Learning Engineering is an interdisciplinary field that applies engineering principles to the design, development, and implementation of learning experiences. It involves integrating theories from education, psychology, and cognitive science with cutting-edge technologies and approaches to data design and implementation to create effective, efficient, and engaging learning environments capable of producing measurable outcomes.

ICICLE’s 2024 Learning Engineering conference revolves around the overarching theme of Solving for Complexity at Scale.

The conference focuses on solving the implicit complexity of learning challenges at different scales, from the individual tutor to massive open online courses and everything in between.

IEEE ICICLE’s 2023 Learning Engineering Conference will occur 24-26 July at Carnegie Mellon University in Pittsburgh, PA.

At the recent GIFTSym11, we presented recent applied research regarding the similarities between the function of AI-enabled intelligent tutoring systems and the process of Learning Engineering.

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.