer from Torrance Learning as he leads this session on how xAPI Profiles bring structure to learning data, making it more consistent, interoperable, and useful across systems.
As the ADL Profile Server is phased out, the conversation is shifting from what a profile is to how we actually use them in practice. Matt will share how TorranceLearning is supporting the ongoing use of profiles and what this means for the future of learning data ecosystems.
If you’re working with xAPI, learning data, or building connected learning environments, this session will help you understand why structure matters.
Webinar Recording:
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Resources from the Webinar:
xAPI Profiles Resources
xAPI Profiles Specification
https://opensource.ieee.org/xapi/xapi-profiles/-/blob/main/xapi-profiles-about.md
xAPI Profiles Repository
https://github.com/adlnet/xapi-authored-profiles
xAPI Profile Viewer
https://tools.xapi.ly/profiles/#/
xAPI Concepts Viewer
https://tools.xapi.ly/concepts/#/
Example usage in Video Profile
https://liveaspankaj.gitbooks.io/xapi-video-profile/content/templates.html
Related
The Institute for Infrastructure and Interoperable Data in Learning (I2IDL)
https://www.i2idl.org/

TLA Study Group
https://www.tlastudygroup.com/
Remote Reviewer xAPI Profile
https://app.remotereviewer.com.au/xapiprofile/
Linked Data Explained: You’re No Dummy
https://blogs.lib.umich.edu/library-tech-talk/linked-data-explained-you%E2%80%99re-no-dummy
xAPI-Based L&D Measures Library
https://drive.google.com/file/d/1XEKezjPgZQGrQ09mujMojXRy1Sc-xhpM/view
xAPI Extensions: A Brief Guide for Learning Engineers
https://www.yetanalytics.com/s/xAPI-Extensions.pdf
xAPI Prepositions
Profile Concepts for prepositional relationships between actors and objects
https://github.com/yetanalytics/xapi-prepositions
LRSPipe
xAPI Statement forwarding/middleware process governed directly by xAPI Profiles
https://github.com/yetanalytics/xapipe

TLA Toolbox: Applying IEEE LTSC Specifications for Competency Definitions, xAPI Profiles, and Competency Assertions
2026-07-17 10:00 - 10:30 (Australia/Brisbane)
Ever wondered how IEEE learning standards actually work in practice? Henry Ryng has built a free tool to show you. Join us for a live walkthrough of TLA Toolbox (tlatoolbox.com), covering three core building blocks of the Total Learning Architecture:
Sharable Competency Definitions, xAPI Profiles, and the Rubric Assertion Profile, which connects xAPI evidence directly to competency rubric levels.
Henry will also touch on where the Experience Index and IEEE P2881 Learning Metadata fit into the picture, giving you a clearer view of how the full TLA ecosystem hangs together. Whether you’re new to TLA or already working with xAPI and want to go deeper, this session offers a practical, hands-on entry point straight from someone who lives and breathes these standards.
Watch the webinar below

Learning You Can Prove: Moving Beyond Completion to Evidence
2026-08-07 14:00 - 14:45 (Australia/Brisbane)
For years, workplace learning has relied on a simple, and flawed, proxy for success: completion. The course was launched, the module was viewed, the box was ticked. But none of that answers the question that actually matters:

Did it work?

In this session, learning architect and xAPI specialist Nicola Mastrorilli explores what it takes to move beyond completion data and toward something far more meaningful: evidence of learning.

At the core of Nicola’s approach is the XP² Method , a design framework that rethinks how learning experiences are structured, delivered, and measured. XP² maps learning across macro, meso, and micro arcs, ensuring that every interaction contributes to a broader, intentional learning journey. It combines Self-Determination Theory (motivation), Bloom’s Taxonomy (cognitive progression), and, critically, alignment to real business outcomes, not vanity metrics.

This means learning is no longer something you deliver and hope works. It becomes something you can design to be measurable from the start.

Supporting this, Nicola has developed a series of xAPI facilitation card decks that make the XP² Method tangible, allowing designers and trainers to physically map, prototype, and reason about learning experiences. These tools bridge the gap between theory and practice, turning abstract design principles into something you can actively build and refine.

Underpinning it all is xAPI, not as a reporting feature, but as the mechanism that captures meaningful evidence: what learners actually do, decide, apply, and achieve. The result is a shift from tracking activity to capturing proof.

We’ll also explore where this thinking is heading: toward xAPI-native, headless learning ecosystems that treat organisational knowledge as something to be captured, distilled, and continuously improved. not just delivered and forgotten.
