Estimating the Cost of xAPI: Using Data Simulation to Budget Your Implementation

One of the most frustrating things about xAPI is that it is difficult to gauge how much an implementation is going to cost. In order to account for xAPI statement size, volume and throughput, and data design quality when pricing an xAPI solution, we recommend building a synthetic data set representative of the data that you expect to run through your system.

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xAPI Profiles Shelly Blake-Plock xAPI Profiles Shelly Blake-Plock

xAPI Profiles: What You Need to Know

Whereas an xAPI data statement describes an action or activity, xAPI Profiles combine xAPI data statements to describe experiences. They are fundamental to unlocking the power of xAPI. And they are notoriously difficult to design. Fear not. We’ve designed a presentation to help you to understand how to design perfect xAPI Profiles.

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Conferences, GIFT Shelly Blake-Plock Conferences, GIFT Shelly Blake-Plock

Building Bridges: Learning Engineering and AI-enabled Intelligent Tutors

In the same way that Learning Engineering itself is developing into a sort of bridge between these disciplines in the pursuit of scaling meaningful and measurable learning experiences, likewise, as a data broker between the worlds of synthetic training and distributed learning analytics, GIFT serves as a sort of AI-enabled technological bridge.

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Open Source, xAPI, xAPI Profiles, Validation Shelly Blake-Plock Open Source, xAPI, xAPI Profiles, Validation Shelly Blake-Plock

xAPI Profile Validation: Open Source Resources from Yet

Yet Analytics has released two new open source libraries for xAPI Profile validation. The first is called Pan and is used to validate xAPI Profiles. The second is called Persephone and is used to validate xAPI statements against xAPI Profiles. Both libraries are distributed under the Apache 2.0 license.

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