Data and Analytics for Instructional Designers
ATD Press (Verlag)
978-1-953946-44-7 (ISBN)
Instructional design pro Megan Torrance addresses the importance of instructional designers accessing and applying learning and performance data—from how to design learning experiences with data collection in mind to 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 more and richer data sources than ever before. With that comes the question of what to do with the data. While most data and analytics books focus on their application for measurement and evaluation and assume a prior baseline understanding of what learning data and analytics mean, Data and Analytics for Instructional Designers delves into the foundational concepts that will 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 for planning how to gather data and to building scale and maturity in your data operations. Megan reassures readers that basic math skills with some computer assistance is what you’ll need to get going. So set aside any math anxiety!
Through a “If I can see it, I can be it” approach to learning data and analytics, the book blends practical what-is and how-to content with 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.
Megan Torrance is CEO and founder of TorranceLearning, which helps organizations connect learning strategy to design, development, data, and ultimately performance. Megan has more than 25 years of experience in learning design, deployment, and consulting. Megan and the TorranceLearning team are passionate about sharing what works in learning, so they devote considerable time to teaching and sharing about Agile project management for learning experience design and the xAPI. TorranceLearning hosts the xAPI Learning Cohort, a free, virtual 12-week learning-by-doing opportunity where teams form on the fly and create proof-of-concept xAPI projects. Megan is the author of ATD books (Agile for Instructional Designers, The Quick Guide to LLAMA), and two ATD TD at Work publications (Agile and LLAMA for ISD Project Management and Making Sense of xAPI). She is a frequent speaker at conferences nationwide. TorranceLearning projects have won several Brandon Hall Group awards, the 2014 xAPI Hyperdrive contest at DevLearn, and back-to-back Learning Guild DemoFest Best-in-Show awards in 2016/2017 with xAPI projects. TorranceLearning is a 2018 Michigan 50 Companies to Watch. A graduate of Cornell University with a degree in communication and an MBA, and an eCornell Facilitator in the Women’s leadership curriculum, Megan lives and works near Ann Arbor, Michigan.
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 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
Resources and References
Index
About the Author
| Erscheinungsdatum | 05.04.2023 |
|---|---|
| Reihe/Serie | None |
| Zusatzinfo | Illustrations |
| Verlagsort | Alexandria |
| Sprache | englisch |
| Maße | 152 x 228 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Wirtschaft ► Betriebswirtschaft / Management ► Personalwesen | |
| ISBN-10 | 1-953946-44-5 / 1953946445 |
| ISBN-13 | 978-1-953946-44-7 / 9781953946447 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
