5 Models for Data-Driven Learning

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Bibliographic Details
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)

Description
Abstract:	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.
ISBN:	9781957157146