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Challenges of Modeling Longitudinal Development
xAPI Profiles, Synthetic Data, STEEL-R Shelly Blake-Plock 4/5/23 xAPI Profiles, Synthetic Data, STEEL-R Shelly Blake-Plock 4/5/23

Challenges of Modeling Longitudinal Development

Within a research context, there is a need for large and relevant activity data sets to test hypotheses regarding competency assertion. But where do these data sets come from?

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As experts in the implementation of IEEE data standards for xAPI activity data, xAPI Profiles, Learning Metadata, Shareable Competency Definitions, and Enterprise Learner Records, the Yet Analytics team brings a wealth of experience — having worked on complex learning ecosystem, data architecture, artificial intelligence, extended reality, and synthetic data projects in government, industry, and education. Our open source software portfolio is acknowledged as the leading software resource for data instrumentation in the field of Learning Engineering.

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