Explain it Like I’m 5: What Are Learning Technology Standards, and Why Do I Need Them?

Join us for our first public webinar event of 2026.

Thursday, January 29, 2026 | 12:00–1:00 PM ET

Learning Technology and Data Standards, huh?

You've probably heard terms like "xAPI," "TLA," or "learning engineering" tossed around in conversations about training modernization. Maybe you've nodded along while quietly wondering: what do these actually mean, and why should my organization care?

This webinar is for you.

Join the founding board of the Institute for Infrastructure and Interoperable Data in Learning (I2IDL) for a plain-language introduction to the learning data ecosystem. We'll cut through the jargon and explain how standards like xAPI enable your learning systems to talk to each other, why "instrumentation" matters for understanding what's actually working in your training programs, and what it means when someone says they're doing "learning engineering."

What we'll cover:

  • The learning data and infrastructure landscape

  • How standards and standards organizations fit together

  • What the "Total Learning Architecture" (TLA) is and why it was developed

  • How data and learning technology standards can improve the outcomes of AI initiatives

We’ll also have:

  • A lightning round of key term explanations (interoperability, instrumentation, credentials)

  • Why interoperability matters for your organization's learning and workforce investments

Who should attend

Leaders and practitioners in workforce development, training and education technology, R&D, and professional certification, especially those who've been curious about learning data standards but haven't found the right entry point. Whether you are in industry, government, or academia you won’t want to miss this webinar and kick off to the work of I2IDL.

Presented by I2IDL’s founding board members: Shelly Blake-Plock, Sae Schatz, Megan Torrance, and Jim Goodell

We'll also share how you can get involved with I2IDL as we work to maintain critical Open Source learning infrastructure and advance research in this space.

Register now to reserve your spot and join our community.

We can’t wait to see you!

Register for Free
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Prediction #1: “Learning slop” will create a signal-to-noise problem, catalyzing demand for data provenance standards

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Recognition of I2IDL by the IEEE LTSC