Building Bridges: Learning Engineering and AI-enabled Intelligent Tutors

Our contribution to this week’s GIFTSym11 will be two-fold.

First, we’ll be taking part in a presentation of the ongoing work on STEEL-R — specifically with regards to the role of xAPI Profiles in defining and measuring competencies. But then we’ll be expanding on that work and discussing the implications of GIFT — the Generalized Intelligent Framework for Tutoring — on the burgeoning field of Learning Engineering.

As a growing field, Learning Engineering takes cues from a diverse range of disciplines including learning science, software engineering, instructional and learning experience design, math and statistics, and data science. 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.

We’re looking forward to attending this week’s presentations and learning more about how others have been implementing GIFT. Watch this space for updates.

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A Simple Way to Publish xAPI Statements from Unity

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