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5 Models for Data-Driven Learning

Kristin Torrence

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Sozialwissenschaften, Recht, Wirtschaft / Wirtschaft

Beschreibung

Learning designers are no stranger to using models—consider ADDIE, SAM, and Merrill’s First Principles, which are widely implemented in the L&D industry. But a less commonly discussed practice is constructing models that help inform design decisions for the learning solutions we create.

In this issue of TD at Work, Kristin Torrence:

  • Outlines five L&D models
  • Describes how the models facilitate an evidence-based approach to design and assessment
  • Walks readers through how to develop each model in practice
  • Presents case studies for using the models for data-driven decision making

The Tools & Resources in this issue are a modeling preparation checklist and a bonus competency model template.

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