Data & Analytics for Instructional Designers

Content

Add Data and Analytics to Your TD Toolkit

Add Data and Analytics to Your TD Toolkit

Content

With the advance of new learning technologies and data specifications, instructional designers have access to richer data sources than ever before. But with more data comes the question of what to do with it. Data and Analytics for Instructional Designers addresses what learning and performance data you need, how to design learning experiences with data collection in mind, and how to use the data to improve and evaluate those experiences.

With the advance of new learning technologies and data specifications, instructional designers have access to richer data sources than ever before. But with more data comes the question of what to do with it. Data and Analytics for Instructional Designers addresses what learning and performance data you need, how to design learning experiences with data collection in mind, and how to use the data to improve and evaluate those experiences.

Content

Instructional design pro Megan Torrance delivers a compelling resource for those who want to get some data and use it to transform their organizations. This book is split in two parts: the foundations and designing for data. It starts out defining key data and analytics terms, data specifications, learning metrics, and statistical concepts. Then, it lays out a framework for using learning data, from planning how to gather data to building scale and maturity in your data operations.

Instructional design pro Megan Torrance delivers a compelling resource for those who want to get some data and use it to transform their organizations. This book is split in two parts: the foundations and designing for data. It starts out defining key data and analytics terms, data specifications, learning metrics, and statistical concepts. Then, it lays out a framework for using learning data, from planning how to gather data to building scale and maturity in your data operations.

Content

This book takes a “If I can see it, I can be it” approach to learning data and analytics, blending practical what-is and how-to content and real-world examples and longer case studies from practitioners. Chapters conclude with opportunities for you to put these techniques to work right away, whether you are in a data-rich environment already, or whether you are just getting started and working on hypotheticals.

This book takes a “If I can see it, I can be it” approach to learning data and analytics, blending practical what-is and how-to content and real-world examples and longer case studies from practitioners. Chapters conclude with opportunities for you to put these techniques to work right away, whether you are in a data-rich environment already, or whether you are just getting started and working on hypotheticals.