5 Models for Data-Driven Learning
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| Title: | 5 Models for Data-Driven Learning |
|---|---|
| Description: | 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. |
| Authors: | Kristin Torrence |
| Resource Type: | eBook. |
| Subjects: | Neurosciences--Statistical methods, Neurosciences--Data processing |
| Categories: | BUSINESS & ECONOMICS / Training, BUSINESS & ECONOMICS / Skills, BUSINESS & ECONOMICS / Strategic Planning |
| Database: | eBook Collection (EBSCOhost) |
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