Data and analytics for instructional designers / Megan Torrance.

Format:

Book

Author/Creator:

Torrance, Megan, author.

Language:

English

Subjects (All):

Personnel management.

Physical Description:

1 online resource (181 pages)

Place of Publication:

Alexandria, Virginia : Association for Talent Development, [2023]

System Details:

Mode of access: World Wide Web.

Summary:

"With the advance of new learning technologies and data specifications, instructional designers have access to more and richer data sources than ever before but don't often have the skills necessary to extract and apply the data. Data and analytics pro Megan Torrance delves into the foundational concepts that enable instructional designers and L&D professionals to use data in their roles. Split into two parts, the book first defines key data and analytics terms, data specifications, learning metrics, and statistical concepts. It then lays out a framework for using learning data--starting with planning how to gather data and ending with building scale and maturity in your data operations."--Description from page 4 of cover.

Contents:

Intro

Title Page

Copyright

Contents

Introduction

Part 1. The Foundations

1. Why Should Instructional Designers Care?

2. Getting Started With Definitions

3. Data Specifications in Workplace Learning

4. Unique Learning Metrics

5. A Little Bit of Statistics

Part 2. Designing for Data

6. A Framework for Using Workplace Learning Data

7. Make a Plan for Gathering and Using Data

8. Form Your Hypothesis and Specify Data Needs

9. Identify Data Sources

10. Build in Data Capture

11. Store the Data

12. Iterate on the Data and the Analysis

13. Communicate and Visualize the Data

14. Build Scale and Maturity

Acknowledgments

Further Reading

References

Index

About the Author

About ATD.

Notes:

Includes bibliographical references and index.

Description based on print version record.

ISBN:

9781953946454

1953946453

OCLC:

1369653844